AI PM Accelerator
The only program where product managers design, build, and ship a live AI product with real frameworks, real tools, and a real URL to show for it. No theory dumps. No certificates. Proof of work.
Instructors
As bonus, you also get
4 Product case studies with assignment
$60 Value
30 interview questions and answers from top companies
$50 Value
2 hours of video call for doubt clarification
$85 Value
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 an AI product and here's the URL." That's what this program installs in 8 weeks.
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, a product manager who ships AI products at work every day and runs the JustAnotherPM newsletter read by thousands of PMs.
He built the program he wished had existed when he made the transition to AI PM. Every framework was developed through real product work before the course existed. Every module was pressure-tested with 40 students in Cohort 1. Every week moves you closer to a live, deployed product.
By Week 6, you're writing code with AI tools (Claude Code, Lovable, Cursor). By Week 8, your product is live at a real URL and you're presenting it on Demo Day.
Most AI courses give you slides. This one gives you a shipped product, the frameworks to talk about it, and the technical fluency to never feel lost in an AI conversation again.
- 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.
Week by Week
8 Weeks. Live Sessions. One Shipped Product.
01 Foundations
The AI PM Role
The 7 Questions Framework. The 4 Pillars of AI PM. Why AI PM is fundamentally different from traditional PM, and how to think probabilistically.
02 Technical Literacy
Basics of AI
How LLMs actually work. RAG vs. fine-tuning. Agents. Context engineering. Enough technical depth to sit in any engineering meeting and ask the right questions.
03 Opportunity Assessment
Do We Need AI?
The 6 AI Patterns. The 5-Gate AI Decision Framework. Red Flags. The AI Cost Iceberg. Learn to say "no" to AI when it doesn't fit.
04 Product Thinking
AI Product Sense
Teardown real AI products. Ideate your own build project. Structured ideation exercises to find a buildable, meaningful product idea.
05 Product Design
Design & Evals
The AI-First PRD Template. The Eval Framework. Quality examples as the heart of your spec. Define what "good enough to ship" means.
06 Vibe Coding
Build with AI Tools
Ship a working thin slice with Lovable, Claude Code, and Cursor. No prior coding experience required. The AI writes code. You direct the product.
07 Reliability
Testing & Launch
5-step testing loop. 4 pre-launch audits (security, code quality, prompt injection, cost/latency). Launch readiness checklist.
08 Launch
Demo Day
Present your live product. Real URL. Real users. A portfolio piece you'll reference in every interview and stakeholder conversation from here.
Everything You Get
The Grand Slam Offer
8 Live Sessions (2hrs each) → $2,400
Weekly live instruction, Q&A, product teardowns
6 Proprietary Frameworks → $1,500
7 Questions, 6 Patterns, PRD Template, Eval, 5-Gate, Cost Iceberg
Full Build Stack Access → $800
Claude Code, Lovable, Helicone, OpenRouter credits + setup guides
32+ Pre-read Documents → $600
Deep technical primers, case studies, and exercises for each week
Cohort Slack Community → $500
Direct access to Sid + peer support, build help, resource sharing
Guest Expert Sessions → $400
Aatir Abdul Rauf (vFairs) on GTM, Jyothi Nookula (ex-Netflix) on Evals
Lifetime Access to Materials → $1,200
All recordings, frameworks, templates, and future cohort community
A Shipped AI Product → Priceless
Live URL, portfolio piece, proof of work for interviews and L&D
Total standalone value → $7,400+
Your investment: fraction of that
You're not paying for a course. You're paying to stop being the PM who nods along in AI meetings and starts being the PM who ships AI products. Every month you wait is another month of falling behind.
Enroll Now →
Cohort 1 Results
They came in with zero AI build experience. They left with shipped products.
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
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
I frankly didn't know that I would be able to build AI products in less than two weeks. The whole curriculum is detail oriented and has a proper path.
Nikesh · PM
No professional achievement came closer to knowing how to build something on your own. Actually going there and taking the first step was what really mattered.
Yashaswini · PM
By the end, I walked away with something I'm really proud of, a working application that showcased my ability to think and work with AI. If you're a PM trying to get serious about AI, this course is the real deal.
Jerel · PM, UK
Before this course, I felt scattered. Bits and pieces of knowledge but no coherent framework. This course brought structure to everything and gave me a way to think about AI PM that feels durable.
Natalie · PM, London
Products Shipped by Cohort 1 Students
Every one of these was built from scratch by a PM with zero prior coding experience.
🏠 Transform Home — AI room redesign from photos
📄 Invoice Read — AI invoice processing
📚 LearnDeep — AI study buddy for students
🔧 AxleWise — Automotive diagnostics AI
🎨 Brand Alchemist — AI brand creative generator
🤝 Proactive Client Engagement — AI customer automation
Limited Enrollment
35 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 2 is capped at 35 students. When spots fill, enrollment closes until Cohort 3.
~90% of Cohort 1 students got the program reimbursed through their employer's L&D budget. Ask your company. The ROI case writes itself: you leave with a shipped product, 6 frameworks, and the ability to lead AI initiatives.
35 Total Seats | 8 Weeks | 4-6 Hrs / Week | 1 Shipped Product
Enroll Now →
Common Questions
"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, a shipped product 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 outside live sessions. 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? Every month you wait is another month of being the PM who watches AI happen to their product instead of driving it.
"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. The goal is technical fluency, not depth. By Week 2, you'll understand RAG, fine-tuning, and agents well enough to ask the right questions in any engineering meeting. By Week 6, you're building with AI tools that write the code for you. You direct. The AI executes.
"I don't have a product idea."
Good. Week 4 includes structured ideation exercises. The filter is simple: a problem you have personally, a narrow user, a clear input and output. You don't need a world-changing idea. You need something specific enough to build in 2-3 weeks. Cohort 1 students built everything from invoice readers to AI diet coaches. The idea matters less than the process.
"Can my employer pay for this?"
Yes. ~90% of Cohort 1 students got reimbursed through employer L&D budgets. You leave with a shipped product, 6 proprietary frameworks, and the ability to lead AI product initiatives. The ROI case is straightforward. We can provide documentation to support your reimbursement request.
Stop reading about AI. Start shipping it.
Cohort 2 starts April 18. 35 seats. You'll leave with a live product, 6 frameworks, and the confidence to lead AI at work. Your move.
Enroll in Cohort 2 →
Module 1: Essence of product management
Meaning of Product Management: In this module, I help you understand the real meaning of product management. While every company and person defines product management, the essence of product management is the same. And unless you know what it is, you will not be able to master it. I cover multiple real-world examples to show you that products and PMs who get essence right always create world class products.
The role of product managers: what things PMs should focus on to do product management well. We share difference in the role of a PM, EM, Designer, and Project Manager.
Expectations from a PM: we share detailed examples of what other companies (big tech, startups, etc.) expect from the PMs. And how this changes the definition of success in different companies.
What does success mean for PMs: in the final section of this module, I share a clear and actionable definition of success. And then share a list of skills that are critical if you want to achieve the success you desire. We also cover a list of skills that is essential to succeed and progress in your career from a PM to SPM to GPM and so on.
Module 2: How to build products
In this module, I help you understand the entire product lifecycle, which is broken down into 4 phases.
Planning: This is where I define Vision, Strategy, and Roadmap. To make it clearer, I show you how I create all of these for a real-world product. Each sub-module has links to detailed documents with the Vision, Strategy, and the Roadmap.
Alignment: In this section, I show you the tricks to Identify, Communicate, Engage, Resolve Conflicts with critical stakeholders. We will dive deep into identifying those stakeholders that impact your success, and then learn the tricks to effectively communicate with each of them. We wrap this section up with some real-world examples of tough situations where effective communication plays an important role in drivig alignment.
Execution: this section introduces how PMs should partner with engineers to execute i.e. actually build the product that PMs envision in the planning phase. Execution is discussed in more detail in Module 3.
Measurement and improving: here we talk about the importance of setting the right success metrics. We walk through a very detailed step-by-step process. We end the section with setting success metrics for two real world examples (a social media app and a fitness app)
Also as part of this module, we create an actual vision statement, strategy document, and a roadmap. We also see how to prioritise this roadmap in real life.
Module 3: Build high quality software
In this module, we get technical. We show what it takes to build amazing software products and how to work well with engineers.
SDLC: we start this section by explaining the meaning fo SDLC (software development lifecycle)
Waterfall: then we dive deep into understanding the oldest SDLC methodology - Waterfall
Agile: in this section, we show you how to understand the real meaning of Agile, and how is it different than waterfall.
Phases in SDLC: in this section, we dive deep into the phasees of SDLC (Planning, Designing, Implementing, Testing, Maintainence) and show you through a real-life example of how each step is done.
Ceremonies: Each SDLC methodology has specific ceremonies (or meetings) that make it effective. We explain how each ceremony is structured, why is it important, and what do Product Managers do in each of the ceremony.
Tricks to succeed: In this section, we bring it all together and share some common tricks and tips to understand technology, SDLC, and most importantly to work well with engineers.
Module 4: Career growth
In the final module, we share exact steps that you need to define success and how to create a plan to be able to be successful. Both the instructors share their personal stories on how they started their career, the mistakes they made, and the lessons they learned
As bonus, you also get
4 Product case studies with assignment
$150 Value
30 interview questions and answers from top companies
$100 Value
2 hours of video call for doubt clarification
$150 Value
Categories
