4 Months Intensive Program
AI Product Manager
Bridge the gap between AI technology and business strategy to lead successful AI product initiatives
4 Months
Duration
5 hrs/week
Weekly Coaching
20-50
Batch Size
$799
Course Fee
Learning Path
AI PM Specialization
→
Product-Certificate Series
Course Structure
Months 1-2
ML Lifecycle & Opportunity Sizing
Learning Outcomes
- ✓Understand the end-to-end ML product lifecycle
- ✓Identify high-impact AI opportunities in a business context
- ✓Translate technical AI concepts into business terms
Weekly Topics
- • AI product landscape & industry use cases
- • ML lifecycle: data → model → deployment → monitoring
- • Opportunity sizing frameworks (TAM, SAM, SOM for AI products)
- • Stakeholder mapping & user research for AI features
- • Competitive analysis for AI-powered solutions
Practical Work
- • Write PRD #1: AI-powered feature for a SaaS product
- • Create an opportunity sizing report for an AI initiative
Assessment
- • Weekly quizzes on AI product fundamentals
- • PRD #1 submission & peer review
Months 3-4
KPI Design, Agile Delivery & Privacy
Learning Outcomes
- ✓Design measurable success metrics for AI products
- ✓Manage AI projects using agile frameworks
- ✓Ensure AI features comply with privacy, security, and ethics standards
Weekly Topics
- • KPI frameworks for AI/ML products (accuracy, recall, latency, adoption)
- • Leading vs. lagging indicators in AI performance
- • Agile for AI: sprints, backlogs, and tech debt management
- • Data privacy laws (GDPR, CCPA) and AI ethics
- • Working with engineering & data science teams effectively
Practical Work
- • Write PRD #2: AI analytics dashboard with KPIs
- • Develop an agile sprint plan for AI feature delivery
Assessment
- • PRD #2 repo submission
- • Mid-term oral defense: KPI selection for AI features
Months 3-4 (continued)
Gen-AI Feature Prototyping & ROI Storytelling
Learning Outcomes
- ✓Rapidly prototype Generative AI features
- ✓Build ROI cases for AI initiatives
- ✓Communicate AI product value to executives and customers
Weekly Topics
- • Generative AI use cases & prototyping tools (Streamlit, Figma + AI APIs)
- • Integration basics for LLM-based features
- • ROI storytelling with data visualization
- • Structuring stakeholder pitch decks
- • Creating investor-ready AI product narratives
Practical Work
- • Write PRD #3: Gen-AI feature prototype
- • Build a stakeholder pitch deck for the final project
Assessment
- • Final portfolio submission: 3 PRDs + pitch deck
- • Portfolio capstone presentation to the panel
Deliverables for Learners
Projects
- •PRD #1: AI feature proposal
- •PRD #2: AI analytics dashboard with KPIs
- •PRD #3: Gen-AI feature prototype
- •Stakeholder pitch deck
Certifications
Product-Certificate for course completion with comprehensive portfolio assessment
Resources
- •PRD templates
- •Pitch deck samples
- •Recorded coaching sessions
Ready to Lead AI Products?
Join our 4-month intensive program and become an AI Product Manager with hands-on experience in ML lifecycle, KPIs, and Gen-AI prototyping.