AI-First Product Management — build products the AI-native way.
Product strategy, prompt-driven prototyping and AI feature scoping for PMs who want to lead, not follow.
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Most PM courses still teach roadmaps for a pre-AI world. This one teaches you to scope, prototype and ship AI-native product features — with the same rigor as any other product decision.
Course outcomes
Every module ships with a working tool or template you keep using after class.
Scope AI features properly
Frameworks for deciding where AI genuinely helps versus where it's a distraction.
Build clickable AI prototypes fast
No-code and LLM-API prototyping so you can test ideas in days, not sprints.
Design UX for uncertainty
Patterns for confidence scores, fallbacks and human-in-the-loop flows.
Ship a real AI feature case study
A portfolio-ready case study from scoping to launch metrics.
Why AI-first, not AI-added
Bolting a chatbot onto an existing product isn't AI strategy. This course teaches you to identify where AI genuinely changes the user experience, and how to scope, prototype and ship it responsibly.
Who this is for
- Product managers who want to own AI features, not hand them to engineering
- Founders building AI-native products
- PMs preparing for AI-focused product roles
Quick answer
AI-First Product Management is a 6-week course teaching PMs to scope, prototype and ship AI-native features responsibly. It's for product managers, founders and PMs targeting AI-focused roles, and it ends with a portfolio-ready AI feature case study, not just frameworks on slides.
How this compares to a generic product management certification
- Generic PM certifications teach roadmaps and prioritization built for a pre-AI world; this course teaches how to scope AI features specifically, including confidence scores and human-in-the-loop design
- You build clickable AI prototypes with no-code tools and LLM APIs in class, not just discuss frameworks on slides
- The capstone is a real AI feature scoped and prototyped end to end, not a generic case study
- Evaluation and metrics for AI features are taught explicitly, something most PM certifications skip entirely
What you'll walk away with
- Frameworks for deciding where AI genuinely helps a product versus where it's a distraction
- A working clickable AI prototype built with no-code tools and LLM APIs
- UX patterns for confidence scores, fallbacks and human-in-the-loop flows
- A portfolio-ready AI feature case study from scoping through launch metrics
- Comfort defining success metrics and evaluation criteria before a feature ships
Week-by-week breakdown
A clear, transparent syllabus — no surprises.
PM fundamentals for AI products
What changes — and what doesn't — when your feature involves a model.
Scoping & feasibility
Deciding what's buildable, what's safe, and what's worth building.
Prototyping with no-code + LLM APIs
Get a working prototype in front of users fast.
Metrics, evals & launch
Define success metrics and evaluation criteria before you ship.
01Do I need a technical background?
No coding required, though comfort with basic technical concepts helps.
02Is this for PMs only?
Primarily, but founders and designers making AI product decisions get value too.
03What tools do you use in class?
No-code prototyping tools plus OpenAI/Anthropic APIs for hands-on exercises.
04Is there a capstone project?
Yes — you'll scope and prototype a real AI feature by the end of the cohort.
05How much does this course cost?
₹16,999 for the full 6-week Intermediate-level cohort, including hands-on prototyping tools and API credits used in class exercises.
06Is this worth it compared to reading AI product blogs or free frameworks online?
Blogs and free frameworks explain concepts in the abstract; this course has you scope, prototype and ship an actual AI feature with instructor feedback, which is the part self-study can't replicate.
07Do I need a technical or engineering background?
No coding is required — this is an Intermediate-level PM course, so basic product management experience helps more than technical depth.
08Do I get a certificate?
Yes, you receive a certificate of completion along with your capstone case study, which is the stronger proof of skill for job applications.
09What if I fall behind during the 6 weeks?
Sessions are recorded with lifetime access, and the capstone timeline has built-in buffer weeks so you can catch up without missing the final project deadline.
10What career outcomes can I expect?
Graduates use this to move into AI-focused PM roles, lead AI feature launches at their current company, or make sharper build-vs-skip decisions as a founder — the capstone case study is designed to support all three paths.
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