Generative AI for Product Managers — 8-Week Cohort
Go from AI curiosity to shipping reliable GenAI features in production.
Who This Is For
PMs, tech leads, founders, and analysts who own AI roadmaps and need practical, production-minded skills.
Outcomes
- Pick the right architecture (RAG vs agents) for your use case
- Design evals to measure quality, latency, and cost
- Build a prototype with guardrails and analytics
- Plan MLOps & governance for launch and scale
Format & Commitment
Live sessions (weekly), async labs, peer reviews, office hours. Time: ~4–6 hrs/week. Mode: Online (live + recordings).
Next Cohort
Start: [DD Month, 2025] · Duration: 8 weeks · Seats: 25 · Price: [₹X / US$Y]
Syllabus (Week-by-Week)
- AI Product Strategy & Use-Case Scoring
- RAG Fundamentals: chunking, retrieval, grounding
- Agents & Tool Use: orchestration, failure modes
- Evaluation: golden sets, judges, regression tests
- Safety & Governance: privacy, bias, audit trails
- MLOps for GenAI: data, prompts, versioning, rollout
- Analytics & Reliability: latency, cost, guardrails
- Capstone Demos: stakeholder story + launch plan