Overview: AI-First Product Management Course in Haight-Ashbury

For Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury PMs using no-code tools and direct API calls, no engineering team required.

Module 3: Designing UX for uncertainty

Interaction patterns for Haight-Ashbury 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 Haight-Ashbury PMs and founders anywhere — no coding required, though comfort with basic technical concepts helps.

Who this course is for

Product managers building with AI

Haight-Ashbury PMs who need a structured framework rather than trial and error.

Founders scoping their first AI feature

Haight-Ashbury founders who want to validate an AI feature idea before committing engineering resources.

Outcomes and support

Capstone project

Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury students scope and prototype a real AI feature, not a generic case study everyone in the cohort shares

Why Haight-Ashbury product teams choose Deepak Suhag

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