Embark on a transformative journey into the world of industrial robotics with our comprehensive course designed to empower you with the knowledge and skills needed to excel in this dynamic field. Whether you're a beginner or seasoned professional, this course offers a deep dive into the fundamental principles, advanced techniques, and real-world applications of industrial robotics.

Through engaging lectures, hands-on demonstrations, and interactive exercises, you'll explore the intricacies of robot design, programming, and operation. From understanding the mechanics of robotic arms to mastering programming languages like ROS (Robot Operating System), you'll gain a solid foundation to tackle complex challenges in industrial automation.

But we don't stop at theory. Our course is crafted to bridge the gap between concept and practice, equipping you with practical skills that are immediately applicable in the industry. You'll have the opportunity to work with state-of-the-art robotic platforms, simulate industrial scenarios, and troubleshoot common issues, ensuring you're ready to hit the ground running in real-world environments.

Whether you aspire to enhance your career prospects, innovate within your current role, or simply satisfy your curiosity about the future of automation, this course provides the roadmap to success in the captivating realm of industrial robotics. Join us and unlock your potential to shape the future of manufacturing, engineering, and beyond.

• Beginners interested in robotics
• Seasoned professionals seeking to enhance skills
• Engineers and technicians in automation
• Students in engineering or technology fields

• Manufacturing
• Engineering
• Automation
• Robotics

• Industrial automation
• Robot design and programming
• Application of robotic systems in manufacturing
• Troubleshooting and operational skills in robotics

• Understand robot kinematics & dynamics for accurate motion analysis & planning
• Ensure workplace safety by implementing risk assessment & safety protocols
• Troubleshoot common issues & perform maintenance tasks for optimal robot performance
• Explore industrial applications like manufacturing, welding, and inspection, maximizing
• Basic Knowledge of Electrical/Mechanical Technology
• Basic concepts of physical science
• Basic Knowledge of Digital Electronics

• Introduction to the Course & Instructor
• Industrial Robotics
• Components of Industrial Robotics
• Robot Kinematics
• Robot Dynamics
• Robot Programming
• Safety in Industrial Robotics
• Case Study
• Control System for Robotics
• Machine Vision
• Robot Localization and Mapping
• Robot Motion Planning and Control
• Mobile Robotics and AGVs
• Advanced Topics in Mobile Robotics
• Course Conclusion
• Robot Integration and communication Systems
• Wearable Robots and Exoskeletons
• Robot Simulation Tools
• Vision Systems and Advanced Sensing
• Cloud Robotics
• Applications of Industrial Robotics & Quality Control and Inspection
• DOF & Work Volume
• Joint Drive Systems
• Manipulator Kinematics
• Robotic Process Automation (RPA)

https://aasess.com/

https://www.facebook.com/aasengineeringservices/

https://linkedin.com/https://www.linkedin.com/in/muhammad-asif-a009201a5/

Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations.

In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement.

You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient. Finally, you will be able to apply the tools that you just gained to improve a process of your own.

This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course.

Join me and we will learn together about operations!

• Individuals with a basic understanding of business concepts
• Beginners in operations management
• Professionals seeking to improve process efficiency
• Participants who have completed the Supply Chain Logistics course (ideal but not mandatory)

• Manufacturing
• Supply Chain Management
• Operations Management

• Process Improvement
• Lean Methodology
• Six Sigma Methodology

• Lean Six Sigma
• Supply Chain
• Six Sigma
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

• Lean Operations and Theory of Constraints

Module 1

• Lean Inventory

Module 2

• Six Sigma

Module 3

• Lean Six Sigma

Module 4

http://www.business.rutgers.edu/faculty-research/directory/leuschner-rudi

https://www.linkedin.com/in/rudolf-leuschner-37407597

PROVIDER

Coursera

DESCRIPTION

This course provides a practical introduction to statistical analysis and machine learning with Python. Learn essential machine learning concepts, methods, and algorithms with a focus on applying them to solve real-world problems.

By the end of the course, you will:

• Understand different data types used in statistical analysis.
• Learn techniques to manage inconsistent data effectively.
• Perform hypothesis testing using parametric and non-parametric tests.
• Develop exploratory data analysis (EDA) models using statistical and machine learning methods.
• Enhance machine learning models through evaluation and optimization techniques.

Designed for individuals with a foundational knowledge of Python programming and basic statistical concepts, this course is ideal for aspiring data analysts, data scientists, business executives, machine learning engineers, and anyone passionate about data-driven decision-making.

Gain hands-on experience in statistical and predictive modeling and apply your skills to real-world scenarios.

TARGET

• Aspiring Data Analysts
• Data Scientists
• Business Executives
• Machine Learning Engineers
• Individuals passionate about data-driven decision-making

SECTOR

• Technology
• Finance
• Healthcare
• Retail
• Marketing

AREA

• Statistical Analysis
• Machine Learning
• Predictive Modeling
• Data Management
• Exploratory Data Analysis (EDA)

LEARNING OUTCOMES

• Manage and preprocess data for statistical analysis and modeling
• Conduct hypothesis testing using advanced statistical techniques.
• Build exploratory data analysis (EDA) models to uncover insights.
• Build and evaluate models to solve real-world data challenges.
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• Data and Information

Module 2

• Probability Distribution Function

Module 2

• Inferential Statistics

Module 3

• Introduction to (Exploratory Data Analysis) EDA

Module 4

• Predictive Modeling and Analysis

Module 5

• Course Wrap-Up and Assessment

Module 6

APPROACH/

METHOD

Online

DURATION

16 hours to complete/3 weeks at 5 hours a week

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

www.edureka.co

DATE

Start jan 28 2025 / always available

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/predictive-modeling-with-python

This course focuses on data-driven methods that are dramatically changing the creative industry sector, by providing new ways to reach informed decisions, exploiting big data, data science and machine learning over information about products, sales, and customer behavior.

This course addresses users who need new skills able to embrace AI (Artificial Intelligence) potential within humanities centered analysis. Moreover it is important to master essential digital/coding skills, to cope with the size of the information to be represented, and to couple them with the craft of effective image generation.

It also addresses users who want to create data visualizations meant to obtain insights and readings as well as for the public communication of it, with the goal of fostering public interest about the topic.

Furthermore users will learn how to develop interactive narratives projects through fundamentals of Interactive Narratives, across literature and current trends with a presentation of a set of tools to support the design of interactive narrative projects for fashion and branding.

To successfully complete this course, and henceforth receive the certificate of accomplishment, it is necessary to pass the quiz with 60%.

Once you have successfully passed the course, you can request the Certificate of Accomplishment without waiting for the end of the edition.

pok@polimi.it

PROVIDER

Coursera

DESCRIPTION

The Internet of Things (IoT) stands to be the next revolution in computing. Billions of data-spouting devices connected to the Internet are already fundamentally changing the way we live and work.

This course teaches a deep understanding of IoT technologies from the ground up. Students will learn IoT device programming (Arduino and Raspberry Pi), sensing and actuating technologies, IoT protocol stacks (Zigbee, 5G, NFC, MQTT, etc), networking backhaul design and security enforcement, data science for IoT, and cloud-based IoT platforms such as AWS IoT.

As an optional honors avtivity, students will be guided through laboratory assignments designed to give them practical real-world experience, where they will deploy a distributed wifi monitoring service, a cloud-based IoT service platform serving tens of thousands of heartbeat sensors, and more.

Students will emerge from the class with a cutting-edge education on this rapidly emerging technology segment, and with the confidence to carry out tasks they will commonly encounter in industrial settings.

Important: To complete the practical part of the whole series (honors) there will be practical experimentation using actual hardware, which you will need to acquire. (Cost may vary between 100 and 200 USD depending on your location). Most parts that are needed for the first course, will be re-used in the subsequent courses of the series, minimizing additional costs.

TARGET

• Students (particularly those in engineering, computer science, or technology fields)
• Professionals looking to upskill in IoT technologies
• Researchers in the field of IoT or related areas
• Industry Practitioners seeking hands-on IoT experience

SECTOR

• Technology
• Telecommunications
• Software Development
• Data Science
• Industrial Automation

AREA

• IoT Device Programming
• Sensing and Actuating Technologies
• Networking and Protocols
• Cloud Computing
• Data Science Applications in IoT
• Security in IoT Systems
• Practical Laboratory Experience with IoT Hardware

LEARNING OUTCOMES

• Assembly of networked devices, programming of networked devices
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• Week 1: Orientation, Basics and Lab instructions

Module 1

• Week 2 - Devices: IoT circuits

Module 2

• Week 3 - IoT Devices Architecture

Module 3

• Week 4 - Devices: Arduino Programming and Lab Submission

Module 4

APPROACH/

METHOD

Online

DURATION

12 hours

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

http://illinois.edu/

DATE

Start jan 28 2025 /always available

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/iot-devices-il

PROVIDER

Coursera

DESCRIPTION

This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program, you'll have a richer understanding of the complexities that companies are facing in today's global networked economy. The Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy.

TARGET

• Directors
• Manager
• Engineers

SECTOR

• Automotive
• Aerospace
• Agriculture
• Chemical
• Computer - Software
• Construction
• Education
• Research & Development
• Energy

AREA

Supply Chain Management. Master the Fundamentals: Logistics, Operations, Planning, Sourcing, and Strategy.

LEARNING OUTCOMES

• Learn in-demand skills from university and industry experts
• Master a subject or tool with hands-on projects
• Develop a deep understanding of key concepts

LEARNING CONTENT

Specialization - 5 course series

APPROACH/

METHOD

Online

DURATION

About 20 weeks

ASSESSMENT

17 assessments during 5 courses

CERTIFICATION

Earn a career certificate from Rutgers the State University of New Jersey

COST

When you enrol in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for Free. With certificate is 36 Euro/Month

Contact Provider

Instructor : rudi@business.rutgers.edu

DATE

2020 - always available

LOCATION

Online

WEBSITE

https://www.coursera.org/specializations/supply-chain-management?action=enroll

PROVIDER

Udemy

DESCRIPTION

In today’s competitive marketplace, companies are under constant pressure to perform in a business environment of reduced capital, slowing growth rates, and increased shareholder demands. Now more than ever, it’s important that your organisation learns to maximise the power of its working capital by cutting costs and reducing the expenses associated with its Supply Chain Operations.

Every organisation, whether it manufactures goods or provides services, needs a reliable flow of materials. Global logistics operations play an essential role in the commercial supply chain function, and are responsible for all aspects of material movement. In fact, wise business owners and managers are quickly realising that, rather than being an isolated operation, their supply chain occupies a unique position in linking external suppliers with customers. If you want your organisation to benefit from a more competitive position, it’s crucial that you take steps to develop and implement an effective logistics strategy as part of your supply chain integration.

Logistics and Supply Chain Management is a particularly fast-moving field whose ultimate goal is to delight and satisfy the customer. The methods and management strategies your business adopts for everything from procurement of goods to control of inventory will have a profound impact on costs, customer service, and your company’s overall profitability.

No business works in isolation, and recent developments in how companies operate in terms of integrating fresh technologies, exploiting global markets, and serving and communicating with customers are making new demands on planning and controlling the flow of materials. This course has been designed to give business owners and managers a current view of supply chain management, and an introduction to the best methods for responding to modern demands through improvements in areas like capacity, warehouse, and transportation strategies.

This course will teach you everything you need to know to successfully manage the end-to-end, forward and backward flow of materials and information across your supply chain. Together, we’ll examine the concepts, tactics, and applications of various logistics tools and technologies in order to promote a big-picture understanding that extends well beyond internal operations.

By the end of this course, you’ll have a valuable and practical skill set that will allow you to create, implement, and oversee the activities of a global supply chain involving suppliers, distributors, and customers world-wide. You’ll know how to consistently adhere to best practices, and you’ll understand the common terminology that’s used in corporate communications. By showing you how to modernise your approach to supply chain management, this course will make it possible to improve your position in the marketplace through the efficient flow of goods and materials from the supplier, to your business, to the customer – and back again.

TARGET

• Beginners and intermediate students/professionals in logistics, supply chain, and operations management
• Seasoned professionals seeking a refresher on logistics and supply chain management

SECTOR

• Logistics and Supply Chain Management

AREA

• Supply Chain Operations
• Procurement of Goods
• Inventory Control
• Warehouse Management
• Transportation Strategies
• Global Supply Chain Integration

LEARNING OUTCOMES

• You’ll have a thorough understanding of the role played by the logistics and supply chain function, particularly in terms of its key activities and ultimate aim
• You’ll learn how to develop, plan, and implement logistics and supply chain strategies that address capacity, external integration, and global operations
• You’ll understand the factors involved in facilities location decisions, including costing and scoring models
• You’ll be able to use tactical methodologies like MRP and JIT for capacity planning and supply chain control
• You’ll discover the best ways to improve purchasing, procurement, and transportation functions by learning how to choose suppliers and cost modes of transport
• You’ll understand the significance of the roles played by warehouse activities, equipment, and layout and operations
• You’ll know how to manage, calculate, and control inventory costs, economical order quantities, lead times, periodic review systems
• You’ll discover how to effectively measure and analyse your supply chain performance and operations in order to improve logistics and increase market resiliency
• You’ll understand best practices for managing returns and achieving social, economic, and environmental responsibility
• You’ll learn all the essential lean tools and techniques you need to improve your business process, achieve customer delight

LEARNING CONTENT

• Supply Chain Management and Logistics Basics
• Supply Chain Management and Logistics Strategy
• Supply Chain Integration
• Demand Management
• Planning and Controlling the Flow of Materials
• Managing Capacity
• Customer Relationship Management
• Purchasing and Procurement
• Inventory Management
• Location Decisions
• Warehouse Management
• Global Logistics Operations
• Transportation
• Workforce Management
• Health and Safety Considerations
• Performance Measurement
• Risk Management
• Reverse Logistics
• Sustainability
• Link between Finance and Operations
• Technology in SCM
• Project Management
• Outsourcing
• Business Process Management
• Continuous Improvement

APPROACH/

METHOD

Online

DURATION

30 hours

ASSESSMENT

No

CERTIFICATION

Yes

COST

€19.99

Contact Provider

https://www.udemy.com/course/logistics-and-supply-chains-fundamentalsdesignoperations/#instructor-1

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/logistics-and-supply-chains-fundamentalsdesignoperations/?couponCode=NEWYEARCAREERFT

PROVIDER

Alison

DESCRIPTION

Embark on a comprehensive exploration of Artificial Intelligence (AI) in Supply Chains and Logistics with our dynamic course. Delve into the integration of AI technologies and their transformative impact on various aspects of supply chain management. You'll dissect key topics such as demand forecasting, inventory management, transportation optimisation, and last-mile delivery. Learn how AI algorithms analyse vast datasets to predict demand accurately, optimise inventory levels, and streamline transportation routes.

Gain practical insights into the applications of AI in supply chain operations, from warehouse automation to dynamic safety stock management. Understand the evolution of AI technologies in logistics, from early rule-based systems to advanced machine learning algorithms and predictive analytics. Explore real-world case studies and examples of AI implementation in industry-leading organisations. By the end of the course, you'll be equipped with the knowledge and skills to harness AI's potential for enhancing supply chain efficiency and driving business success.

Whether you're a supply chain professional seeking to optimise processes or an entrepreneur aiming to leverage cutting-edge technologies, this course offers invaluable insights and practical strategies. Develop a deep understanding of AI's role in transforming supply chains and gain a competitive edge in the rapidly evolving industry. Start the course today and unlock the potential of AI to upscale your logistics business success.

TARGET

• Supply Chain Managers
• Logistics Professionals
• AI & Data Analysts in Logistics
• Operations & Inventory Managers
• Transportation & Fleet Managers
• E-commerce & Retail Logistics Experts
• Business Leaders & Decision-Makers
• Tech Enthusiasts Interested in AI for Logistics

SECTOR

• Supply Chain & Logistics
• E-commerce & Retail
• Manufacturing & Production
• Transportation & Freight Management
• Warehousing & Inventory Management
• Artificial Intelligence & Data Analytics
• Smart Cities & Urban Mobility
• Telecommunications & IoT in Logistics

AREA

• AI-Driven Supply Chain Optimization
• Inventory & Demand Forecasting
• Logistics & Transportation Management

LEARNING OUTCOMES

This course explores how Artificial Intelligence enhances supply chain and logistics management by optimizing inventory control, demand forecasting, and route planning. Learners will gain insights into AI-driven automation, Intelligent Transportation Management Systems (I-TMS), and last-mile delivery solutions to improve efficiency and scalability in logistics operations.

LEARNING CONTENT

• Al in Supply Chains and Logistics
• Learning Outcomes
• Introduction to Al in Supply Chains and Logistics
• Al Applications in Demand Forecasting and Inventory Management
• Al in Transportation and Route Optimisation

APPROACH/

METHOD

Online

DURATION

1.5 h to 3h

ASSESSMENT

Yes

CERTIFICATION

-

COST

-

Contact Provider

DATE

LOCATION

Online

WEBSITE

https://alison.com/course/artificial-intelligence-for-supply-chains-and-logistics

PROVIDER

Coursera

DESCRIPTION

In the Supply Chain Management and Analytics course, you’ll learn the foundations of supply chain management and how the Supply Chain Analyst role has an impact on the entire supply chain including making smarter, quicker, and more efficient decisions. You’ll focus on the supply chain process, how to use analytics to identify potential opportunities in all aspects of the supply chain, and how to monitor supply chain security risks to help minimize their impact on the entire supply chain. Additionally, you’ll explore the future of supply chain and how it's impacted by security and sustainability.

TARGET

• Supply Chain Analysts
• Logistics Professionals
• Operations Managers
• Business Analysts
• Students/Professionals seeking a career in supply chain management

SECTOR

• Supply Chain Management
• Logistics and Transportation
• Manufacturing
• Retail
• E-commerce

AREA

• Supply Chain Processes
• Data Analytics in Supply Chain
• Supply Chain Security
• Sustainability in Supply Chain
• Financial Impact Analysis in Supply Chain

LEARNING OUTCOMES

• Risk Management
• Data Analysis
• Problem Solving
• Presentation Layer
• Data Visualization
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate from Unilever

LEARNING CONTENT

• Supply chain management fundamentals
• Importance of supply chain planning analytics
• Supply chain analytics in demand planning, scheduling and manufacturing
• Supply chain analytics in finance and logistics
• Supply chain security and sustainability

APPROACH/

METHOD

Online

DURATION

Approx. 33 hours

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.coursera.org/instructor/~141749357

DATE

Start jan30 2025/ always available

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/supply-chain-management-and-analytics

PROVIDER

Udemy

DESCRIPTION

Become a complete A.I., Data Scientist and Machine Learning engineer! Join a live online community of 900,000+ engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies. You will go from zero to mastery!

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want.

The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets).

TARGET

• Aspiring data scientists and machine learning engineers
• Beginners with no prior programming experience
• Individuals with some programming knowledge wanting to deepen their understanding of data science
• Professionals looking to transition into data science or machine learning roles

SECTOR

• Data Science
• Machine Learning
• Artificial Intelligence (AI)
• Technology/Information Technology (IT)

AREA

• Data exploration and visualization
• Neural networks and deep learning
• Model evaluation and analysis
• Programming in Python
• Machine learning libraries (TensorFlow, Scikit-Learn, etc.)
• Data science projects and workflows
• Supervised and unsupervised learning techniques
• Data preparation and cleaning
• Advanced topics like transfer learning and ensemble learning
• Real-world applications and project development

LEARNING OUTCOMES

• Become a Data Scientist and get hired
• Master Machine Learning and use it on the job
• Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
• Use modern tools that big tech companies like Google, Apple, Amazon and Meta use
• Present Data Science projects to management and stakeholders
• Learn which Machine Learning model to choose for each type of problem
• Real life case studies and projects to understand how things are done in the real world
• Learn best practices when it comes to Data Science Workflow
• Implement Machine Learning algorithms
• Learn how to program in Python using the latest Python 3
• How to improve your Machine Learning Models
• Learn to pre process data, clean data, and analyze large data
• Build a portfolio of work to have on your resume
• Developer Environment setup for Data Science and Machine Learning
• Supervised and Unsupervised Learning
• Machine Learning on Time Series data
• Explore large datasets using data visualization tools like Matplotlib and Seaborn
• Explore large datasets and wrangle data using Pandas
• Learn NumPy and how it is used in Machine Learning
• A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
• Learn to use the popular library Scikit-learn in your projects
• Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
• Learn to perform Classification and Regression modelling
• Learn how to ap

LEARNING CONTENT

• Introduction
• Machine Learning 101
• Machine Learning and Data Science Framework
• Data Science Environment Setup
• Pandas: Data Analysis
• Matplotlib: Plotting and Data Visualization
• Scikit-learn: Creating Machine Learning Models
• Supervised Learning: Classification + Regression
• Milestone Project 1: Supervised Learning (Classification)
• Milestone Project 2: Supervised Learning (Time Series Data)
• Data Engineering
• Neural Networks: Deep Learning, Transfer Learning and TensorFlow
• Storytelling + Communication: How To Present Your Work
• Career Advice + Extra Bits
• Learn Python49 lectures
• Learn Python Part 25
• Extra: Learn Advanced Statistics and Mathematics
• Where To Go From Here?
• BONUS SECTION

APPROACH/

METHOD

Online

DURATION

43.5 hours on-demand video

ASSESSMENT

No

CERTIFICATION

Yes

COST

€99.99

Contact Provider

https://zerotomastery.io/

https://www.mrdbourke.com/

https://twitter.com/mrdbourke

https://linkedin.com/in/mrdbourke

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/?couponCode=NEWYEARCAREER

PROVIDER

Udemy

DESCRIPTION

This course will allow you to have a big picture of the orchestration of logistics/transportation presenting the different means of transportation.

This is my humble experience of 20 years as CEO of my company of export/import in China and Professor for several MBA business schools throughout the world. It means this is concrete and not purely theoretical but down to earth and practical!

This course stands for the fruit of operational 20 years of real experience meaning thereby rich of many testimonies, tips and advice.

TARGET

• Beginners wanting to discover transportation and logistics
• Business school students seeking practical skills and experience
• Buyers, purchasers, product managers wanting to deepen their knowledge
• Entrepreneurs needing to manage transportation and logistics for their business

SECTOR

• Logistics
• Transportation
• International Trade
• Import/Export industry

AREA

• Logistics management
• Shipment organization
• Incoterms and responsibilities
• Transportation cost calculation
• Documentation for exporting/importing

LEARNING OUTCOMES

• You will be able to understand transportation and logistics everywhere in the world: the ins and the outs (Big Picture)
• You will have the techniques to organize transportation and logistics whatever the products
• You will have operational templates to start immediately and to put into practice your knowledge to manage the transportation
• You will be able to handle a shipment from A to Z (from the organization/booking to the final delivery)
• You will be able to calculate the costs per type of transportation and manage the key documents for exporting/importing

LEARNING CONTENT

• Introduction1 lecture
• Part1: The different transportation means
• Part2: Process of a shipping (steps)
• Part3: Responsibilities : Incoterms
• Part4: Costing : price breakdown
• Part5: Official documents for export/import
• Part6: Booking a shipment
• Part7: Logistic optimization
• EXTRA reformulations: Transportation and Logistics
• Conclusion
• EXPLORE FURTHER
• Assessment

APPROACH/

METHOD

Online

DURATION

7.5 hours on-demand video

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

€69.99

Contact Provider

https://aurelienmillot.com/

https://linkedin.com/in/aurelienmillot/

https://www.youtube.com/channel/UCnd8u-C31R70PwWU3_C2zZg

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/transportation-and-logistics/?couponCode=NEWYEARCAREER#instructor-1

PROVIDER

Alison

DESCRIPTION

Regardless of its excellence, every product must undergo a rigorous development process. Here, one of the most important roles is played by Product Systems Engineering, which ensures the smooth development of products. As a vast field, it is meant for people with a computer science or engineering background. The main aim of any product system engineer is to ensure that every product is designed as intended. They also implement different marketing principles across a product's developmental life cycle.

This said, Exoexcellence Consultants have brought forth this course on PSE. It is meant for those Alison students who want to pursue this field as their profession. Moreover, it would also benefit the systems engineers who want to revisit the basic concepts of their field and understand their practical implications. This course has been divided into two modules. The first provides the students with an introduction to the field. In contrast, the second module explains various essential concepts, such as life cycles in product development, building hierarchy and categories, introducing product value, and more.

The course will also acquaint students with New Product Development Process elements, different development methods used in product manufacturing, and the significant stages of product development. The course is easy to navigate and comprehensibly explains the basics of product development. By enrolling in it and earning a certification, students can quickly improve their job-related prospects and upscale their professional skills. Happy learning!

TARGET

• Aspiring Product Systems Engineers: Individuals looking to build a career in product development and systems engineering.
• Current Systems Engineers: Professionals who wish to refresh their knowledge and understand practical applications of PSE principles.
• Computer Science and Engineering Graduates: Those with a technical background seeking to specialize in product development.
• Industry Professionals: Anyone involved in product development processes who wants to enhance their skill set.

SECTOR

• Engineering
• Product Development
• Manufacturing
• Technology and Software Development
• Consulting

AREA

• Product Systems Engineering Basics: Introduction to the field and its importance in product development.
• Product Development Life Cycle: Understanding the stages involved in bringing a product from concept to market.
• New Product Development Process: Elements and methodologies involved in developing new products.
• Marketing Principles in Product Development: How to implement marketing strategies throughout a product’s life cycle.
• Hierarchies and Categories of Products: Building logical frameworks for organizing product information and value.
• Methods and Techniques for Product Manufacturing: Various approaches utilized in the manufacturing phase of product development.

LEARNING OUTCOMES

• Recognize how product development takes place in a stepwise fashion
• Identify the three different life cycle models to execute a project
• Define the Waterfall approach, the iterative-incremental approach, and the Agile methodology
• Explain the importance of product hierarchy for businesses
• Define Product System Engineering, New Product Development Processes, and their components
• Explain product, product realization, product sustainment systems, and different PSE domains
• Indicate the concept of product development
• List the three basic methods used in product development
• Outline the design thinking method, development method for manufactured goods, and fuzzy front-end method
• Describe the method of creating successful product hierarchies and product categories
• Summarize the ways businesses can add value to their products and services
• Recognize the steps and methods involved in requirements elicitation

LEARNING CONTENT

• Module 1: Introduction to Product System Engineering

This module introduces you to the field of product systems engineering. In this regard, you will learn about various components of a product system and domains in product systems engineering. The module also discusses the three core concepts surrounding product development, along with an explanation of the product development process

• Module 2: Deep Insights into Product Development

In this module, we will explore different strategies involved in the product life cycle, i.e., the Waterfall model, iterative-incremental approach, and agile. Product hierarchy and its components are also discussed in this module. Moreover, you will also learn to develop products with values, along with understanding boundaries and interfaces

• Module 3: Course assessment

APPROACH/

METHOD

Online

DURATION

4-5 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://alison.com/course-creators/exoexcellence-consultants

DATE

Always available

LOCATION

Online

WEBSITE

https://alison.com/course/fundamentals-of-product-development-and-systems-engineering

PROVIDER

Udemy

DESCRIPTION

KAIZEN EVENT: Become a Certified Kaizen Event Specialist (Accredited) | Earn Accredited Kaizen Event Specialist Certification | 3 official PDUs | PDCs | CPDs | CEUs

NOTE: Students who complete this Kaizen Event Specialist Certification course are offered the opportunity to apply for an optional Kaizen Event Specialist Certification Exam, free of charge. Passing this certification exam enables you to earn the officially accredited Kaizen Event Specialist Certification. This external exam, which is both optional and free (for the first two attempts), takes place off the Udemy platform.

It requires registration (name, email, and your Udemy certificate) and is administered by AIGPE™ (Advanced Innovation Group Pro Excellence), a global Lean Six Sigma Credentialing Organization serving professionals in 193+ countries across various industries.

INDUSTRY RECOGNIZED ACCREDITED KAIZEN EVENT SPECIALIST CERTIFICATION:

1. Authorized Training Partner - PMI®: AIGPE™ is the Official Authorized Training Partner (ATP) of the globally recognized Project Management Institute (PMI®) (Provider No. 5573). The PMI® Authorized Training Partner seal is a registered mark of the Project Management Institute, Inc.
2. CPD Accredited Training & Certification: This Kaizen Event Specialist Training Program and the Kaizen Event Specialist Certification you receive is accredited by the globally renowned CPD Certification Service (Provider No: 14627, Certificate No: 61234).
3. Recognized as a "Provider of Choice" by SHRM: AIGPE™ is also recognized as a "Provider of Choice" (Recertification Partner) of the world's largest society for Human Resources called the Society for Human Resource Management (SHRM).
4. Earn PDUs/PDCs/CPDs/CEUs: Due to the above accreditations and associations, after completing this course and passing the certification exam, you receive a globally recognized certification in which 3.0 official PDUs/PDCs/CPDs/CEUs are granted (at no extra cost).

Kaizen Event Specialist Training and Certification

re you a service industry professional tired of inefficiencies in your organization? Do you want to stand out by leading impactful process improvements and making a real difference in your workplace? Are you looking to add "Certified Kaizen Event Specialist" to your professional credentials and boost your career with globally recognized credits like CPD, PDU, and PDC?

If so, this is the course for you.

In this comprehensive Kaizen Event program, I will teach you both the foundational theory of Kaizen Events and their practical application in the service industry. The course is specifically designed to provide you with hands-on expertise in leading successful Kaizen Events, helping you become a sought-after problem-solver and a leader of continuous improvement in your organization.

What is a Kaizen Event?

A Kaizen Event is a focused, short-term initiative aimed at solving specific problems and achieving rapid, measurable improvements. Unlike long-term improvement projects, Kaizen Events allow cross-functional teams to collaborate intensely over a few days to identify inefficiencies, address root causes, and implement sustainable solutions.

Kaizen Events are the secret behind organizations achieving operational excellence by systematically eliminating waste and streamlining workflows.

Who is a Kaizen Event Specialist?

• A Certified Kaizen Event Specialist is an expert at organizing and executing Kaizen Events to deliver tangible results.
• They identify inefficiencies in processes and lead teams to implement solutions during a Kaizen Event.
• They foster a culture of continuous improvement by inspiring and coaching teams to embrace Kaizen Events as a transformative tool.
• They are recognized at all organizational levels for their ability to solve problems quickly and effectively.
• By driving Kaizen Events, they achieve cost savings, improve team productivity, and enhance customer satisfaction.

TARGET

• Service Industry Professionals
• Team Leaders and Managers
• Beginners in Process Improvement
• Customer Service and Operations Specialists
• Professionals Seeking Certification

SECTOR

• Service Industry (e.g., hospitality, retail, healthcare, customer support)

AREA

• Process Improvement
• Operational Efficiency
• Continuous Improvement
• Team Collaboration
• Customer Satisfaction

LEARNING OUTCOMES

• Master the step-by-step process of organizing and facilitating Kaizen Events for impactful improvements.
• Apply practical tools like 5 Whys, Fishbone Diagrams, and DOWNTIME during a Kaizen Event to uncover root causes and streamline processes.
• Empower teams to collaborate effectively, identify improvement opportunities, and sustain the results of your Kaizen Event.
• Become a Certified Kaizen Event Specialist while earning CPD, PDU, and PDC credits to advance your career.
• Use Kaizen Events to reduce waste, enhance efficiency, and drive continuous improvement in any organization.

LEARNING CONTENT

• Course Introduction
• Introduction to Kaizen
• Introduction to Kaizen Event
• Preparing for a Kaizen Event
• Conducting the Kaizen Event
• Implementation Strategies
• Post-Event Activities
• Course Conclusion
• AIGPE's Kaizen Event Specialist Certification Exam

APPROACH/

METHOD

Online

DURATION

3 hours on-demand video

ASSESSMENT

-

CERTIFICATION

Yes

COST

€39.99

Contact Provider

https://www.udemy.com/user/group-pro-advanced-innovation-excellence/

DATE

Always available

LOCATION

Online

WEBSITE

https://www.udemy.com/course/kaizen_event_specialist/?couponCode=LETSLEARNNOW#instructor-1

PROVIDER

Udemy

DESCRIPTION

This is a comprehensive tutorial for product managers and product designers who are interested in leveraging AI to create better product strategies, streamline workflows, and accelerate product development. This course will give you a whole new perspective about the future of product management. You'll discover how AI can revolutionize product ideation, automate the creation of detailed product requirements, assist in mapping customer journeys, and even generate prototypes in less than a minute. In the introduction session, you will learn about AI applications in product management, for example, how AI can be used for conducting market research, creating comprehensive product roadmap, and conducting user interviews.

Then, in the next section, you will find new product ideas with AI, you will discover innovative concepts by analyzing market trends and user needs using cutting edge AI tools. Afterwards, you will create product requirements documents using AI, you will learn how to use AI tools to automate and refine the drafting process, ensuring detailed and accurate documentation with minimal effort. Following this, you will develop strategic product roadmaps using AI, utilizing its capabilities to prioritize features and align your product strategy with business goals seamlessly.

Next, you will use AI for rapid prototyping, you will learn how to quickly generate and iterate design prototypes which will significantly speed up the development cycle and enhance your ability to test and validate web interfaces. Thereafter, you will define product visions, strategies, and key performance indicators using AI, you will learn how to establish clear, actionable goals and effectively measure performance. In the subsequent section, you will conduct market research using AI, you will learn how to use AI to perform in-depth analyses and accurately forecast industry trends which will provide you valuable insights.

Then, in the next section, you will conduct user interviews and analyze user feedback using AI, you will learn how to streamline data collection and gain deeper insights into user preferences and behaviors. Following this, you will create user personas and user stories using AI, you will learn how to generate detailed profiles and narratives to produce design that resonates with users. Lastly, you will map customer journeys using AI, by doing so, you will be able to identify critical touchpoints for improving customer satisfaction and engagement.

TARGET

• Product Managers: Professionals seeking to integrate AI into their product development workflows.
• Product Designers: Individuals interested in using AI for rapid prototyping and enhancing their design processes.
• Aspiring Product Professionals: Those looking to learn about the intersection of AI and product management/design.
• Business Analysts: Professionals wanting to leverage AI for market research and customer insights.

SECTOR

• Product Management
• Product Design
• Technology/Software Development
• Artificial Intelligence (AI)
• User Experience (UX) Design

AREA

• AI Applications in Product Management: Understanding how AI can enhance product ideation, market research, and user interviews.
• Product Requirements Documentation: Automating the creation of detailed product requirement documents using AI tools.
• Strategic Product Roadmapping: Developing and prioritizing product roadmaps aligned with business goals through AI.
• Rapid Prototyping: Using AI for quick generation and iteration of design prototypes.
• Defining Product Vision and KPIs: Establishing actionable goals and measuring performance with AI assistance.
• Market Research and Trend Analysis: Conducting in-depth analyses and forecasting industry trends using AI.
• User Feedback Analysis: Streamlining data collection and gaining insights into user preferences through AI tools.
• Creating User Personas and Stories: Generating detailed user profiles and narratives with AI.
• Customer Journey Mapping: Identifying critical touchpoints for improving customer satisfaction and engagement using AI.

LEARNING OUTCOMES

• Learn about AI applications in product management, such as creating PRD, conducting market research, conducting user interview, and product roadmapping
• Learn how to find new product ideas using Idea Note IO and Idea Map AI
• Learn how to create product requirements document using Product Monkey AI and Crowdbotics
• Learn how to create product roadmaps using My Map AI, Google Gemini, Jeda AI, and Roadmap SH
• Learn how to design mobile app user interface with UIzard and Visily AI
• Learn how to design web interface using Dora Run
• Learn how to define product visions, strategies, and key performance indicators using Jeda AI and Claude AI
• Learn how to conduct market research using Perplexity AI
• Learn how to create user survey with Hotjar
• Learn how to conduct user interview with Kraftful
• Learn how to analyze user feedback using Dovetail
• Learn how to create user persona using Founder Pal AI
• Learn how to write user story using ClickUp
• Learn how to map customer journey with ChatGPT and UXPressia

LEARNING CONTENT

• Introduction to the Course
• AI Tools & Resources
• AI Applications in Product Management
• Finding New Product Ideas with Idea Note IO & Idea Map AI
• Creating Product Requirements Document with Product Monkey AI
• Creating Product Requirements Document with Crowdbotics
• Creating Product Roadmap with My Map AI & Google Gemini
• Creating Product Roadmap with Jeda AI & Roadmap SH
• Designing Mobile App User Interface with Uizard
• Designing Mobile App User interface with Visily AI
• Designing Web Interface with Dora Run
• Defining Product Visions, Product Strategies, and KPIs with Jeda AI & Claude AI
• Conducting Market Research with Perplexity AI
• Creating User Survey with Hotjar
• Conducting User Interview with Kraftful
• Analyzing User Feedback with Dovetail
• Creating User Persona with Founder Pal AI & Writing User Story with ClickUp
• Creating Customer Journey Map with ChatGPT & UXPressia
• Conclusion & Summary

APPROACH/

METHOD

Online

DURATION

2 hours on-demand video

ASSESSMENT

-

CERTIFICATION

Yes

COST

€44.99

Contact Provider

https://id.linkedin.com/in/christ-raharja-8b39b1199

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/product-management-product-design-with-generative-ai/?couponCode=NEWYEARCAREER#instructor-1

PROVIDER

I4MS

DESCRIPTION

In this course you will learn how to use a number of key design methods to create meaningful products and services. This course is an introduction to the Delft Design Approach offering a model and a set of signature methods from Delft to teach you how to get from understanding the user in context to defining a meaningful design challenge and – in the end – deliver a great design! The course challenges you to experience the design process yourself and reflect on your work with the help of students and excellent teaching staff from Delft, and industrial experts.

TARGET

SECTOR

• Research & Development

AREA

-

LEARNING OUTCOMES

Using the Delft Design Approach, you will learn how to use a number of key design methods to create meaningful products and services. This course is an introduction to the Delft Design Approach offering a model and a set of signature methods from Delft to teach you how to get from understanding the user in context to defining a meaningful design challenge and – in the end – deliver a great design! The course challenges you to experience the design process yourself and reflect on your work with the help of students and excellent teaching staff from Delft, and industrial experts.

LEARNING CONTENT

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.  

You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. 

APPROACH/

METHOD

How to study users in their own environment

How to translate user insights into a design challenge that will spark creativity

How to create a meaningful design to meet your challenge

How to design and to structure your projects with the support of design thinking, a model and several methods

How to evaluate and present your design.

DURATION

+ 7 days

ASSESSMENT

-

CERTIFICATION

-

COST

Free | Earn certificate for $79

Contact Provider

m.a.j.p.m.vanbuul@tudelft.nl

DATE

2020 - always available

LOCATION

Online

WEBSITE

https://i4ms.eu/trainings/product-design-the-delft-design-approach/

PROVIDER

Udemy

DESCRIPTION

Unlock the power of Digital Twins in Industry 4.0.

This course introduces you to Digital Twins, their key concepts, and real-world applications. Learn how these digital replicas are revolutionizing industries by optimizing operations and driving innovation.

Key Benefits:

• Gain an in-depth understanding of Digital Twin concepts.
• Learn how to leverage Digital Twin technology to optimize operations and drive innovation.
• Explore real-world applications of digital twins across various industries.

Ideal for:

• This course is perfect for professionals in manufacturing, engineering, and IT, as well as students looking to advance their knowledge of Industry 4.0 and Digital Twin technology.
• This course provides a comprehensive overview of digital twins and their transformative role in Industry 4.0. Starting with an introduction to key Industry 4.0 technologies, this course will dive into the core concepts of digital twins, their benefits, and how they are leveraged across various industries.
• Participants will gain insights into the importance of digital twins in driving innovation, operational efficiency, and predictive maintenance.
• Through real-world examples and hands-on learning, students will be equipped with the knowledge and tools to implement digital twin technologies in manufacturing, healthcare, and beyond.

TARGET

• Professionals in manufacturing
• Engineering students
• Individuals interested in Digital Twin technology
• Individuals interested in Industry 4.0/Digital Manufacturing

SECTOR

• Manufacturing
• Engineering
• Information Technology (IT)
• Healthcare

AREA

• Digital Twin technology
• Industry 4.0
• Operational efficiency
• Predictive maintenance
• Innovation in various industries

LEARNING OUTCOMES

• Digital Twin concepts and evolution
• Practical industry applications
• Strategies for optimization and innovation
• Industry 4.0 and Digital Manufacturing
• Professionals in Manufacturing
• Engineering Students
• Anyone Interested in Digital Twin technology
• Anyone Interested in Industry 4.0/Digital Manufacturing

LEARNING CONTENT

• Industry 4.0 and Introduction
• Basics of Digital Twins
• Digital Twin Architecture
• Modeling and Simulation
• Data Analytics and AI in Digital Twins
• Implementation of Digital Twins
• Digital Twin in Product Lifecycle Management (PLM)
• Digital Twin in Smart Manufacturing
• Maintenance and Optimization
• New Developments

APPROACH/

METHOD

Online

DURATION

17.5 hours on-demand video

ASSESSMENT

No

CERTIFICATION

Yes

COST

€44.99

Contact Provider

https://gaugehow.com/

https://twitter.com/gaugehow

https://www.facebook.com/gaugehow

https://linkedin.com/gaugehow

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/digital-twins/?couponCode=NEWYEARCAREER#instructor-1

PROVIDER

Alison

DESCRIPTION

This free online course will introduce you to the concept of battery technologies and everything you need to know about these power sources. Have you ever wondered how a battery functions or what the making and construction of it entails? This course will teach you about the different essential components and models. You will learn about other principles and laws that apply to battery systems, such as Ohm's law and Faraday's first and second laws. You will acquire rudimentary knowledge of battery construction and other defining elements of batteries. Learn about the electrochemistry of batteries as well. We will discuss the various types and uses of batteries and cells, such as lead-acid batteries, alkaline batteries, Ni-CD batteries, lithium batteries, along with primary and secondary cells. We'll also explain concepts like dry cells, galvanic cells, Daniel cells, and half-cell potential.

Furthermore, this course delves into the different topics as it relates to battery performances. Do you know what alternative power is? Do you know the importance of batteries or care to find out how to maintain your batteries for effective performances? Find the answers to these questions as you progress in the course. You will learn about the importance of batteries, discover how better you can handle your batteries or cells for optimum results. We'll also explain the safety precautions required and a battery's lifecycle. Some of the key terms you will learn about are electromotive force, fuel cells, and humidifiers. We will explain how to watch out for warning signs of battery failure and the reasons for short circuits. Safety equipment and troubleshooting a battery are areas that are also adequately discussed. Next, we will introduce you to battery efficiencies, capacity ratings, as well as the concept of cells in series and in parallels.

Batteries are a significant source of power in today's world. Often, when you are required to power up a device or machinery, you rely on the capabilities of batteries. Understanding the underlying mechanism and related technologies of batteries is also an essential aspect of its use. This concise course on battery technologies will empower you to understand the mechanism of a battery and its related technologies. We also discuss the importance of a battery and the reasons why you need to adhere to all battery safety precautions. You will also learn what you need to do to avoid battery failure. This course especially highlights battery supplies in automobiles. Get abreast with all the important information you need to know about battery technologies, performances and maintenance. This course will be of great benefit to those studying and working in the electrical field.

TARGET

• Electrical engineering students or graduates
• Technicians and engineers working with electrical systems
• Professionals in the automotive industry
• Individuals interested in renewable energy and alternative power sources
• Hobbyists and DIY enthusiasts exploring battery technologies

SECTOR

• Electrical Engineering
• Automotive Industry
• Renewable Energy
• Consumer Electronics
• Industrial Manufacturing

AREA

• Electrochemistry
• Battery Design and Construction
• Power Systems and Management
• Safety and Maintenance of Electrical Systems
• Research and Development in Battery Technologies

LEARNING OUTCOMES

• Distinguish between reversible and irreversible cells
• Identify oxidising and reducing agents
• Explain the standard Emf of a cell
• Describe the relationship between Emf and free energy
• Discuss internal resistance and cells in series
• Explain metal and hydrogen displacement
• Describe the life cycle of a battery
• Discuss the working principle of dry cells
• Explain solar batteries and their importance
• Outline the procedures for battery maintenance

LEARNING CONTENT

• Module 1: Batteries and Electrochemicals

This module explains what batteries and electrochemical are, their constructions and their workings. In this module, you will see the different types of batteries, their compositions, and the various ways in which these batteries work

• Module 2: Single Electrode Potential

This module explains what single electrode potential is all about, its constructions and workings. In this module, you will learn about terms such as Half-cell potential, thermodynamics of a reversible cell.

• Module 3: Battery Performance and Maintenance

In this module: Battery Performance and Maintenance, you will be introduced to topics such as primary and secondary cells. You will learn about Ni-CD batteries, solar batteries and how they work. The module will also discuss fuel cells in batteries and safety percautions

• Module 4: Course assessment

APPROACH/

METHOD

Online

DURATION

1.5-3 Hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://alison.com/course-creators/adu

DATE

Always available

LOCATION

Online

WEBSITE

https://alison.com/course/battery-technologies

PROVIDER

Coursera

DESCRIPTION

Humans are the only living creatures with the ability to think about and make plans for the long- term future. Even so, our brains don’t always make it easy. Over the past decade, scientists have discovered a number of neurological “road blocks” to effective futures thinking. These glitches in the brain make it harder for us to accurately predict how we’ll feel and what we’re likely to do, when a particular future arrives. They lead us to make faulty assumptions about which futures are likely or unlikely to happen. And they convince us we have less power to shape and influence the future than we actually do – leaving us stuck in the present.

In this course, you’ll learn how to overcome these obstacles so you can think about the future more strategically and creatively. You’ll practice simulation techniques for “unsticking” the mind when it comes to seeing what’s possible in the future and accepting how things could be different. You’ll also learn how to lead others through “first-person future” simulations, which have been shown in scientific studies to improve strategy and increase motivation and hope for the future. Along the way, leading futurists from the Institute from the Future will share some of their most challenging forecasts to help you stretch your imagination and improve your simulation skills.

This course will ensure that you can put all of your new forecasting skills to the best possible use, by helping you nudge your brain toward more effective ways of simulating and preparing for the future.

TARGET

• Individuals interested in future planning and strategic thinking
• Leaders and managers in various sectors
• Researchers and futurists
• Educators and trainers

SECTOR

• Education and Training
• Business and Management
• Research and Development
• Nonprofit and Social Services

AREA

• Futures Studies and Strategic Planning
• Creativity and Innovation
• Neuroscience and Psychology of Decision-Making
• Leadership Development and Motivation Strategies

LEARNING OUTCOMES

• Foresight
• Creativity
• Simulation
• Innovation
• Strategic Planning
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• Introduction to Mental Simulation

Module 1

• First-Person Futures

Module 2

• Alternative Futures

Module 3

• Advanced Simulation Topics

Module 4

APPROACH/

METHOD

Online

DURATION

13h

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://janemcgonigal.com/

https://www.twitter.com/avantgame

DATE

Start feb 2 2025/ always available

LOCATION

Online

WEBSITE

www.coursera.org/learn/simulation-skills

PROVIDER

I4MS

DESCRIPTION

The APM lets you model a given manufacturing area. This training shows you how to create a physical area, implant objects, add a rack, equipment, workstation and/or production line to the map.

TARGET

• Plant Manager
• Engineers
• Operators

SECTOR

• Automotive
• Aerospace
• Agriculture
• Chemical
• Computer - Software
• Construction
• Defense
• Education
• Research & Development
• Energy

AREA

SM/DT, Robotics, H-RI

LEARNING OUTCOMES

Create a 3D model of your factory floor

LEARNING CONTENT

• Create a physical areaa
• Implant objects on the physical area
• Create a physical area with a map
• Add a new rack to the catalogue
• Add a new rack to the catalogue with step
• Add new equipment to the catalogue
• Add a new workstation to the catalogue
• Add a new production line to the catalogue

APPROACH/

METHOD

Online

DURATION

1h to 4h

ASSESSMENT

-

CERTIFICATION

-

COST

Free

Contact Provider

pcervera@mobileworldcapital.com

DATE

2020 - always available

LOCATION

Online

WEBSITE

https://i4ms.eu/trainings/advanced-plant-modelling-apm-3d-digital-twin/

PROVIDER

Coursera

DESCRIPTION

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone-especially your non-technical colleagues--to take.

In this course, you will learn:

• The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
• What AI realistically can--and cannot--do
• How to spot opportunities to apply AI to problems in your own organization
• What it feels like to build machine learning and data science projects
• How to work with an AI team and build an AI strategy in your company
• How to navigate ethical and societal discussions surrounding AI

Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

TARGET

• Non-technical colleagues
• Engineers (for business insight

SECTOR

• Business Management
• Technology

AREA

• Artificial Intelligence Awareness
• AI Strategy Development
• Ethical AI Practices
• Machine Learning Fundamentals

LEARNING OUTCOMES

• Workflow of Machine Learning projects
• AI terminology
• Workflow of Data Science projects
• AI strategy

LEARNING CONTENT

• What is AI?

Module 1

• Building Al Projects

Module 2

• Building Al In Your Company

Module 3

• Al and Society

Module 4

APPROACH/

METHOD

Online

DURATION

6 hours

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.andrewng.org/

https://www.facebook.com/andrew.ng.96

https://www.twitter.com/AndrewYNg

DATE

Start feb 1 2025 / Flexible schedule

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/ai-for-everyone?

PROVIDER

Udemy

DESCRIPTION

AI Fundamentals for Business Professionals: Your Journey to Become a Future-Ready Leader

Imagine standing at the helm of your organization, navigating a fast-evolving business landscape where technology drives decisions, shapes strategies, and creates opportunities. You’re the decision-maker, the innovator, the one who understands not just the “what” of Artificial Intelligence (AI), but the “how” and “why” behind its transformative power.

This is your story—a story of growth, empowerment, and transformation. In AI Fundamentals for Business Professionals, you’re not just learning about AI; you’re stepping into a leadership role where you’ll harness the power of technology to make smarter decisions and lead your organization into the future.

TARGET

• Business Leaders and Managers
• Aspiring Leaders
• Business Analysts and Strategists
• Non-Technical Professionals

SECTOR

• Business Management
• Technology and Innovation
• Strategy Development

AREA

• Artificial Intelligence Fundamentals
• Decision-Making and Strategy
• Operational Optimization and Efficiency
• Ethical AI Practices

LEARNING OUTCOMES

• Understand the Core Concepts of AI: Learners will grasp foundational AI concepts, including machine learning, neural networks, and natural language processing,
• Identify AI Applications for Business: Participants will be able to recognize practical AI use cases in various industries and assess their potential to drive business value
• Analyze the Impact of AI on Strategy: Learners will develop skills to evaluate how AI can influence organizational goals, improve efficiency, and create competitive advantages
• Build Confidence in AI Discussions: Students will acquire the knowledge needed to confidently discuss AI opportunities and limitations with colleagues, stakeholders, and decision-makers

LEARNING CONTENT

• 126 sections
• 638 lectures
• 32h 9m total length

APPROACH/

METHOD

Online

DURATION

32 hours on-demand video

ASSESSMENT

-

CERTIFICATION

Yes

COST

€44.99

Contact Provider

https://twitter.com/TheDeltaMachine

https://linkedin.com/irlonterblanche

https://www.youtube.com/@siotechworld

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/artificial-intelligence-and-business-strategy/?couponCode=LETSLEARNNOW#instructor-2

PROVIDER

Coursera

DESCRIPTION

The Generative AI Leadership & Strategy Specialization on Coursera is an innovative program designed to empower leaders with the skills needed to harness the full potential of large language models like ChatGPT, revolutionizing leadership strategies and productivity in business and personal life. Throughout the course, participants will learn to pen effective prompts to command these AI systems, unlocking emergent intelligence for remarkable problem-solving capabilities. This training covers a vast spectrum of practical applications, from creating flawless agendas to honing proposal writing, engaging in strategic brainstorming, and navigating intricate HR dynamics. Crucially, the course demystifies the underlying technology, positions Generative AI as an indispensable cognitive enhancement tool, and addresses the integration of this technology within teams, minimizing anxiety around its adoption. Whether it's drafting communication materials, orchestrating leadership transitions, or augmenting decision-making processes, this gateways offers the keys to mastering Generative AI, equipping leaders to outpace the transformative impact of the internet with advanced prompt engineering skills for a vast array of tasks in their careers and beyond. With only basic computer skills as a prerequisite, this comprehensive journey accelerates participants from basic command formulation to sophisticated problem-solving prompt development, propelling leadership into an AI-augmented future.

TARGET

• Business Leaders
• Executives and Managers
• Team Leaders
• HR Professionals
• Entrepreneurs
• Professionals in strategic roles
• Individuals seeking personal development in leadership and AI

SECTOR

• Business and Management
• Human Resources
• Technology and Innovation
• Education and Training
• Consulting

AREA

• Generative AI Applications
• Leadership Strategy and Development
• Productivity Enhancement
• Communication Skills
• Decision-Making Processes
• Integration of AI in Team Dynamics

LEARNING OUTCOMES

• Problem Solving
• Risk Management
• Creativity
• Leadership and Management
• Learn in-demand skills from university and industry experts
• Master a subject or tool with hands-on projects
• Develop a deep understanding of key concepts
• Earn a career certificate from Vanderbilt University

LEARNING CONTENT

• Generative AI for Leaders

Course 1

• Prompt Engineering for ChatGPT

Course 2

• Trustworthy Generative AI

Course 3

APPROACH/

METHOD

Online

DURATION

1 month/at 10 hours a week

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

http://www.magnum.io/

https://www.linkedin.com/in/jules-white-5717655/

http://www.vanderbilt.edu/

DATE

Flexible schedule/Learn at your own pace

LOCATION

Online

WEBSITE

https://www.coursera.org/specializations/generative-ai-leadership-strategy

PROVIDER

Alison

DESCRIPTION

Predictive analytics has become a cornerstone skill in modern business and technology, transforming how organizations approach decision-making and strategy. This course builds upon the prerequisite course Computer Vision Essentials, ensuring learners have a strong foundation in data science and computer vision concepts before progressing to advanced predictive analytics. By analyzing historical data to predict future outcomes, predictive analytics enables organizations to anticipate challenges, identify opportunities, and make data-driven decisions with unprecedented accuracy. Whether it’s predicting customer behavior, optimizing supply chains, or improving operational efficiency, this skill empowers professionals to drive innovation and maintain a competitive edge.

This course offers an in-depth exploration of predictive analytics, focusing on methodologies, techniques, and real-world applications. Participants will learn how to transform raw data into actionable insights that directly impact decision-making. From data collection and preprocessing to feature engineering, model building, and evaluation, the course provides a structured pathway to mastering predictive modeling. Along the way, learners will gain insights into various predictive models, including linear regression, decision trees, neural networks, and ensemble methods, ensuring a comprehensive understanding of the field. Practical applications are emphasized throughout, with a focus on industries like finance, healthcare, marketing, and operations, ensuring learners are ready to apply their knowledge in diverse contexts. The course also highlights the essential tools and techniques that form the backbone of predictive analytics. Topics include data collection and preprocessing, where learners will explore methods for cleaning and organizing data, ensuring accuracy and consistency. Feature selection and engineering will help participants understand how to identify the most relevant data points for analysis, optimizing model performance. Advanced topics in model building and evaluation will provide learners with the expertise to construct robust models and validate their effectiveness using real-world datasets. To deepen practical understanding, hands-on case studies will guide learners through applying these techniques to solve real-world business problems. This approach not only enhances analytical thinking but also ensures learners can effectively validate and deploy predictive models in various professional scenarios.

The course is ideal for a diverse audience, catering to both beginners and seasoned professionals. Whether you’re a student exploring data science, a business professional seeking to make data-driven decisions, or an analytics expert aiming to enhance your predictive modeling skills, this course offers valuable insights. It is especially beneficial for researchers, aspiring data scientists, and data enthusiasts eager to understand how predictive analytics can shape the future of industries. With its comprehensive approach, emphasis on practical applications, and alignment with industry needs, this course is more than just an introduction—it’s a transformative journey into the world of predictive analytics. Enroll today to unlock the power of data and take the next step in your professional growth.

TARGET

• Students exploring data science
• Business professionals making data-driven decisions
• Analytics experts enhancing predictive modeling skills
• Researchers and aspiring data scientists
• Data enthusiasts

SECTOR

• Business and Technology
• Finance
• Healthcare
• Marketing
• Operations

AREA

• Predictive Analytics
• Data Science
• Decision-Making Strategies
• Model Building and Evaluation
• Data Collection and Preprocessing

LEARNING OUTCOMES

• Describe the core principles and techniques of predictive analytics
• Create predictive models to forecast outcomes
• List the key elements of building predictive models
• Evaluate and refine predictive models for enhanced accuracy, interpretability, and reliability
• Apply predictive analytics techniques to optimize operations and improve organizational efficiency
• Analyse real-world case studies to understand the practical application of predictive analytics in diverse industries
• Recall the impact of predictive analytics on key business functions, such as supply chain and customer retention
• Outline strategies for leveraging predictive analytics to transform and innovate business processes
• Review the diverse applications of predictive analytics across different business functions
• Discuss the role of predictive analytics in modern business decision-making
• Identify effective methods for gathering and preparing data for predictive analytics
• Explain the ability of predictive models to support decision-making in various domains

LEARNING CONTENT

• Module 1: Understanding Predictive Analytics

This module provides a comprehensive introduction to the core concepts, methods, and practical applications of predictive analytics. You’ll gain the skills to transform raw data into meaningful insights, develop predictive models, and identify critical trends that inform predictive strategies and enable actionable decision-making

• Module 2: Course assessment

APPROACH/

METHOD

Online

DURATION

3-4 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://alison.com/course-creators/youaccel-training

DATE

Always avilibale

LOCATION

Online

WEBSITE

https://alison.com/course/introduction-to-predictive-analytics

PROVIDER

Coursera

DESCRIPTION

In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.

You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development.

TARGET

• Beginners in Programming
• Aspiring Back-End Developers
• Database Engineering Students
• Job Seekers looking to enter tech
• Students & Graduates in STEM fields
• Professionals seeking to upskill

SECTOR

• Information Technology
• Software Development
• Back-End Development
• Database Management
• Education and Training

AREA

• Python Programming
• Object-Oriented Programming
• Error Handling and Exceptions
• Unit Testing and Test-Driven Development
• Data Types, Variables, and Control Flow
• Coding and Problem-Solving Skills

LEARNING OUTCOMES

• Foundational programming skills with basic Python Syntax.
• How to use objects, classes and methods.
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate from Meta

LEARNING CONTENT

• Module 1: Getting started with paython

Get started with the Python programming language and associated foundational concepts.

• Module 2: Basic programming with paython

Learn basic Python syntax, to use control flow and loops and work with functions and data structures. You will also learn how to recognise possible errors, their causes and how to handle them.

• Module 3: Programming paradigms

Learn about the paradigms of procedural programming and the associated logical concepts. You'll explore functional and object-oriented programming, and get an introduction to algorithms.

• Module 4: Modules, packages,libraries and tools

Supercharge your coding environment with popular modules libraries and tools for Python. You'll also learn about the different types of testing and how to write a test.

• Module 5: End-of-course Graded Assessment

Practice and reflect on the skills you learned in this course.

APPROACH/

METHOD

Online

DURATION

Approx. 44 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.coursera.org/instructor/~30575670

DATE

Start Jan 6 2025 / Flexible schedule

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/programming-in-python#modules/

PROVIDER

Coursera

DESCRIPTION

This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. By the end of the course, you will be able to:

• Understand the concepts, processes, and applications of predictive modeling.
• Understand the structure of and intuition behind linear regression models.
• Be able to fit simple and multiple linear regression models to data, interpret the results, evaluate the goodness of fit, and use fitted models to make predictions.
• Understand the problem of overfitting and underfitting and be able to conduct simple model selection.
• Understand the concepts, processes, and applications of time series forecasting as a special type of predictive modeling.
• Be able to fit several time-series-forecasting models (e.g., exponential smoothing and Holt-Winter’s method) in Excel, evaluate the goodness of fit, and use fitted models to make forecasts.
• Understand different types of data and how they may be used in predictive models.
• Use Excel to prepare data for predictive modeling, including exploring data patterns, transforming data, and dealing with missing values.

This is an introductory course to predictive modeling. The course provides a combination of conceptual and hands-on learning. During the course, we will provide you opportunities to practice predictive modeling techniques on real-world datasets using Excel.

To succeed in this course, you should know basic math (the concept of functions, variables, and basic math notations such as summation and indices) and basic statistics (correlation, sample mean, standard deviation, and variance). This course does not require a background in programming, but you should be familiar with basic Excel operations (e.g., basic formulas and charting). For the best experience, you should have a recent version of Microsoft Excel installed on your computer (e.g., Excel 2013, 2016, 2019, or Office 365).

TARGET

• Beginners in data analytics
• Business professionals seeking data-driven decision-making skills
• Students in analytics or related fields
• Individuals interested in predictive modeling techniques

SECTOR

• Education and Training
• Business Analytics
• Data Science
• Finance and Marketing

AREA

• Predictive Modeling
• Linear Regression
• Time Series Forecasting
• Data Preparation and Analysis using Excel

LEARNING OUTCOMES

• Predictive Analytics
• Data Preparation
• Time Series Forecasting
• Linear Regression
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• Week/module 1: simple linear regression

This module provides a brief overview of predictive modeling problems, illustrating their broad applications. It then focuses on the simplest form of predictive models: simple linear regression. The module follows a graphical approach to illustrate the structure of a simple linear regression model, the intuition for Ordinary Least Squares, and related concepts. Finally, we demonstrate how to use various Excel tools, including trendlines, the Regression tool, and the Trend() function, to fit a simple linear regression model and use it to form predictions

• Week/module 2: multiple linear regression

Building on Week 1, in this week we introduce multiple linear regression and its broad applications. Then, we cover how to fit a multiple linear regression model using Excel’s Regression tool and Trend() function and use the resulting model for predictions. The module further discusses the overfitting/underfitting problems and the basic principles of a good regression model. The module also introduces one approach for selecting a good model: backward elimination that can be implemented in Excel.

• Week/module 3: data preparation

In this week, we will learn how to prepare a dataset for predictive modeling and introduce Excel tools that can be leveraged to fulfill this goal. We will discuss different types of variables and how categorical, string, and datetime values may be leveraged in predictive modeling. Furthermore, we will discuss the intuition for including high-order and interaction variables in regression models, the issue of multicollinearity, and how to handle missing values. We will also introduce several handy Excel tools for data handling and exploration, including Pivot Table, IF() function, VLOOKUP function, and relative reference.

• Week/module 4: time series forecasting

This module focuses on a special subset of predictive modeling: time series forecasting. We discuss the nature of time-series data and the structure of time series forecasting problems. We then introduce a host of time series models for stationary data and data with trends and seasonality, with a focus on techniques that are easily implemented within Excel, including moving average, exponential smoothing, double moving average, Holt’s method, and Holt-Winters’ method. The module also covers linear-regression-based forecasting and a composite forecasting technique for boosting accuracy.

APPROACH/

METHOD

Online

DURATION

12 hours to complete/3 weeks at 4 hours a week

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://carlsonschool.umn.edu/faculty/de-liu

DATE

Flexible schedule

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/introduction-to-predictive-modeling#outcomes

PROVIDER

Coursera

DESCRIPTION

• Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
• Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
• Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
• Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

TARGET

• Directors
• Manager
• Engineers
• Student

SECTOR

• Automotive
• Aerospace
• Agriculture
• Chemical
• Computer - Software
• Construction
• Education
• Research & Development
• Energy

AREA

• Python Programming
• Dashboards and Charts
• dash
• Data Visualization
• Matplotlib

LEARNING OUTCOMES

This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions.

LEARNING CONTENT

5 Modules

APPROACH/

METHOD

Online

DURATION

About 20 hours

ASSESSMENT

12 assessments during 5 modules

CERTIFICATION

Earn a shareable career certificate

COST

When you enrol in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for Free. With certificate is 36 Euro/Month

Contact Provider

Instructor : Saishruthi Swaminathan

Data Scientist and Developer Advocate

IBM

DATE

Always available

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/python-for-data-visualization

PROVIDER

Coursera

DESCRIPTION

This course looks at where important materials in products we use every day come from and how these materials can be used more efficiently, longer, and in closed loops. This is the aim of the Circular Economy, but it doesn’t happen on its own. It is the result of choices and strategies by suppliers, designers, businesses, policymakers and all of us as consumers.

In addition to providing many cases of managing materials for sustainability, the course also teaches skills and tools for analyzing circular business models and promotes development of your own ideas to become more involved in the transition to a Circular Economy.

You will learn from expert researchers and practitioners from around Europe as they explain core elements and challenges in the transition to a circular economy over the course of 5 modules:

• Module 1: Materials. This module explores where materials come from, and builds a rationale for why society needs more circularity.
• Module 2: Circular Business Models. In this module circular business models are explored in-depth and a range of ways for business to create economic and social value are discussed.
• Module 3: Circular Design, Innovation and Assessment. This module presents topics like functional materials and eco-design as well as methods to assess environmental impacts.
• Module 4: Policies and Networks. This module explores the role of governments and networks and how policies and sharing best practices can enable the circular economy.
• Module 5: Circular Societies. This module examines new norms, forms of engagement, social systems, and institutions, needed by the circular economy and how we, as individuals, can help society become more circular.

TARGET

• Students and Graduates in Environmental Science, Engineering, Business, and Design
• Professionals in Sustainability, Engineering, and Environmental Management
• Business Owners and Entrepreneurs interested in sustainable practices
• Policymakers and Government Officials focused on environmental policies
• Academic Researchers studying circular economy and sustainability
• Consultants in sustainability and resource efficiency

SECTOR

• Education and Academia
• Manufacturing
• Environmental Services
• Retail and Consumer Goods
• Waste Management and Recycling
• Government and Public Policy
• Research and Development
• Construction and Infrastructure

AREA

• Circular Economy Principles
• Sustainable Materials Management
• Business Model Innovation
• Eco-Design and Assessment
• Policy Development for Sustainability
• Community and Consumer Engagement
• Strategic Networking for Circular Initiatives

LEARNING OUTCOMES

• Environmental Policy
• Policy Analysis
• Business Model
• Business Analysis
• Material Design

LEARNING CONTENT

• Module 1: Materials
• Module 2: Circular Business Models
• Module 3: Circular Design, Innovation and Assessment
• Module 4: Policies and Networks
• Module 5: Circular Societies

APPROACH/

METHOD

Online

DURATION

19 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.coursera.org/learn/circular-economy#reviews

DATE

Start 14 jan 2025/Always availible

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/circular-economy#reviews

PROVIDER

Udemy

DESCRIPTION

Over 4,000 students who have taken this course have gotten jobs as Product Managers! Students now work at companies like Google, Zynga, Airbnb, Wal-Mart, Dell, Booking. com, Jet. com, Vodafone, HomeAway, Boeing, Freelancer. com, Wayfair, & more! The most updated and complete Product Management course on Udemy! You'll learn the skills that make up the entire Product Management job and process: from ideation to market research, to UX wireframing to prototyping, technology, metrics, and finally to building the product with user stories, project management, scoping, and leadership. We even have interviews with real life PMs, Q&A sessions with students, and a comprehensive guide to preparing and interviewing for a Product Management job.

Right now, there are over 3,000+ job listings worldwide that are looking for Product Managers, that pay on average $100,000 / year.

The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success.

But how exactly do you get into the field? There aren't any degrees in Product Management & there are no certifications. Most Product Managers get into the field through luck or connections. That ends here - we'll get you up to date on ALL the skills you need to learn Product Management AND have the best chance at getting the job you want. There's no more ambiguity to it. We'll show you what you need to know and what you have to do - all taught from a Product Management insider.

Students aren't required to know anything beforehand - we'll teach you the fundamentals, how to apply them, how to develop into an advanced product manager, and finally how to maximize your chances to get a job as a Product Manager.

TARGET

• Aspiring Product Managers
• Recent graduates
• Professionals looking to shift careers
• Individuals with a general interest in product management

SECTOR

• Technology
• E-commerce
• Consulting
• Retail

AREA

• Product Development
• Project Management
• User Experience (UX) Design
• Market Research and Analysis

LEARNING OUTCOMES

• Understand the varying role of a Product Manager through different types and sizes of companies
• Decide which type of Product Manager best fits one's goals and personality
• Understand the Product Lifecycle and how it applies to every product
• Understand the modern Product Development Process that both Fortune 500s and Startups adhere to
• Know how to identify ideas worth pursuing and dedicating resources to
• Understand how to get at the root of customer pain points
• Understand and communicate customer pain by type and frequency
• Assess the core problem of a product
• Find and compare competitors and competing products
• Differentiate between Direct, Indirect, Substitute, and Potential competitors
• Understand the process of Customer Development and how it relates to being a Product Manager
• How to find potential interviewees for product interviews, user tests, and exploratory interviews
• How to structure and run a customer interview
• How to model interview questions correctly while avoiding bias
• Navigate the four different types of customer interviews
• Find potential interviewees both internally and externally
• Write emails that will get users and potential customers to respond
• Build user personas based on both qualitative and quantitative data
• Understand the difference between a wireframe, a mockup, and a prototype
• Sketch out a wireframe with just a pen and paper
• Use Balsamiq to create wireframes at an intermediate level
• Use a sketch system called POP for digitizing product sketches
• Create specs for epics and user stories
• Properly apply acceptance criteria
• Run a variety of MVP experiments, such as pitch experiments, redirects, shadow buttons, and more
• Correctly evaluate which product metrics to track and which to ignore
• Apply the AARRR framework to your product
• Apply the HEART framework to your product
• Track your metrics using a variety of software
• Create a product and feature roadmap
• Create a product backlog and properly prioritize features
• Calculate team velocity and build estimations for product delivery
• Understand the difference between Agile and Waterfall development
• Understand the difference between two popular Agile frames: Scrum and Kanban
• Learn software development concepts like APIs, mobile development, Front End, Back End, MySQL, programming frameworks, and more
• Communicate effectively with all the stakeholders of a product
• Communicate effectively with engineers in a way they will appreciate and understand
• Communicate effectively with designers by focusing on the things they care about most
• Communicate effectively with executives and higher-ups
• Understand the role of technology in modern Startups and Fortune 500s
• Understand the basics of "The Cloud" and Servers vs. Clients
• Understand the basics of front-end vs. back-end technology, tech stacks, and how they integrate together
• Understand the basics of APIs, what they do, what they look like, and how your team might use them
• Understand how to obtain relevant experience to set up for a transition to Product Management
• Build a portfolio that will assist in a hiring application
• How to self-brand online and build a following pre-hire
• What to look for in Product Management jobs and what to ignore
• How to apply insider tips and tricks to getting hired as a Product Manager
• Craft a resume that appeals to a hiring manager for Product Management placement
• Ace the Product Manager interview
• Excel beyond getting hired

LEARNING CONTENT

• Before Starting the Course
• Introduction to Product Management
• Introduction to Product Development
• Ideas and User Needs
• Competitive and Market Analysis
• Customer Development
• Designing and Running Experiments
• Conceptualizing the Solution
• Metrics for Product Managers - Defining Success and Measuring Results
• Building the Product - Project Management for PMs
• Working with People and Stakeholders
• Technology for Product Managers
• What You Should Do to Prepare Yourself for the Job
• How to Look for a Job in Product Management
• How to Get the Job in Product Management
• After You've Got the Job
• Extended Interviews with Current Product Managers
• Bonus Section

APPROACH/

METHOD

Online

DURATION

13 hours on-demand video

ASSESSMENT

-

CERTIFICATION

Yes

COST

€79.99

Contact Provider

http://www.colemercer.com/

https://linkedin.com/in/colemercer

http://www.evankimbrell.com/

https://linkedin.com/in/evankimbrell

DATE

Always available

LOCATION

Online

WEBSITE

https://www.udemy.com/course/become-a-product-manager-learn-the-skills-get-a-job/?couponCode=LETSLEARNNOW#instructor-1

PROVIDER

Coursera

DESCRIPTION

In the course you will not only learn about the role of business in sustainability, but also your own personal contribution. By the end of the course, your understanding of sustainability and business's relationship with society will have increased considerably. You will develop new skills in research and analysis and will have lots of new ideas to take away with you and apply in your own organisation and your own working life.

TARGET

• Directors
• Manager
• Engineers
• Students

SECTOR

• Automotive
• Aerospace
• Agriculture
• Chemical
• Computer - Software
• Manufacture
• Education
• Research & Development
• Energy

AREA

The specific topics we will cover include: Paris Climate Accord, Carbon Footprint, the circular economy, reverse logistics, recycling strategies, right to repair, Corporate Social Responsibility, Bottom of the Pyramid and developing economies, and fair trade business models.

LEARNING OUTCOMES

Sustainability and the circular economy, recycling and reverse logistics, corporate social responsibility.

LEARNING CONTENT

3 modules

APPROACH/

METHOD

Online

DURATION

14 hours

ASSESSMENT

2 quizzes

CERTIFICATION

Earn a career certificate from University of London

COST

When you enrol in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for Free. With certificate is 36 Euro/Month

Contact Provider

Instructor : Alan Pilkington (Professor)

DATE

Always available

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/business-sustainability-circular-economy#modules

PROVIDER

Udemy

DESCRIPTION

Dive deep into the transformative processes of strategic planning and strategic thinking, designed to empower you to navigate and shape the future of organizations decisively. This course offers a thorough exploration of the core concepts and applications necessary for leading successful initiatives in a complex and rapidly evolving business environment.

TARGET

• Business Managers and Executives
• Business Consultants
• Entrepreneurs and Startup Founders
• Students of Business and Management
• Career Changers interested in strategy and business developmen

SECTOR

• Business Management
• Consulting
• Entrepreneurship
• Education and Training
• Corporate Strategy

AREA

• Strategic Planning
• Strategic Thinking
• Business Analysis Tools (SWOT, PESTEL, Porter’s Five Forces)
• Decision-Making Skills
• Organizational Goal Alignment
• Implementation and Monitoring of Strategic Plans

LEARNING OUTCOMES

• Learn To Transform Strategic Thoughts Into Actionable Plans With A Strategic Plan Template
• Acquire Skills To Analyze And Interpret Complex Business Environments Effectively
• Craft Compelling Vision And Mission Statements That Resonate And Guide Organizations
• Set Smart Objectives That Are Clear, Measurable, And Directly Achievable
• Develop Strategies That Align With Business Goals For Effective Implementation
• Master The Execution Of Strategic Plans With Detailed Action Steps And Resource Allocation
• Enhance Skills In Monitoring Strategic Outcomes And Adjusting Plans Dynamically
• Apply Strategic Thinking To Solve Real-World Business Challenges Efficiently

LEARNING CONTENT

• Welcome to Strategic Planning and Strategic Thinking
• Strategic Thinking
• Case Study and Analysis
• Practical Application: Creating your Strategic Plan
• Conclusion - Strategic Planning and Strategic Thinking

APPROACH/

METHOD

Online

DURATION

1.5 hours on-demand video

ASSESSMENT

No

CERTIFICATION

Yes

COST

€44.99

Contact Provider

https://www.instagram.com/softskillsuccess/

https://linkedin.com/in/salildhawan

https://www.youtube.com/https://www.youtube.com/channel/UCH-H7yPshokT1CGq9mLiddw

DATE

Full Lifetime Access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/strategic-planning-strategic-thinking/?couponCode=NEWYEARCAREER#instructor-1

PROVIDER

Udemy

DESCRIPTION

Unlock the power of Digital Twins in Industry 4.0.

This course introduces you to Digital Twins, their key concepts, and real-world applications. Learn how these digital replicas are revolutionizing industries by optimizing operations and driving innovation.

Key Benefits:

• Gain an in-depth understanding of Digital Twin concepts.
• Learn how to leverage Digital Twin technology to optimize operations and drive innovation.
• Explore real-world applications of digital twins across various industries.

Ideal for:

• This course is perfect for professionals in manufacturing, engineering, and IT, as well as students looking to advance their knowledge of Industry 4.0 and Digital Twin technology.
• This course provides a comprehensive overview of digital twins and their transformative role in Industry 4.0. Starting with an introduction to key Industry 4.0 technologies, this course will dive into the core concepts of digital twins, their benefits, and how they are leveraged across various industries.
• Participants will gain insights into the importance of digital twins in driving innovation, operational efficiency, and predictive maintenance.
• Through real-world examples and hands-on learning, students will be equipped with the knowledge and tools to implement digital twin technologies in manufacturing, healthcare, and beyond.

TARGET

• Professionals in manufacturing
• Engineering students
• Individuals interested in Digital Twin technology
• Individuals interested in Industry 4.0/Digital Manufacturing

SECTOR

• Manufacturing
• Engineering
• Information Technology (IT)
• Healthcare

AREA

• Digital Twin technology
• Industry 4.0
• Operational efficiency
• Predictive maintenance
• Innovation in various industries

LEARNING OUTCOMES

• Digital Twin concepts and evolution
• Practical industry applications
• Strategies for optimization and innovation
• Industry 4.0 and Digital Manufacturing
• Professionals in Manufacturing
• Engineering Students
• Anyone Interested in Digital Twin technology
• Anyone Interested in Industry 4.0/Digital Manufacturing

Learn in-demand skills from university and industry experts, master a subject or tool with hands-on projects, Develop a deep understanding of key concepts

LEARNING CONTENT

• Industry 4.0 and Introduction
• Basics of Digital Twins
• Digital Twin Architecture
• Modeling and Simulation
• Data Analytics and AI in Digital Twins
• Implementation of Digital Twins
• Digital Twin in Product Lifecycle Management (PLM)
• Digital Twin in Smart Manufacturing
• Maintenance and Optimization
• New Developments

APPROACH/

METHOD

Online

DURATION

17.5 hours on-demand video

ASSESSMENT

No

CERTIFICATION

Yes

COST

€44.99

Contact Provider

https://gaugehow.com/

https://twitter.com/gaugehow

https://www.facebook.com/gaugehow

https://linkedin.com/gaugehow

DATE

Full lifetime access

LOCATION

Online

WEBSITE

https://www.udemy.com/course/digital-twins/?couponCode=NEWYEARCAREER#instructor-1

PROVIDER

Coursera

DESCRIPTION

In this course, learners will be introduced to the concept of Digital Twins, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing Digital Twins, and what needs to happen across the organization to ensure successful implementation.

Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing Digital Twins, how Digital Twins is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing. The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.

TARGET

• Manufacturing professionals
• IT infrastructure managers
• Business analysts
• Operations managers
• Technology adoption strategists
• Executives and decision-makers in manufacturing

SECTOR

• Manufacturing industry
• Information technology
• Industrial engineering

AREA

• Digital transformation
• Technology implementation
• Operational efficiency
• Business strategy and value analysis

LEARNING OUTCOMES

• Understand the basics of digital twins, digital twins platform and ecosystem
• Learn the implementation of digital twins in manufacturing, the corresponding business values, and risks
• Get to know the future trends of digital twins and digital threads
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• What is digital twins?

Welcome to Digital Twins! This week, you'll learn the basics behind this technology and will be able to describe the applications and and uses for digital twins within a manufacturing setting.

• Digital twins Platform, Ecosystem, and business contex

In our second week, we will address the digital twin platform ecosystem and the business context/advantages of digital twins. We'll also review risks and challenges surrounding this technology.

• Future Trends and Summary

In our final week, you'll learn about the forecast of future trends for digital twins, learn about a related concept called digital threads, and spend time working through a case project for your final assessment.

APPROACH/

METHOD

Online

DURATION

9 hours to complete/3 weeks at 3 hours a week

ASSESSMENT

No

CERTIFICATION

Yes

COST

Free

Contact Provider

http://www.umich.edu/

mskrish@umich.edu

DATE

18 November 2024 start /Flexible schedule ,Learn at your own pace

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/digital-twins

PROVIDER

Alison

DESCRIPTION

Predictive analytics has become a cornerstone skill in modern business and technology, transforming how organizations approach decision-making and strategy. This course builds upon the prerequisite course Computer Vision Essentials, ensuring learners have a strong foundation in data science and computer vision concepts before progressing to advanced predictive analytics. By analyzing historical data to predict future outcomes, predictive analytics enables organizations to anticipate challenges, identify opportunities, and make data-driven decisions with unprecedented accuracy. Whether it’s predicting customer behavior, optimizing supply chains, or improving operational efficiency, this skill empowers professionals to drive innovation and maintain a competitive edge.

This course offers an in-depth exploration of predictive analytics, focusing on methodologies, techniques, and real-world applications. Participants will learn how to transform raw data into actionable insights that directly impact decision-making. From data collection and preprocessing to feature engineering, model building, and evaluation, the course provides a structured pathway to mastering predictive modeling. Along the way, learners will gain insights into various predictive models, including linear regression, decision trees, neural networks, and ensemble methods, ensuring a comprehensive understanding of the field. Practical applications are emphasized throughout, with a focus on industries like finance, healthcare, marketing, and operations, ensuring learners are ready to apply their knowledge in diverse contexts. The course also highlights the essential tools and techniques that form the backbone of predictive analytics. Topics include data collection and preprocessing, where learners will explore methods for cleaning and organizing data, ensuring accuracy and consistency. Feature selection and engineering will help participants understand how to identify the most relevant data points for analysis, optimizing model performance. Advanced topics in model building and evaluation will provide learners with the expertise to construct robust models and validate their effectiveness using real-world datasets. To deepen practical understanding, hands-on case studies will guide learners through applying these techniques to solve real-world business problems. This approach not only enhances analytical thinking but also ensures learners can effectively validate and deploy predictive models in various professional scenarios.

The course is ideal for a diverse audience, catering to both beginners and seasoned professionals. Whether you’re a student exploring data science, a business professional seeking to make data-driven decisions, or an analytics expert aiming to enhance your predictive modeling skills, this course offers valuable insights. It is especially beneficial for researchers, aspiring data scientists, and data enthusiasts eager to understand how predictive analytics can shape the future of industries. With its comprehensive approach, emphasis on practical applications, and alignment with industry needs, this course is more than just an introduction—it’s a transformative journey into the world of predictive analytics. Enroll today to unlock the power of data and take the next step in your professional growth.

TARGET

• Students exploring data science
• Business professionals making data-driven decisions
• Analytics experts enhancing predictive modeling skills
• Researchers and aspiring data scientists
• Data enthusiasts

SECTOR

• Business and Technology
• Finance
• Healthcare
• Marketing
• Operations

AREA

• Predictive Analytics
• Data Science
• Decision-Making Strategies
• Model Building and Evaluation
• Data Collection and Preprocessing

LEARNING OUTCOMES

• Describe the core principles and techniques of predictive analytics
• Create predictive models to forecast outcomes
• List the key elements of building predictive models
• Evaluate and refine predictive models for enhanced accuracy, interpretability, and reliability
• Apply predictive analytics techniques to optimize operations and improve organizational efficiency
• Analyse real-world case studies to understand the practical application of predictive analytics in diverse industries
• Recall the impact of predictive analytics on key business functions, such as supply chain and customer retention
• Outline strategies for leveraging predictive analytics to transform and innovate business processes
• Review the diverse applications of predictive analytics across different business functions
• Discuss the role of predictive analytics in modern business decision-making
• Identify effective methods for gathering and preparing data for predictive analytics
• Explain the ability of predictive models to support decision-making in various domains

LEARNING CONTENT

• Module 1: Understanding Predictive Analytics

This module provides a comprehensive introduction to the core concepts, methods, and practical applications of predictive analytics. You’ll gain the skills to transform raw data into meaningful insights, develop predictive models, and identify critical trends that inform predictive strategies and enable actionable decision-making

• Module 2: Course assessment

APPROACH/

METHOD

Online

DURATION

3-4 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://alison.com/course-creators/youaccel-training

DATE

Always avilibale

LOCATION

Online

WEBSITE

https://alison.com/course/introduction-to-predictive-analytics

PROVIDER

Udemy

DESCRIPTION

This course covers the critical communication foundation on which a professional image is built. You will learn how to build a solid, unshakable foundation so you can easily command more attention and respect when delivering a critical message either at work or at home.

• • In this course, you will learn how to:
• Establish power and control in any relationship, so you can use that power to direct the relationship in the direction you choose
• Recognize patterns in our relationships, and what those patterns mean, so you can change your patterns to ones that serve you
• Identify what key elements are really missing in your relationships that are preventing them from moving forward, so you can then infuse your relationships with these missing pieces

As a comprehensive online training, this course is designed for different audiences. Therefore, it may be used as either of the following:

• Basic Employee Training
• Mid-Management Training
• Comprehensive Executive Training

Dan O'Connor has been delivering tactical communication programs to businesses, governmental entities and individuals for over 15 years. The results from Dan's online communication training program and YouTube training videos are measurable in the responses of students and subscribers that he has helped create a personal compass for both personal and professional growth. One of the key aspects of his success is the emphasis on practical, day-to-day communication solutions for the stressful situations with which we all live.

TARGET

• Employees
• Mid-Management
• Executives

SECTOR

• Corporate Training
• Governmental Training
• Personal Development

AREA

• Communication Skills
• Relationship Management
• Professional Development

LEARNING OUTCOMES

• Basic communication methods and patterns, like using your voice to control the conversation
• How to become a valuable and comprehensive conversational partner for others and how to limit potential for conflict
• Establish power and control in any relationship, so you can use that power to direct the relationship in the direction you choose

LEARNING CONTENT

• Effective Communication in the Workplace

APPROACH/

METHOD

Online

DURATION

3 hours

ASSESSMENT

-

CERTIFICATION

Yes

COST

€54.99

Contact Provider

http://www.lecturio.de/

https://linkedin.com/company/lecturio-gmbh

DATE

Always available

LOCATION

Online

WEBSITE

https://www.udemy.com/course/effective-communication-in-the-workplace/?couponCode=LETSLEARNNOW#instructor-1

PROVIDER

Coursera

DESCRIPTION

This course provides a comprehensive introduction to fundamental components of artificial intelligence and machine learning (AI & ML) infrastructure. You will explore the critical elements of AI & ML environments, including data pipelines, model development frameworks, and deployment platforms. The course emphasizes the importance of robust and scalable design in AI & ML infrastructure.

By the end of this course, you will be able to:

1. Analyze, describe, and critically discuss the critical components of AI & ML infrastructure and their interrelationships.
2. Analyze, describe, and critically discuss efficient data pipelines for AI & ML workflows.
3. Analyze and evaluate model development frameworks for various AI & ML applications.
4. Prepare AI & ML models for deployment in production environments.

To be successful in this course, you should have intermediate programming knowledge of Python, plus basic knowledge of AI and ML capabilities, and newer capabilities through generative AI (GenAI) and pretrained large language models (LLM). Familiarity with statistics is also recommended.

TARGET

• Intermediate programmers with Python knowledge
• Data scientists and analysts
• AI & ML practitioners
• Software developers interested in AI & ML

SECTOR

• Information Technology
• Artificial Intelligence
• Data Science
• Machine Learning

AREA

• AI & ML Infrastructure
• Data Pipelines
• Model Development Frameworks
• Production Deployment of AI & ML Models

LEARNING OUTCOMES

• Cloud Infrastructure Management
• Scalable System Design
• Model Development Frameworks
• Cloud infrastructure management
• Data Pipeline Design
• Deployment Strategy Planning
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate from Microsoft

LEARNING CONTENT

• Module 1: introduction to AI/ML environments

This module provides a comprehensive introduction to the essential elements of AI/ML infrastructure, focusing on the components and processes that underpin effective ML and AI systems. This module will cover the critical aspects of infrastructure required to support robust AI/ML applications, from data handling to model deployment. By the end of this module, you'll have a solid foundation in AI/ML infrastructure, equipping you with the knowledge to contribute to and manage AI/ML projects effectively.

• Module 2: Data management in AI/ML

This module delves into the sophisticated techniques and best practices required for effective data acquisition, cleaning, and preprocessing in the context of AI and ML. Emphasizing the importance of data integrity and security, this module will equip you with the skills needed to manage data sources for various applications, including retrieval-augmented generation (RAG) in large language models (LLMs) and traditional ML systems. You will also learn how to ensure data security throughout the AI development life cycle. By the end of this module, you'll be proficient in advanced data acquisition, cleaning, and preprocessing techniques, and will have a solid understanding of data security best practices, enabling you to manage data effectively and securely in AI development

• Module 3: Considering and selecting model frameworks

This module offers a comprehensive exploration of popular ML frameworks, libraries, and pretrained LLMs. You will gain hands-on experience with these tools, learning to evaluate their strengths and weaknesses and select the most suitable ones based on specific project needs. By the end of the module, you'll be equipped to implement basic models and adapt their framework choices to optimize performance for diverse application

• Module 4: Considerations when deploying platforms

This module provides a detailed exploration of the critical aspects of deploying ML models into production environments. You will learn to identify the key features of deployment platforms, prepare models for real-world use, implement version control for reproducibility, and evaluate platforms based on their scalability and efficiency. By the end of this module, you will be equipped to effectively deploy ML models in production environments, manage their lifecycle with version control, and select the most suitable deployment platforms based on scalability and efficiency considerations.

• Module 5: AI/ML concepts in practice

This module offers an in-depth exploration of the evolving role of AI/ML engineers within corporate environments. You will gain a comprehensive understanding of the responsibilities associated with this role, including data management, framework selection, deployment, version control, and cloud considerations. The module also emphasizes the integration of infrastructure and operations to optimize outcomes and provides strategies for networking and finding mentorship within the AI/ML community. By the end of this module, you will have a clear understanding of the AI/ML engineer's evolving role in the corporate landscape, the key operational priorities for effective infrastructure management, and strategies for building a professional network and finding valuable mentors in the field.

APPROACH/

METHOD

Online

DURATION

35 hours to complete/3 weeks at 11 hours a week

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.coursera.org/instructor/microsoft

DATE

Start jan 14 2025/ Flexible schedule

LOCATION

Online

WEBSITE

https://www.coursera.org/learn/foundations-of-ai-and-machine-learning

PROVIDER

Alison

DESCRIPTION

Information Technology is a very vast field. It has a lot of subsequent branches, and data management is one of them. Data management professionals are widely sought after across the world. They are must haves for any business and organization dealing with large amounts of crucial information. For these professionals, one way to demonstrate their expertise in data management is having a CDMP certification from DAMA International.

At Digital Partner, our curriculum experts developed this brief course for Alison students who want to build a data management career or take the CDMP certification exam. The course is elementary. First, it will concisely explain the critical aspects of data management to the students. Then, it will explain the concept of data warehousing, its types, components, and stages. It also describes best practices related to the implementation of a data warehouse.

Finally, the last topic of the course is dedicated to explaining the fundamentals of CDMP certification. There, you will learn about the CDMP certification, its advantages, the structure of the CDMP exam, and the knowledge areas of the Data Management Fundamentals exam. Overall, this course will be a precious resource for you, especially if you are interested in data management and are just beginning your professional journey.

TARGET

• Aspiring data management professionals
• Individuals preparing for CDMP certification

SECTOR

• Information Technology
• Data Management

AREA

• Data Warehousing
• Data Management Fundamentals
• Certification preparation (CDMP)

LEARNING OUTCOMES

• Identify the entities that need data warehousing the most
• Describe the profession of data management and practices associated with it
• Indicate the three-pronged strategy to implement data warehousing in organizations
• State the advantages and disadvantages of having a data warehouse
• List the stages of data warehousing with their main attributes
• Outline the differences between the three major types of data warehouses
• Explain the most important aspects of data management, such as governance, quality, and collection
• Recall the prevalent best practices for data management, such as cataloging, documentation, and data storage
• Discuss the concept of data warehousing and its working briefly

LEARNING CONTENT

• Module 1. The Basics of Data Management and CDMP Certification:

This module introduces you to the field of data management. You will learn its basics, such as data collection and storage, data quality, and data governance. The module also mentions best practices related to data management and the concept of data warehousing. Last, the main aspects of the CDMP examination and certification are also explained

• Module 2. Course assessment

APPROACH/

METHOD

Online

DURATION

1.5-3 Hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://alison.com/course-creators/digitia-patreon

DATE

Always available

LOCATION

Online

WEBSITE

https://alison.com/course/fundamentals-of-certified-data-management-professional-cdmp

PROVIDER

Coursera

DESCRIPTION

This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark.

Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases. You’ll also explore how big data uses technologies like parallel processing, scaling, and data parallelism.

Next, you will learn about Hadoop, an open-source framework that allows for the distributed processing of large data and its ecosystem. You will discover important applications that go hand in hand with Hadoop, like Distributed File System (HDFS), MapReduce, and HBase. You will become familiar with Hive, a data warehouse software that provides an SQL-like interface to efficiently query and manipulate large data sets. You’ll then gain insights into Apache Spark, an open-source processing engine that provides users with new ways to store and use big data. In this course, you will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the components that make up Apache Spark. You’ll learn about DataFrames and perform basic DataFrame operations and work with SparkSQL. Explore how Spark processes and monitors the requests your application submits and how you can track work using the Spark Application UI.

This course has several hands-on labs to help you apply and practice the concepts you learn. You will complete Hadoop and Spark labs using various tools and technologies, including Docker, Kubernetes, Python, and Jupyter Notebooks.

TARGET

• Data Analysts
• Data Scientists
• Business Intelligence Professionals
• IT Professionals
• Software Developer

SECTOR

• Information Technology
• Data Analytics
• Business Intelligence
• Software Development

AREA

• Big Data Analytics
• Data Processing Tools
• Distributed Computing
• Data Management and Warehousing

LEARNING OUTCOMES

• Explain the impact of big data, including use cases, tools, and processing methods.
• Describe Apache Hadoop architecture, ecosystem, practices, and user-related applications, including Hive, HDFS, HBase, Spark, and MapReduce.
• Apply Spark programming basics, including parallel programming basics for DataFrames, data sets, and Spark SQL.
• Use Spark’s RDDs and data sets, optimize Spark SQL using Catalyst and Tungsten, and use Spark’s development and runtime environment options.

LEARNING CONTENT

• What Is Big Data?

Module1

• Introduction to the Hadoop Ecosystem

Module 2

• Apache Spark

Module 3

• DataFrames and Spark SQL

Module 4

• Development and Runtime Environment Options

Module 5

• Monitoring and Tuning

Module 6

• Final Project and Assessment

Module 7

APPROACH/

METHOD

Online

DURATION

19 hours

ASSESSMENT

Yes

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.youtube.com/channel/UC5HTc1Fi10GwdxLEe46urUA

https://www.linkedin.com/in/aije-egwaikhide/

https://www.twitter.com/ravahuja

DATE

Start jan 14 2025 /Always availible

LOCATION

Online

WEBSITE

https://alison.com/course/fundamentals-of-certified-data-management-professional-cdmp

PROVIDER

i4ms.eu

DESCRIPTION

This course provide information to Understand the new domain in terms of basic concepts, technology used, as well as context of using. Additionally, you will learn how to run and manage a big data project.

TARGET

• Directors
• Plant Manager
• Engineers
• Operators

SECTOR

• Computer - Software
• Education
• Research & Development

AREA

• Scotland (specifically the manufacturing community)
• Online and face-to-face training environments
• Contexts involving post-pandemic business adjustments and technology integration

LEARNING OUTCOMES

A series of online and face-to-face seminars from the National Manufacturing Institute Scotland (NMIS) aimed at providing Scotland’s manufacturing community with insights that can make real impact.

LEARNING CONTENT

As we all begin to adjust to life after lockdown and ‘the new normal’, businesses and employees around the world are having to rethink the concept ‘ business as usual’. For some, the pandemic has brought about great opportunities but for others the future is less certain. Regardless of your situation, the need to engage with key technology developments and the wider industrial landscape has never been more important. Join us in the second half of this unprecedented year as we continue to seek to support and inspire those within the wider manufacturing and engineering community with our series of weekly technology-briefing webinars, brought to you by our world-class team of engineers, researchers and industry partners

APPROACH/

METHOD

Online

DURATION

+7 days

ASSESSMENT

-

CERTIFICATION

-

COST

Free

Contact Provider

Tina.Backstrom@ltubusiness.se

DATE

Always available

LOCATION

Online

WEBSITE

https://i4ms.eu/trainings/data-science-for-business-intelligence/

PROVIDER

Coursera

DESCRIPTION

This course is a continuation of the Introduction to Software Development and Applications course. In this course, you will dive further into exploring software engineering techniques and their application to real-world business problems. Students who take this course will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly. In this course you will learn about constructing domain models. You will also refine your skills to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs.

TARGET

• Students who have completed an introductory course in software development
• Aspiring software engineers
• Business analysts

SECTOR

• Information Technology (IT)
• Software Development
• Business Solutions

AREA

• Software Engineering
• Application Design
• Systems Thinking and Modeling

LEARNING OUTCOMES

• Complex Problem Solving
• Object-Oriented Software Engineering (Object-Oriented Programming)
• Domain Model
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

LEARNING CONTENT

• Constructing Domain Models

Module 1

• Domain Model Implementation

Module 2

• The Xerox Case - Part 1

Module 3

• The Xerox Case - Part 2

Module 4

APPROACH/

METHOD

Online

DURATION

9 hours to complete/3 weeks at 3 hours a week

ASSESSMENT

-

CERTIFICATION

Yes

COST

Free

Contact Provider

https://www.northeastern.edu/

DATE

Start feb2 2025/ always available

LOCATION

Online

WEBSITE

www.coursera.org/learn/introduction-to-domain-models

PROVIDER

i4ms.eu

DESCRIPTION

It is a course on advanced visualization techniques that can reveal interesting and useful information about your data.

TARGET

• Managers
• Staff in manufacturing and technology sectors
• Data analysts and decision-makers

SECTOR

• Automotive
• Aerospace
• Agriculture
• Chemical
• Computer - Software
• Construction
• Defense
• Education
• Research & Development
• Energy

AREA

• Industry 4.0
• Advanced Data Visualization
• Cybersecurity
• Machine Learning
• ICT Solutions for Decision Making

LEARNING OUTCOMES

Help managers and staff to understand the current framework of digital transformation and identify the changes that can imply in their company as a source of business opportunity.

LEARNING CONTENT

The Industry 4.0, The new manufacturing techniques, Digital component technologies, CybersecurityModule: ICT Solution for decisions making in Industry 4.0, Machine Learning

APPROACH/

METHOD