Go from PM to AI PM in 5 Saturdays — with a portfolio to prove it.

No technical background is required. The course starts from first principles — we cover what AI, machine learning, and large language models actually are before moving into more advanced topics like RAG and AI Agents. Students from pure product management, business analysis, and non-technical backgrounds have all completed the course successfully and built working AI products by the end.

Plan for approximately 5 hours per week — 2 hours for the live Saturday session and 2-3 hours for the weekly assignment and portfolio activity. The assignments are practical and directly build your portfolio, so the time outside sessions is where a lot of the real learning happens. The course is designed for working professionals so the workload is deliberately manageable alongside a full-time job.

All sessions are recorded and available for 90 days after the cohort ends. We also provide written summaries and the full assignment brief after each session, so you won’t fall behind. That said, the live sessions include group activities and peer discussions that are hard to replicate from a recording — we recommend attending live where possible.

The course is specifically structured around building a job-ready AI product portfolio — the single most important asset for landing an AI PM role. By the end of 5 weeks you will have produced a market research document, user journey maps, wireframes, a working RAG chatbot or AI agent, a GTM strategy, and a full capstone case study. These are real artefacts you can share with recruiters and reference in interviews. Students have used these portfolios to transition into AI PM roles and pass technical interview rounds. You also get access to our referral network upon completion.

A full refund is available within the first week if you are not satisfied with the program structure and content. We want you to be confident in your investment — if, after the first session, the course isn’t the right fit, just get in touch, and we will process your refund promptly.

The course covers the full AI stack relevant to product managers: Machine Learning and Deep Learning fundamentals, Large Language Models (LLMs) and Foundation Models, Prompt Engineering techniques (RGCC, Chain-of-Thought, few-shot), Retrieval-Augmented Generation (RAG), Vector Databases, AI Agents and Agentic AI, multi-agent design patterns, frameworks like LangChain and CrewAI, Responsible AI and guardrails, and AI product evaluation frameworks (evals). All topics are taught from a product manager perspective — focused on decision-making, not engineering.

Most AI PM courses are either too theoretical or too technical. This cohort runs three parallel workstreams every session — AI concepts, product management frameworks, and a live portfolio activity — so you leave each Saturday with a real artefact, not just notes. The cohort format also means small group sizes (max 25 students), direct access to the instructor, and peer learning from professionals across different industries. Students consistently highlight the hands-on builds — including working AI chatbots and agents — as the biggest differentiator.

All tools used in the course are free or have generous free tiers. For building AI products we use n8n, Make, and Lovable. For diagrams and documentation we use Eraser.io, Gamma, and Napkin.ai. For the AI models themselves we work with OpenAI, Claude, and open-source alternatives via LlamaIndex and LangChain. No paid subscriptions are required to complete any session or portfolio activity.