AI Academy

Unlock AI potential across your entire organization. Train your employees to harness the power of artificial intelligence — from AI essentials to advanced content for technical experts.

Prepare your organization with an AI-skilled workforce.

AI is reshaping industries faster than before. So much so, that to remain competitive, today’s leaders need to know how to incorporate AI into strategy. Our AI Academy includes programs designed to help increase and update the AI skills of technical professionals in your organization, and allow you to stay at the forefront of innovation.

Executive education programs

For senior leaders, managers, and high potentials

6 Weeks

Yale School of Management Executive Education – Digital Transformation Strategy

Learn how digitalization adds value across all business functions, using global case studies to illustrate how digital technologies transform workforce requirements, customer relationships, and business value.

6 Weeks

University of Oxford – Artificial Intelligence Programme

Explore the practical applications of AI, within your organisation and society.

6 Weeks

IMD Developing Digital Transformation Strategies

Learn what true end-to-end digital transformation entails, and learn to apply three unique strategies for the creation of digital experiences and transformation of digital functions and businesses in context.

3 Weeks

The London School of Economics and Political Science – Ethics of AI

Investigate the ethical challenges and opportunities presented by artificial intelligence (AI).

8 Weeks

The London School of Economics and Political Science – Machine Learning: Practical Applications

Develop technical machine learning competencies to solve business problems and inform decision-making.

6 Weeks

The London School of Economics and Political Science Data – Analysis for Management

Develop an understanding of how data-driven models can improve ones decision-making ability in a fast-paced, real world.

6 Weeks

The London School of Economics and Political Science – Data: Law, Policy and Regulation

Examine the function of law in the digital realm by contextualising legal principles and concepts connected to technology and data regulation.

2 Weeks

The Economist Education Data Storytelling and Visualisation: Communicating with Numbers to Inform, Persuade, Decide

Develop a “data mindset”: a way to think about problems in business and the world at large, and recognise how data can help one make better decisions.

6 Weeks

National University of Singapore – AI in Finance: Delivering Business Value

Learn how to manage the design, development and deployment of AI solutions within one’s organisation.

6 Weeks

Harvard University FinTech

Step beyond current FinTech disruption and prepare for future financial services priorities.

6 Weeks

University of Oxford – Algorithmic Trading Programme

Develop the ability to implement your own trading strategies and demystify algorithmic trading.

8 Weeks

Northwestern University Strategic Change Management

Gain the necessary tools and knowledge to encourage creativity and successfully implement change plans.

6 Weeks

University of Oxford – Leading Through Uncertainty and Disruption Programme

Discover how organisational resilience can generate a competitive advantage and long-term sustainability for your business.

6 Weeks

Yale School of Management Executive Education- Digital Transformation Strategy

Revamp your organization’s approach to digital transformation and spearhead measurable, value-oriented strategies for innovation.

6 Weeks

National University of Singapore Change Management for Digital Transformation

Gain an in-depth understanding of the tools and techniques required to manage, plan for and execute change in ones organisation.

6

Yale School of Management Executive Education – Digital Transformation Strategy

Learn how digitalization adds value across all business functions, using global case studies to illustrate how digital technologies transform workforce requirements, customer relationships, and business value.

6

University of Oxford – Artificial Intelligence Programme

Explore the practical applications of AI, within your organisation and society.

6

IMD Developing Digital Transformation Strategies

Learn what true end-to-end digital transformation entails, and learn to apply three unique strategies for the creation of digital experiences and transformation of digital functions and businesses in context.

3

The London School of Economics and Political Science – Ethics of AI

Investigate the ethical challenges and opportunities presented by artificial intelligence (AI).

8

The London School of Economics and Political Science – Machine Learning: Practical Applications

Develop technical machine learning competencies to solve business problems and inform decision-making.

6

The London School of Economics and Political Science Data – Analysis for Management

Develop an understanding of how data-driven models can improve ones decision-making ability in a fast-paced, real world.

6

The London School of Economics and Political Science – Data: Law, Policy and Regulation

Examine the function of law in the digital realm by contextualising legal principles and concepts connected to technology and data regulation.

2

The Economist Education Data Storytelling and Visualisation: Communicating with Numbers to Inform, Persuade, Decide

Develop a “data mindset”: a way to think about problems in business and the world at large, and recognise how data can help one make better decisions.

6

National University of Singapore – AI in Finance: Delivering Business Value

Learn how to manage the design, development and deployment of AI solutions within one’s organisation.

6

Harvard University FinTech

Step beyond current FinTech disruption and prepare for future financial services priorities.

6

University of Oxford – Algorithmic Trading Programme

Develop the ability to implement your own trading strategies and demystify algorithmic trading.

8

Northwestern University Strategic Change Management

Gain the necessary tools and knowledge to encourage creativity and successfully implement change plans.

6

University of Oxford – Leading Through Uncertainty and Disruption Programme

Discover how organisational resilience can generate a competitive advantage and long-term sustainability for your business.

6

Yale School of Management Executive Education- Digital Transformation Strategy

Revamp your organization’s approach to digital transformation and spearhead measurable, value-oriented strategies for innovation.

6

National University of Singapore Change Management for Digital Transformation

Gain an in-depth understanding of the tools and techniques required to manage, plan for and execute change in ones organisation.

Contact our sales team and explore the rest of our learning catalog

Contact our sales team alt=””

Self-paced programs

For all teams

7 Weeks

The Linux Foundation Ethical Principles for Conversational AI

Learn about the impact and ethical challenges of conversational/voice AI, while exploring the principles and frameworks needed to help avoid potential harm as humans interact with the technology.

4 Weeks

IBM AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

5 Weeks

Delft University of Technology AI in Practice: Preparing for AI

Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice.

10 Weeks

The Linux Foundation Data and AI Fundamentals

Gain Artificial Intelligence skills by combining AI fundamentals with the rich Linux Foundation AI data ecosystem. Suitable for any AI adopter, regardless of professional background or technical knowledge.

5 Weeks

Delft University of Technology – AI in Practice: Applying AI

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

4 Weeks

Statistics.comX – Predictive Analytics: Basic Modeling Techniques

The course focuses on data analysis, model fitting, and performance measurement for hands-on experience in data science tasks.

3 Weeks

IBM: Python Basics for Data Science

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!

6 Weeks

HarvardX: CS50’s Computer Science for Business Professionals

This is CS50’s introduction to computer science for business professionals.

6 Weeks

HarvardX: Machine Learning and AI with Python

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

5 Weeks

IBM: Deep Learning Fundamentals with Keras

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

5 Weeks

IBM: PyTorch Basics for Machine Learning

Master PyTorch fundamentals in this two-part course. Implement classic ML algorithms, explore PyTorch model creation, optimization, and gain essential prerequisites for building deep learning models.

6 Weeks

DelftX: Data Creation and Collection for Artificial Intelligence via Crowdsourcing

Unlock AI data essentials and crowdsourcing as a powerful tool for leveraging human intelligence at scale. Learn data enrichment, interpretation, and how to boost AI performance, trustworthiness, and adoption.

4 Weeks

BabsonX: AI for Leaders

AI program designed for leaders to advance their career and company.

1 Weeks

DavidsonX: AI Prompt Engineering for Beginners

Embark on a crash course to master AI language tools! Explore the art of prompt engineering with ChatGPT to craft powerful and relevant responses. Perfect for all learners, regardless of technical background.

1 Weeks

edX: How to Use ChatGPT in Business

Explore the transformative potential of ChatGPT in business! This course is designed to introduce the exciting world of ChatGPT and how it can transform various aspects of business operations.

1 Weeks

IBM: AI Chatbots without Programming

Chatbots are increasingly in demand among global businesses. This course will teach you how to build, analyze, deploy and monetize chatbots – with the help of IBM Watson and the power of AI.

7

The Linux Foundation Ethical Principles for Conversational AI

Learn about the impact and ethical challenges of conversational/voice AI, while exploring the principles and frameworks needed to help avoid potential harm as humans interact with the technology.

4

IBM AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

5

Delft University of Technology AI in Practice: Preparing for AI

Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice.

10

The Linux Foundation Data and AI Fundamentals

Gain Artificial Intelligence skills by combining AI fundamentals with the rich Linux Foundation AI data ecosystem. Suitable for any AI adopter, regardless of professional background or technical knowledge.

5

Delft University of Technology – AI in Practice: Applying AI

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

4

Statistics.comX – Predictive Analytics: Basic Modeling Techniques

The course focuses on data analysis, model fitting, and performance measurement for hands-on experience in data science tasks.

3

IBM: Python Basics for Data Science

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!

6

HarvardX: CS50’s Computer Science for Business Professionals

This is CS50’s introduction to computer science for business professionals.

6

HarvardX: Machine Learning and AI with Python

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

5

IBM: Deep Learning Fundamentals with Keras

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

5

IBM: PyTorch Basics for Machine Learning

Master PyTorch fundamentals in this two-part course. Implement classic ML algorithms, explore PyTorch model creation, optimization, and gain essential prerequisites for building deep learning models.

6

DelftX: Data Creation and Collection for Artificial Intelligence via Crowdsourcing

Unlock AI data essentials and crowdsourcing as a powerful tool for leveraging human intelligence at scale. Learn data enrichment, interpretation, and how to boost AI performance, trustworthiness, and adoption.

4

BabsonX: AI for Leaders

AI program designed for leaders to advance their career and company.

1

DavidsonX: AI Prompt Engineering for Beginners

Embark on a crash course to master AI language tools! Explore the art of prompt engineering with ChatGPT to craft powerful and relevant responses. Perfect for all learners, regardless of technical background.

1

edX: How to Use ChatGPT in Business

Explore the transformative potential of ChatGPT in business! This course is designed to introduce the exciting world of ChatGPT and how it can transform various aspects of business operations.

1

IBM: AI Chatbots without Programming

Chatbots are increasingly in demand among global businesses. This course will teach you how to build, analyze, deploy and monetize chatbots – with the help of IBM Watson and the power of AI.

Contact our sales team and explore the rest of our learning catalog

Contact our sales team alt=””

Maximize flexibility — or scale

Choose the plan that best suits your needs best

alt=””

Learner Credit

Avoid the challenges of low-engagement micro-learning libraries.

Make an initial upfront, single payment to purchase Learner Credit funds. Allocate these credits to anyone within your organization.

Learner Credit can be redeemed against any learning solution throughout the contract term.

alt=””

Subscription

Build a culture of career-focused learning.

Purchase licenses and provide unrestricted access for all teams to the subscription course library.

Empower learners to take control of their own development.



World leading content. Unmatched outcomes.

Self-paced course library

Close skill gaps across your organization.

69%

enroll in multiple courses 1


141M+

enrollments 2


978M+

of total learning minutes in 2022 alone 3

91%

completion rate 4


300k+

past learners world-wide 5


95%

expectations met or passed 6

Executive education

Help build capabilities amongst leaders.

Accelerate your workforce into the future, with edX

  1. Percentage of corporate learners that enroll in multiple courses. edX Proprietary Data, 1 September 2020 – 15 September 2023. ↩︎
  2. 2022 Transparency & Outcomes Report. p 9. (2023) edX. Retrieved September 6, 2023. ↩︎
  3. 2022 Transparency & Outcomes Report. p 17. (2023) edX. Retrieved September 6, 2023. ↩︎
  4. 2022 Transparency & Outcomes Report. p 15. (2023) edX. Retrieved September 6, 2023. ↩︎
  5. 2022 Transparency & Outcomes Report. p 9. (2023) edX. Retrieved September 6, 2023. ↩︎
  6. Based on surveys sent to learners who completed a course. edX Proprietary Data. (2023). edX. 1 September 2019 – 1 September 2023 ↩︎