AI Product Management Masterclass (AI PM)
Taught by a working AI Product Manager — not a course creator. Build and ship real AI features in 4 weeks.
One-time payment · 4-Week Cohort · Lifetime Access & Recordings
The Complete Syllabus & Curriculum
8 Units across 4 weekly modules — hands-on, no-code, and 1 shipped capstone product for your portfolio.
MODULE 1 · WEEK 1: Foundations, Discovery & Strategy
Unit 01: AI Foundations
Understand how LLMs work in PM language — tokens, embeddings, context windows, pre-training vs fine-tuning vs RAG, and hallucinations.
Deliverable: 3 documented model failures — tokenization quirk, context window drop, and forced hallucination.
Unit 02: Discovery & Strategy
AI-native vs AI-augmented products, Build vs Buy vs API decision framework, user research for AI, and opportunity mapping.
Deliverable: AI Opportunity Map for a domain grounded in user interviews.
MODULE 2 · WEEK 2: Designing AI Features & UX
Unit 03: Designing AI Features
Prompt engineering, system prompts, context engineering, retrieval, parameter tuning (temperature), and writing versioned prompts.
Deliverable: Tested system prompt run against 5 messy real-world inputs with clear improvement data.
Unit 04: AI UX
Designing for probabilistic outputs, conversational UI, trust & transparency, error states, fallbacks, and progressive disclosure.
Deliverable: UX sketch of wrong/slow/unsure model error states & trust-building fallbacks.
MODULE 3 · WEEK 3: Specs, Shipping & Evals
Unit 05: Specs & Shipping
Writing AI PRDs (model, data, prompt, eval), LLMOps basics (latency, cost, deployment), and vibe-coding no-code prototypes.
Deliverable: AI-native PRD + first working no-code prototype.
Unit 06: Evals & Metrics
Defining GenAI quality, LLM-as-judge evaluation, human-in-the-loop rubrics, North-Star metrics, telemetry, and monitoring model drift.
Deliverable: Eval rubric, 15-case test set results table with pass rate, and North-Star metric framework.
MODULE 4 · WEEK 4: Agents, Ethics & Capstone
Unit 07: Agents
Agentic workflows, connecting tools via MCPs, multi-agent systems, orchestration, guardrails, infinite loops, and cost limits.
Deliverable: Deployed no-code agent with guardrails.
Unit 08: Responsible AI
Bias, fairness, privacy, IP risk, EU AI Act compliance, and building a long-term AI product roadmap.
Deliverable: Responsible AI review + v2 product roadmap.
Capstone Project Deliverables
Working AI feature/agent, 1-page product brief, system prompt + failure plan, eval rubric results, responsible AI review, and 5-minute live demo.
Meet Your Instructor & Mentor
Sagrika Kumar
AI Product Manager @ IBM
"I'm not a course creator. I'm a PM who ships AI every day. I build IBM Bob — an enterprise AI assistant used in daily production — and I run every live session of this masterclass myself."
What Is Included
- ✓ 4 weeks of live sessions + self-paced lessons
- ✓ Weekly hands-on builds & 1:1 mentor feedback
- ✓ Private Masterclass community + alumni network
- ✓ A shipped, evaluated AI feature for your portfolio
- ✓ Templates: prompt specs, eval sets, AI PRDs
- ✓ Lifetime access to all session recordings & updates
Frequently Asked Questions (FAQ)
Q: Is this a purely self-paced course?
A: No, it's live plus self-paced. You go through self-paced lessons on your own schedule during the week and join one live session each week on Saturdays (IST) over Google Meet.
Q: Do I need to code?
A: No coding required. You will build working AI prototypes using no-code AI tools. If you do code, that is a bonus, but no programming experience is assumed.
Q: What is the time commitment?
A: Approximately 6 hours a week: self-paced video lessons, 2 hours of Saturday live war room, and hands-on guided builds.
Q: Can my company pay for this course?
A: Yes. We provide GST invoices and manager-ready reimbursement docs. Payment is securely handled via Razorpay.
Q: Do I get a certificate of completion?
A: Yes, upon completing your capstone project, you receive a verified certificate to share on LinkedIn and your resume.