PART 1: AI Reality, Relevance & Business Impact
PART 2: How Modern AI Understands Information
PART 3: AI & ML Fundamentals for Product Managers
PART 4: How Models Actually Work (Systems Thinking)
PART 5: Scale, Efficiency & Technical Tradeoffs
PART 6: Measuring AI & Product Success
PART 7: AI Product Decision Frameworks
PART 8: Model Adaptation, Retrieval & Agentic Systems
PART 9: AI in Business Functions & Operations
PART 10: AI Product Leadership, Ethics & Lifecycle Ownership
AI IN ACTION : 30 Case Studies From Real World