AI for Product Managers
Joinloop Academy
Best Deal
Package
18Products
1 x AI landscape & the AI PM mindset
120mins • Sat, 29 Aug • 4:30 - 6:30AM (GMT+5:30)
1 x Gen AI , ML foundations for PMs
120mins • Sun, 30 Aug • 4:30 - 6:30AM (GMT+5:30)
1 x Introduction to LLMs, Prompt engineering
120mins • Sat, 5 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x Proto typing &Context Engineering (lab)
120mins • Sun, 6 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x “To AI or Not to AI” — fitment
120mins • Sat, 12 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x Introduction to RAG deconstructed (lab)
120mins • Sun, 13 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x AI agents & agentic workflows
120mins • Sat, 19 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x AI UX & human-in-the-loop
120mins • Sun, 20 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x Tech Foundation - Client server architecture
120mins • Sat, 26 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x AI System Architecture, API’s, Web Hook, SDK,
120mins • Sun, 27 Sep • 4:30 - 6:30AM (GMT+5:30)
1 x Evals & measuring AI accuracy
120mins • Sat, 3 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Cost, pricing & ROI modeling
120mins • Sun, 4 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Responsible AI, risk & DPDP
120mins • Sat, 10 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Portfolio building
120mins • Sun, 11 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x PM Interview Prep work
120mins • Sat, 17 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Additional Topics
120mins • Sun, 18 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Capstone work session
120mins • Sat, 24 Oct • 4:30 - 6:30AM (GMT+5:30)
1 x Capstone presentations
120mins • Sun, 25 Oct • 4:30 - 6:30AM (GMT+5:30)
Learning Outcomes
By the end of the 28 hours, every participant will be able to:
- Explain how modern AI works — LLMs, tokens, context, embeddings, RAG and agents — in plain business language, to both an executive and an engineer.
- Apply the “To AI or Not to AI” framework to decide whether a given product problem genuinely needs AI, and defend that decision.
- Write structured, testable, production-grade prompts and design a prompt as a versioned product asset.
- Specify a RAG or agentic feature: data, retrieval, guardrails, failure modes and human-in-the-loop checkpoints.
- Define success for an AI feature using task-specific and business metrics — not just “accuracy.”
- Build a cost and ROI model for an AI initiative and price a GenAI project.
- Identify the risk, ethics and governance obligations a PM personally owns, including India’s DPDP Act basics.
- Handle all six categories of AI PM interview question with structured, credible answers.
₹60,000