AI Product Leader & Builder

You have the idea, the vision, the drive, the strategy, but what do you do when someone asks, “Can you show me what you mean?” You are left with slides, a mockup, or a request for engineering time you may not get for months.
AI coding tools have changed what a Founder or a PM can do, and more teams now expect to see a working version of an idea before approving it. Many PMs feel that pressure and have no safe way to start. Open a coding tool alone and you get a half-working app, error messages you cannot read, and no way to judge whether the output is right.
This course closes that gap. You bring your own idea. Over five live sessions you scope it, write the spec, build the flow, add one AI feature, test it, deploy it, and put it in front of real users. You do the PM thinking and Claude Code does the typing. I build live with you and help when you get stuck, which is the part most tutorials skip.
You leave with a prototype build that you can demo, the artifacts behind it, and a repeatable way to test your next idea without waiting for engineering capacity.
Build a deployed, user-tested prototype of your own idea and gain the confidence to show stakeholders a working product.
Use the scoping canvas to pick one user, one job, one flow, and one AI feature
Write a kill list to keep your prototype small enough to finish in five sessions
Choose from a starter project menu if you arrive without an idea
Draft a build spec with acceptance checks, then critique it with Claude
Give Claude Code your product context and constraints in a CLAUDE.md file
Break the build into small steps with an increment plan and plan mode
Build alongside me live, committing after each working step so you can roll back safely
Prompt Claude Code for outcomes and keep each change small and testable
See a worked example from Fantartistic, a milestone art product built with AI
Connect an AI feature to your flow using your own Anthropic API key
Write down what a good output looks like before you test it
Break your prototype on purpose in the live debug clinic, then fix it with Claude
Write 10 test scenarios, run them, and log what fails
Review Claude’s output at a PM level, including security and privacy basics
Deploy your prototype to a shareable link
Run a 15-minute feedback session with 1 to 2 people using a ready-made script
Synthesize themes and rank fixes by impact and effort
Demo your prototype and leave with a prioritized roadmap

AI Product Leader (Oracle, S&P Global, Weill Cornell) | AI Strategist & Founder
Product managers who can define a product clearly and want to build one.
Founders and product-minded professionals validating an idea before involving engineers
Anyone who wants to build prototypes with AI. Experience with AI chat tools is enough. Coding experience is not required.

Live sessions
Learn directly from Priyanka Shetty in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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6 live sessions • 12 lessons • 4 projects
Live sessions
Projects
Async content
Nov
12
Module description: You arrive with up to three loose ideas. You leave with one scoped idea, a kill list that protects it, a one-page spec, product context for Claude Code, and a landing page that states the promise. You complete part 1 of the Prototype Kit in this session.
Nov
13
Live Session 1: Scope and Spec
Lesson 1.1: Scope to one user, one job, one flow, one AI feature
Lesson 1.2: Write your kill list and one page build spec
Lesson 1.3: Give Claude your product context and ship a landing page
Project 1: Scope It - From Loose Idea to a Buildable Brief
You start with a spec and finish with a complete working flow, real data, and one AI feature with a written definition of a good output. You complete part 2 of the Prototype Kit.
Lesson 2.1: Plan in increments, use plan mode, and save your work
Lesson 2.2: Prompt for outcomes, finish the flow, and debug with a playbook
Lesson 2.3: Add data and one AI feature with a quality bar
Project 2: Build It - From Spec to Working Flow
Nov
21
Nov
16
You start with a working prototype on your laptop and finish with a log of ten test scenarios, a PM-level security and privacy review, and a deployed link that opens on a second device. You complete part 3 of the Prototype Kit.
Nov
19
Live Session 3: Test and Deploy
Lesson 3.1: Write and run ten test scenarios
Lesson 3.2: Review Claude's output at a PM level, with security and privacy
Lesson 3.3: Deploy to a shareable link
Project 3: Test It - From Laptop to Shareable Link
You start with a deployed link and finish with feedback from a real user, a prioritized fix list, a roadmap with your next three steps, and a short demo. You complete part 4 of the Prototype Kit.
Nov
20
Live Session 4: Learn and Plan
Lesson 4.1: Run a 15-minute feedback session
Lesson 4.2: Turn feedback into themes and priorities
Lesson 4.3: Plan your next three steps and present your demo
Project 4: Learn From It - Capstone Demo and Roadmap
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