AI For Everyone

Chapters

1Orientation and Course Overview

Why this course Learning goals and outcomes Who this course is for Syllabus and weekly flow What’s included and time estimates Navigating videos and readings Using the forum and community Lecture notes and references Quizzes and assignments overview Intake survey and feedback Optional content guidance Tips for staying on track How to take notes effectively Terminology expectations Support and help channels

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

Courses/AI For Everyone/Orientation and Course Overview

Orientation and Course Overview

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Get oriented to the course goals, structure, resources, and how to succeed.

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Lecture notes and references

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