Course 1 of 4 in this specialization
Develop and Lead Data-Driven AI Strategies
Coming soon 24 topics Self-paced · Online
Notify me when it launches
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 9781394251964
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.
Develop and Lead Data-Driven AI Strategies is a self-paced online course built from the Wiley title of the same name.
What this course covers
- Praise for Data & AI Imperative
- Acknowledgments
- Introduction
- Part I The Data & AI Advantage in Modern Business
- Chapter 1 Leveling the Playing Field with Data and AI
- Chapter 2 Introduction to Data Strategy
- Chapter 3 Types of Data-Intensive Use Cases Based on Business Objectives
- Chapter 4 Data- and AI-Driven Product-Led Growth
- Chapter 5 Amplifying Growth Marketing Outcomes with Data and AI
- Chapter 6 Validating Product-Market Fit for Commercial Data and AI Products and Services
- Part II The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
- Chapter 7 Complying with Regulatory and Ethical Standards
- Chapter 8 Practical Tactics for Successful AI Deployments
- Part III The Technical Foundation for Growth
- Chapter 9 Surveying Your Industry and Organization
- Chapter 10 Perform a Technical Assessment
- Chapter 11 Stakeholder Engagement and Data Literacy
- Chapter 12 Assessing Your Current State Organization
- Chapter 13 Assessing Your Current State AI Ethics and Data Privacy
- Part IV Formulating and Implementing an AI Strategy
- Chapter 14 Selecting and Scoping a Winning Use Case
- Chapter 15 Evaluating All Relevant Resources
- Chapter 16 Data Strategy Recommendations for Reaching Future State Goals
- Chapter 17 Finalizing Your Strategic Plan