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

Vision and strategy setting Executive sponsorship Capability and gap assessment Data platform foundations Use case pipeline management Governance and guardrails Talent acquisition and upskilling Partner and vendor ecosystem Operating model choices Funding and portfolio management Change management tactics Measurement and OKRs Scaling from pilot to production Communicating wins and learnings Sustaining momentum

14Pitfalls, Risks, and Responsible AI

15AI and Society, Careers, and Next Steps

Courses/AI For Everyone/AI Transformation Playbook

AI Transformation Playbook

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Follow a structured approach to scale AI across an organization.

Content

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Use case pipeline management

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