AI For Everyone

Chapters

1Orientation and Course Overview

2AI Fundamentals for Everyone

3Machine Learning Essentials

4Understanding Data

5AI Terminology and Mental Models

6What Makes an AI-Driven Organization

7Capabilities and Limits of Machine Learning

8Non-Technical Deep Learning

9Workflows for ML and Data Science

10Choosing and Scoping AI Projects

11Working with AI Teams and Tools

12Case Studies: Smart Speaker and Self-Driving Car

13AI Transformation Playbook

14Pitfalls, Risks, and Responsible AI

15AI and Society, Careers, and Next Steps

AI and developing economies Industry and sector impacts Jobs displaced and created Augmentation over automation Reskilling and upskilling paths Inclusion and accessibility Policy and public discourse Environmental considerations Personal learning roadmap First AI project checklist Communicating with stakeholders Portfolio and case study ideas Preparing for the final quiz Engaging with the community Course wrap-up and call to action

Courses/AI For Everyone/AI and Society, Careers, and Next Steps

AI and Society, Careers, and Next Steps

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Explore societal impacts and craft your personal plan to apply AI.

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Inclusion and accessibility

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