Maven: AI product management course by Cursor and Anthropic practitioners

“AI Product Management,” taught by Rohan Varma and Henry Shi on Maven, is a cohort-based course for product managers who want to go from understanding AI concepts to building actual products end-to-end. Varma is a product leader at Cursor — the AI code editor — and a former YC founder with multiple funded startups behind him. Shi is a member of the technical staff at Anthropic and co-founder of Super.com, which reached over $200 million in annual revenue.

The course is organized around what the instructors call the 4D Method: Discovery, Design, Develop, Deploy. Rather than treating AI as a feature to add to an existing product, the curriculum centers on identifying problems that genuinely benefit from AI and validating those problems before committing to a solution. The program includes 12 live sessions and 40 asynchronous lessons spread over roughly seven weeks, with a capstone project in which students build out a complete AI PRD.

Who it is for

The course is aimed at mid-to-senior product managers who already understand core PM processes and want to develop working knowledge of AI product development cycles — from scoping the right opportunity through to launch and post-launch evaluation. It is not an introduction to product management, and it does not require prior technical experience. It is not a good fit for PMs looking for deep technical depth on model architecture, fine-tuning, or infrastructure — the focus stays at the product level.

What it covers

The curriculum moves through opportunity identification and validation frameworks, AI PRD development, risk assessment for AI products, and launch strategies. Students work with actual AI tooling throughout rather than abstract case studies.

What sets it apart

One distinguishing aspect of the course is the instructors’ current roles. Varma is actively building products at a company whose entire product is an AI coding environment. Shi operates at the model provider level at Anthropic. The course materials appear to draw from current practice at these organizations rather than from retrospective industry examples.

The next public cohort runs June 22 through August 9, 2026. Earlier cohorts have sold out, so enrollment may require joining a waitlist. Pricing is not listed on the public course page, but team enrollments of ten or more participants are eligible for a discount.