The Problem

You're reading about AI every day. And you still can't build anything.

You watch YouTube videos. You read newsletters. You take notes in meetings about "AI strategy." And yet when someone asks you to lead an AI initiative, you freeze. Because consuming content and shipping products are two completely different skills.

"I was consuming a lot of AI content on YouTube and online but I felt scattered. I had bits and pieces of knowledge, but no coherent framework to tie it all together." — Natalie, PM, London

"I am only aware of a few terminologies and not confident to decide on the usage of AI. Not able to provide any opinion during technical discussions for AI features." — Anuradha, PM, Pune

"I had a PM job with a legacy tech stack. Examples of my work do not resonate in interviews. I need to build a portfolio to showcase AI native skills." — Milo, PM, Connecticut

"All reading and no hands-on practice. I would love to finish with having built at least 1 AI product and a solid ground for my knowledge base." — Rüya, PM, Istanbul

"Not getting interview calls. I need to improve my skills and build a portfolio." — Neeraj, PM, Netherlands

"My current company provides only limited opportunities to evolve as AI PM. I want to build an AI product portfolio so I can move to an AI native company." — Justin, PM, Detroit

The problem isn't effort or intelligence. You don't lack motivation. You lack an operating system. A structured way to go from "interested in AI" to "I shipped AI products and here are the URLs." That's what this program installs in 6 weeks.

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The Solution

This isn't a course about what AI is. It's a build program.

The AI PM Accelerator was built by Sid Arora, Head of Product for Gen AI at Yelp and creator of JustAnotherPM, whose free and paid content has reached 70,000+ PMs. Building AI products is his day job — the decisions this course teaches are the decisions he makes every week.

He built the program he wished had existed when he made the transition to AI PM. Every framework was developed through real product work and refined across three cohorts. He runs every live session himself and personally reviews every student's product — no TAs, no outsourced feedback.

You build from Week 1 with Claude Code — you describe what you want in plain English, it writes the code, and you direct it the way a PM directs a team. By Demo Day you have three live AI products at real URLs: your own AI Second Brain, a multi-agent application, and a product that's entirely your own idea.

• 7 Questions Framework: The operating model for every AI product decision. Used from Week 1 through Demo Day.
• 6 AI Patterns: Pattern-matching tool for spotting where AI fits on any product roadmap.
• AI-First PRD Template: 9-section product spec built for probabilistic products. Not your standard PRD.
• Eval Framework: How to define, measure, and maintain output quality for any AI product.
• 5-Gate Decision Framework: Binary pass/fail gates that prevent you from building AI that shouldn't exist.
• AI Cost Iceberg: The 80% of AI costs that sit below the waterline and kill your ROI.

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The Three Products You Build

You don't leave with a certificate. You leave with three live URLs.

1. Your Second Brain (Weeks 1–2) — a personal AI knowledge base that answers from your own notes and documents. You build it in Week 1 and study the course itself from it. It's the running example for every core concept: prompting, RAG, evals, going live — and it keeps working for you after the course ends.

2. A multi-agent application (Week 3) — a real-world app built end-to-end together: agents that reason, use tools, and work independently, even when you sleep. The exact build is set with the cohort at kickoff.

3. Your own product (Weeks 4–6) — you scope your own idea, write the AI-First PRD, build evals, automate testing end to end, ship it to a live URL, and demo it to the entire cohort.

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Week by Week

6 Weeks. Live Sessions. Three Shipped Products.

01 The AI PM Role‍

Understanding the AI PM role

How AI products behave differently from normal software, and what that changes about your job. The questions to ask at every stage, the four common ways AI projects fail, and how to prioritise an AI roadmap. You build your own Second Brain with Claude Code.

02 Fundamentals of AI‍

How AI actually works

How an LLM produces an answer, and why it sometimes makes one up. RAG, embeddings, prompts that get reliable results, and what an agent can and can't do. You build RAG into your Second Brain — so you understand it in the real world, not just in theory.

03 Evals and the Multi-Agent Build‍

AI product sense, evals, and your first multi-agent app

Take apart any AI product, write an AI-First PRD, and define what "good" means with an eval set and an LLM judge. Then build a multi-agent application together, live: which agent does what, how they hand work to each other, and how to make sure each one does its job well. Guest session on evals in production.

04 Build with Claude Code

From PRD to a working product

Take your own product idea from PRD to a working thin slice. Milestone-based building, observability for every AI call, and the habits that stop AI-written code from spiralling.

05 Testing and Launch

Make it reliable, then ship it

Build a test set, run the testing loop, complete four launch audits (security, code quality, prompt injection, cost and latency), and deploy to a live URL. Building and automating good evals is the most important PM skill of the decade.

06 Launch

Demo Day

Present your live product to the cohort and get structured feedback from peers and Sid. Real URL. A demo video. A portfolio piece you'll reference in every interview from here.

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Everything You Get

What's inside Cohort 4

6 Live Sessions with Sid (2 hrs each)
‍Two time slots every week — one for North America, one for Europe & India. All recorded and shared within 24 hours.

Three Shipped AI Products
‍Your Second Brain, a multi-agent application, and your own product — live at real URLs you can send to anyone.

The Complete Framework Stack
‍7 Questions, 6 AI Patterns, AI-First PRD, Eval Framework, 5-Gate Decision Framework, AI Cost Iceberg — developed in real product work, refined across three cohorts.

Weekly Pre-reads + 25 Templates & Artifacts
‍Deep technical primers before each session, and every framework as a ready-to-use artifact for your own repo.

Cohort Slack Community
‍Direct access to Sid between sessions, build help when you're stuck, and peers reviewing each other's PRDs and products.

Guest Expert Sessions
‍At least 2 in Cohort 4 — including practitioners who run evals in production. All recorded.

One Month of Claude Reimbursed
‍Sid reimburses one month of your Claude plan, plus guidance on keeping build costs minimal.

Lifetime Access
‍All recordings, frameworks, templates and pre-reads — plus the alumni community across all past and future cohorts.

You're not paying for a course. You're paying to stop being the PM who nods along in AI meetings and start being the PM who ships AI products. Every month you wait is another month of falling behind.

Enroll Now →

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Alumni Results

They came in with zero AI build experience. They left with shipped products.

Throughout the course, I not only learned a core framework on when to use AI in a product, but how to then build that idea and a landing page for it. I was able to create a health advocacy application, get beta testers and even start to show to doctors! I feel confident as a Product Builder and a Product Leader now.

Lauren · PM

Sid's course takes you from a "starter" level to a stage where you feel confident about building product prototypes using vibe coding. I would recommend this course to anyone in my shoes.

Ram · PM

The moment that clicked for me was when I realised evals aren't a QA step you tack on at the end, they're a product decision you make before you build anything. Not magic, not guesswork. Structured thinking applied to a new medium.

Maitreyi · PM

Sid's course design, his ability to coach people and meet you at your level (no matter how technical you are or aren't) was pretty incredible. I got hands on experience with using AI to do product planning, test case writing, vibe coding, testing my product, and even deploying it to a live URL.

Sheila · Product Leader

I was immediately able to much more quickly create a prototype that's getting passed to designers at work. Other people were asking me how I did it. I got put on higher visibility projects directly after.

Milo · PM, Connecticut

For a person like me who has not a lot of notion of tech to be building something from scratch, it's all thanks to this course. I'm taking paternity leave next month. I think I'll just spend all of it building more apps.

Tushar · PM, Luxembourg

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Products Shipped by Alumni

Every one of these was built from scratch by a PM with zero prior coding experience.

🔧 AxleWise — Stop guessing with car repair bills

📚 LearnDeep — every subject explained until you actually get it

🍽️ Eatbit — snap it, say it, know it: instant nutrition breakdown

📄 Invoice Read — flags what needs fixing, with a record of every check

🏠 Transform Home — see your renovation before you pay for it

🎨 The Brand Alchemist — on-brand posts in 15 seconds

🤝 Proactive Client Engagement — the right client conversation, instantly

Limited Enrollment

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60 seats. One cohort. Then the doors close.

The live format, the direct access to Sid, and the individual product feedback require a small group. Cohort 4 is capped at 60 students. When spots fill, enrollment closes.

Cohort 4 list price: $1,500 USD. The cart opens October 20, 2026 — waitlist members get first access — and the first live session is October 31, 2026.

~90% of Cohort 1 students got the program reimbursed through their employer's L&D budget. Ask your company — we provide documentation to support your request. The ROI case writes itself: you leave with three shipped products, the complete framework stack, and the ability to lead AI initiatives.

60 Total Seats | 6 Weeks | 4-6 Hrs / Week | 3 Shipped Products

Enroll Now →

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Common Questions

What is the AI PM Accelerator?

A 6-week, live, cohort-based program for product managers who want to design, build, and ship real AI products. You leave with three working products on live URLs, including one that is entirely your own idea, plus a practical framework for AI product decisions. Built and taught by Sid Arora, Head of Product for Gen AI at Yelp.

How much does it cost?

Cohort 4 has a list price of $1,500 USD. Enrollment opens October 20, 2026, and the first live session is October 31, 2026. About 90% of Cohort 1 students were reimbursed through their employer's learning budget, and documentation is provided to support your request.

Who is this course for?

Aspiring and existing product managers with at least 3 years of total work experience who feel behind on AI, use ChatGPT or Claude daily but have never built an AI product, work at a company with AI on the roadmap, or are targeting an AI PM role and need credible proof of work.

Who is this course NOT for?

It is not a fit if you want a pure ML engineering course, are brand new to product management, want a self-paced certification with no live interaction, or cannot commit 4–6 hours per week outside the live sessions.

Is there a refund policy?

Yes. Refund terms are shared at enrollment, when the cart opens on October 20, 2026.

What tools will I use?

Claude Code from Week 1 as the build tool, GitHub and Vercel for deployment to a live URL, Supabase and Clerk for data and sign-in, Langfuse for observability of every AI call, and Claude for testing and as an LLM judge. Most have free tiers, and Sid reimburses one month of your Claude plan.

"I can learn AI for free online."

You can learn about AI for free. You can watch every YouTube video, read every newsletter, take every free course. And you'll still have zero products to show for it. Free content gives you knowledge. This program gives you an operating system: frameworks you take into your job on Monday, three shipped products for your portfolio, and the technical fluency to lead AI conversations instead of sitting through them. Knowledge without application is a hobby.

"I don't have time for this."

The program requires 4–6 hours per week: the live session, short pre-reads, and the week's build. That's less time than you spend consuming AI content that doesn't move the needle. The real question: how much time are you losing every week by not having these skills?

"I'm not technical enough."

Tushar said his French was better than his SQL and he doesn't even know French. He shipped a product. You build with Claude Code — you describe what you want in plain English, it writes the code, and you direct it the way a PM directs a team. By Week 2, you'll understand RAG, embeddings, and agents well enough to ask the right questions in any engineering meeting. Past students who had never written a line of code shipped working products.

"I don't have a product idea."

You don't need one on day one. You pressure-test ideas against the 5-Gate Framework in Week 2, write the full spec in Week 3, and build in Weeks 4–6 — and by then you'll have already built two products, so you'll know exactly what's possible. The filter is simple: a problem you have personally, a narrow user, a clear input and output.

"What about my time zone?"

We run two sessions each week — one that works for North America and one for Europe and India. You attend either. All sessions are recorded and shared within 24 hours.

"Can my employer pay for this?"

Yes. ~90% of Cohort 1 students got reimbursed through employer L&D budgets. You leave with three shipped products, the complete framework stack, and the ability to lead AI product initiatives. The ROI case is straightforward. We provide documentation to support your reimbursement request.

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Stop reading about AI. Start shipping it.

Cohort 4 starts October 31, 2026. 60 seats. The cart opens October 20. You'll leave with three live products, the complete framework stack, and the confidence to lead AI at work. Your move.

Enroll in Cohort 4 →

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