AI and jobs

Week 1 Quiz

AI and developing economies

The terminology of AI

Lecture Notes Week 1

Week 3 Quiz

How to choose an AI project (Part 2)

Survey of major AI application areas (optional)

AI pitfalls to avoid

Week 4 Quiz

What is data?

Workflow of a data science project

Workflow of a machine learning project

Machine Learning

Conclusion

Week 2 Introduction

Case study: Self-driving car

Working with an AI team

Case study: Smart speaker

Technical tools for AI teams (optional)

Example roles of an AI team

AI Transformation Playbook (Part 1)

Week 4 Introduction

Non-technical explanation of deep learning (Part 1, optional)

(Optional) Opportunity to Mentor Other Learners

How to choose an AI project (Part 1)

Lecture Notes Week 3

Adversarial attacks on AI

Week 3 Introduction

What machine learning can and cannot do

Week 1 Introduction

More examples of what machine learning can and cannot do

AI Transformation Playbook

Lecture Notes Week 4

Every job function needs to learn how to use data

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Non-technical explanation of deep learning (Part 2, optional)

Week 2 Quiz

Survey of major AI techniques (optional)

Lecture Notes Week 2

Taking your first step in AI

What makes an AI company?

A realistic view of AI

Adverse uses of AI

AI Transformation Playbook (Part 2)

Discrimination / Bias

What is AI?

Building AI Projects

Building AI in Your Company

AI and Society

AI for Everyone

Lecture Notes (Optional)

Learn about AI technologies and how to use them. Examine AI's societal impact, and learn to navigate this technological shift.