Overview: AI-First Product Management Course in Kankarbagh

For Kankarbagh product teams

You'll learn frameworks for deciding where AI genuinely helps, and how to prototype and ship it responsibly, live over Zoom with peers from Kankarbagh and beyond. This isn't a course about adding a chatbot — it's about scoping AI-native features properly.

Curriculum breakdown

Module 1: Scoping AI features

Frameworks for Kankarbagh PMs to decide where AI genuinely solves a user problem versus where a simpler rule would do.

Topics covered

• Problem-first scoping frameworks
• Build-vs-buy decisions
• Risk and failure-mode mapping

Module 2: Prototyping with no-code and LLM APIs

Hands-on prototyping for Kankarbagh PMs using no-code tools and direct API calls, no engineering team required.

Module 3: Designing UX for uncertainty

Interaction patterns for Kankarbagh product teams building features where the model's output isn't always predictable.

Topics covered

• Confidence and fallback UX patterns
• User trust and transparency design

Module 4: Metrics and evals before launch

Defining success metrics and evaluation criteria before a feature ships, not after.

How the cohort runs

Format and schedule

Live, remote cohort

Fully remote and open to Kankarbagh PMs and founders anywhere — no coding required, though comfort with basic technical concepts helps.

Who this course is for

Product managers building with AI

Kankarbagh PMs who need a structured framework rather than trial and error.

Founders scoping their first AI feature

Kankarbagh founders who want to validate an AI feature idea before committing engineering resources.

Outcomes and support

Capstone project

Kankarbagh students scope and prototype a real AI feature by the end of the cohort.

Tools used in class

No-code prototyping tools plus OpenAI/Anthropic APIs

Hands-on exercises for Kankarbagh students, not just theory.

Note

No prior coding background required — the course focuses on product judgment, not implementation syntax.

Quick answer

The AI-First Product Management Course in Kankarbagh teaches product managers and founders how to scope, prototype and ship AI-native features using structured frameworks, not just bolt a chatbot onto an existing product. It's for Kankarbagh PMs who want a repeatable way to decide where AI actually solves a problem, and founders who want to validate an AI feature before committing engineering time — worth it if you want product judgment, not just tool tutorials.

How this compares to a generic PM bootcamp

• Focused entirely on AI-native product decisions — scoping, prototyping and evals — instead of general PM fundamentals that treat AI as an afterthought
• You prototype with real no-code tools and LLM APIs during the cohort, rather than only discussing frameworks in slides
• Taught by someone who scopes and ships AI features for clients, not a bootcamp instructor without production AI experience
• A capstone where Kankarbagh students scope and prototype a real AI feature, not a generic case study everyone in the cohort shares

Why Kankarbagh product teams choose Deepak Suhag

Taught by someone who scopes and ships AI features for clients, not just teaches the theory behind them.