A live cohort for product managers who are done reading about AI. You build your own AI Second Brain, a multi-agent app, and a product that's entirely your own idea — all live at real URLs, no engineering background needed.

First access to the 60 seats when the cart opens 20 October, at the lowest price of the launch — plus every detail before anyone else. Free to join, no obligation.
Six weeks, three products: your Second Brain from week one, a multi-agent app built together, and your own product shipped by Demo Day.
How AI products behave differently from normal software, the questions to ask at every stage, and how AI product decisions actually get made. You build your Second Brain in Claude Code — and study the course from it.
How an LLM produces an answer, and why it sometimes makes one up. RAG, prompts, embeddings, agents — and you build RAG into your own Second Brain, so you understand it in the real world.
Define what good means for your AI product, build a test set, use AI to grade AI outputs at scale, and deploy your product to a live URL.
Give AI access to real tools and live data, choose between one AI call, a pipeline, or multiple agents — and keep running costs sensible.
One real-world app, built end to end together: agents that reason, use tools, and work independently — even when you sleep.
Cut your own idea down to a version you can ship, take it live, and demo it to the entire cohort.
By the final session you don't have notes and a PDF. You have three working products and the exact IP to talk about them in any room.
Developed and used in production before the course existed, then tested with 80+ PMs across three cohorts.
From what-problem-should-we-solve to how-do-we-keep-making-it-better — the decision model behind every product students shipped.
Probabilistic? Data ready? Pattern match? Error tolerance? ROI? Five gates that stop you building AI for problems that don't need it.
A 9-section spec built for probabilistic products — quality examples, eval dimensions, error handling, model-degradation contingency.
Dimensions → test cases → 1–4 scoring → LLM-as-judge → a Golden Set that defines great. The skill most AI courses skip.
Unedited words from past cohorts — Demo Day and post-course feedback. Not cherry-picked one-liners.
“Sid's course design and his ability to meet you at your level — no matter how technical you are or aren't — was incredible. I got hands-on experience with product planning, vibe coding, testing my product, and deploying it to a live URL.”
“My French is better than my SQL and I don't even know French. For a person like me with not a lot of notion of tech to be building something from scratch — it's all thanks to this course.”
“I was immediately able to create a prototype that's getting passed to designers at work. It had immediate value — and I got put on higher-visibility projects directly after that because of it.”
“I didn't know that AI products I would be able to build in less than two weeks. The best part is the pre-reads are genuinely helpful — and Sid answered me even in his late-night hours.”
“I personally learned a lot and applied some of these ideas at work. The theoretical depth was super helpful — it's what helps you get it right and avoid fundamental mistakes.”
“I've never been a developer in my life — not a single line of code. I never believed I would build something. Thank you for instilling that belief and trust.”
“No professional achievement came as close as the joy of building the app on your own — that too for a problem so close to your heart. Taking that first step was what really mattered.”
“Before this course I felt scattered — bits and pieces of knowledge, no coherent framework. It brought structure to everything and gave me a durable way to think about AI product management.”
“You bring the right blend of theory and practical knowledge — that's been the best takeaway. Every single person in this cohort talks about how well you supported them. That speaks for itself.”
“I really appreciate the structure you bring to the teaching — it helps people like me learn on the side. I've been able to flex some of the knowledge at the office and get real benefits from it.”
“Before this I just knew the words. Now I've got hold of the terminology and can relate it to the real world — theory through the pre-reads, then building from scratch with real tools. Skeptical about content, tools or pricing? Don't think twice — talk to Sid and jump in.”
“I was a traditional PM — tests passed or failed. AI products are different: the same input can give different outputs. This bootcamp bridged that gap and gave me the confidence to manage AI products without flying blind.”
“The real learning was the group — different ideas coming together, challenging your preconceived notions. And the critical distinction of where to apply AI and where not: what a prompt can achieve versus when the product actually needs AI. I keep using that mindset at work.”
“Before this course I had a high-level understanding of AI but hadn't built something myself. I built a health advocacy application, got beta testers, and even started showing it to doctors. I feel confident as a Product Builder and a Product Leader now.”
“As a PM working on cutting-edge products, I still had gaps in my AI product knowledge. This course filled most of them — it takes you from starter level to confidently building product prototypes. I'd recommend it to anyone in my shoes.”
“What surprised me most wasn't how technical it was — it was how much good PM thinking transfers once you know where to apply it. Evals aren't a QA step you tack on at the end; they're a product decision you make before you build anything.”
“Among the most well-structured and carefully curated AI PM programs I found — I compared six or seven alternatives before choosing it. Strongly recommended for anyone wanting to learn AI from the basics through to real-world implementation.”
“This course helped me build a mental model and a framework to ship AI products to production — using Claude Code, evals, and best practices on when and when not to use AI. The live sessions were game changers.”
Every product below was built and deployed by a PM in a past cohort — no engineering background, no code written by hand. Press play.
One live session a week, recorded within 24 hours. Plan for about 4–6 hours a week: the live session, short pre-reads, and building.
Led by Sid — teaching, product teardowns, hands-on building, and open Q&A. Two timezone slots each week: North America, and Europe/India — attend either. Every session recorded.
Short, practical reads (10–20 min) before each session that give you the vocabulary to get the most out of the live time.
Every session ends with a concrete artifact — a teardown, a PRD section, a test set, a working thin slice. These are your product and portfolio.
Live for the whole program and beyond. Sid is active between sessions. Build help, PRD feedback, peer review.
At least two guest sessions in Cohort 4. Past cohorts had a dedicated session on evals in production, from a practitioner who ran them at scale.
Every recording, framework, template, and pre-read — plus the cohort community across every cohort, forever.
The lowest price of the entire launch is reserved for waitlist members — revealed the moment the cart opens on 20 October, before it goes public.
Cohorts this small sell out from the waitlist. Join now and when the cart opens 20 October you get the link first — at the early-bird price that only goes up from there.
Join the waitlistNo. 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. Being comfortable reading code helps, but past students who had never written a line of code shipped working products.
The cart opens 20 October to 60 seats — waitlist members get the link first. The first live session is Friday 31 October, and the course runs 6 weeks.
Three things: first access to the cart before it's public, the lowest (early-bird) price of the launch, and every detail — full curriculum, behind-the-scenes on how the cohort is being built, and a free framework or two before the cart opens. Joining is free with no obligation to enroll.
The waitlist locks the early-bird price, revealed when the cart opens on 20 October. Joining the waitlist is free — you'll see the number before anyone else and decide then.
Roughly 4–6 hours a week: ~1.5–2 hours live, 30–60 minutes of pre-reads, and 2–3 hours of building. The build weeks are the most intensive. Every session is recorded, so you can catch up.
We run two sessions each week — one that works for North America and one for Europe and India. You attend either. Exact timings are confirmed at enrollment, and every session is recorded.
No, but it helps. There's a structured ideation exercise to find a buildable idea — a problem you have, a narrow user, a clear input and output. If you already have one, you'll pressure-test it against the 5-Gate framework.
Three live, deployed AI products at real URLs — your Second Brain, a multi-agent app, and your own product. Plus a completed AI-First PRD and Eval Framework, a 2–3 minute demo video for job applications, and the frameworks (7 Questions, 6 AI Patterns, 5-Gate) you can apply at work immediately.
Fastest way is to message Sid directly on WhatsApp — he reads and replies himself.
Join the waitlist — first access to 60 seats, the lowest price of the launch, and every detail as the cohort comes together.
Join the waitlistStill deciding? Ask Sid anything on WhatsApp →