Course 3 of 4 in this specialization
Implementing Responsible AI at Enterprise Scale
Coming soon 20 topics Self-paced · Online
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Where this comes from
Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.
Source ISBN 9781394289653
How it was built
Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.
Implementing Responsible AI at Enterprise Scale is a self-paced online course built from the Wiley title of the same name.
What this course covers
- Acknowledgments
- Part I: Day One: The Hype Cycle
- Chapter 1: LEAD AI: A Framework for Building Responsible AI
- Chapter 2: The Hype of AI: Capturing the Excitement
- Chapter 3: Building the AI Sandbox: Safe, Responsible Spaces for Innovation
- Chapter 4: From Ideation to Action: Setting Up for Successful Business Outcomes
- Part II: Day Two: The Road to Reality
- Chapter 5: From Playground to Production: Embracing the Challenges
- Chapter 6: Beyond the Prototype: What Happens After POC?
- Chapter 7: SECURE AI: A Framework for Deploying Responsible AI
- Chapter 8: Architecting AI: Designing for Scale and Security
- Part III: The AI Journey: Navigating Challenges and Embracing Change
- Chapter 9: Why Change Is the Only Constant in AI
- Chapter 10: Model Evaluation and Selection: Ensuring Accuracy and Performance
- Chapter 11: Bias and Fairness: Building AI That Serves Everyone
- Chapter 12: Responsible AI at Scale: Growth, Governance, and Resilience
- Part IV: The Vision Realized: Leading AI into the Future
- Chapter 13: Looking Back: Lessons Learned and Insights Gained
- Chapter 14: The Future of AI Leadership: Transforming Potential into Power
- Chapter 15: AI's Impact and Intention: Envisioning a World Transformed