Maven: AI Product Management Bootcamp & Certification by Dr. Marily Nika

Dr. Marily Nika, Gen AI Product Lead at Google, teaches this 6-week cohort-based program on Maven. Nika holds a PhD in Machine Learning and has worked at both Google and Meta, which shapes the course’s emphasis on production AI systems rather than theoretical concepts. She has taught over 20,000 students across her programs, and this bootcamp is the most intensive option in her catalog.

What the course covers

The program runs 65 lessons spread across six weeks, with over 25 hours of live instruction. The curriculum moves through AI literacy for product managers, hands-on practice with current tools (ChatGPT, Gemini, Claude), end-to-end product development methodology for AI features, and a capstone project. In the capstone, participants build and ship a real AI product, working alongside an assigned software engineer. Participants who complete the program receive a certification and are eligible to pitch their capstone project to a panel that includes venture capital investors.

Who it is for

The bootcamp targets three audiences: product managers who are transitioning into AI-focused PM roles and need practical depth, job seekers building a portfolio that demonstrates AI product work, and engineers or data scientists moving into PM roles. It assumes some professional experience — either in product or in a technical adjacent role. This is not an entry-level introduction to what AI is.

How it differs from the AI PM 101 course

Nika offers a shorter 2-week course (AI Product Management 101) separately. The bootcamp adds significantly more contact time, the capstone project with an assigned engineer, 1:1 feedback from Nika, VC pitch access, and a formal certification. For candidates who need a credential or a portfolio piece, the bootcamp justifies the higher investment. For PMs who want a broad orientation, the 101 course is the more efficient choice.

Limitations

The $2,300 price point is a meaningful commitment. The 4–6 hour weekly time requirement over six weeks is substantial for anyone in a demanding full-time role. Because cohorts are scheduled (with upcoming start dates in April, May, and September 2026), the course does not fit self-paced learners who need flexibility in timing.

The program covers breadth across product development with AI rather than depth in any single discipline. PMs who already have hands-on experience shipping AI features may find portions of the curriculum review rather than new territory.