What the course covers

Design, build, and validate a three-agent AI PM team you can adapt to your own product workflows. Know when a PM workflow should become agentic Distinguish prompts, workflows, agents, and multi-agent systems. Identify where judgment is required versus simple execution. Decide where AI should act and where product judgment must stay human. Design an AI agent around a clear responsibility Define responsibility, context, instructions, guardrails, and output. Give each agent only the context needed for its role. Create outputs another agent can reliably use. Build a specialized three-agent AI PM t

Practice & assessment

Provider describes creating the three PM agents, testing role handoffs and keeping the product decision with a human PM.

Time, cost & access

Format
Confirm format
Delivery & schedule
Maven workshop listing. Provider page date/duration evidence: Next cohort Oct 23, 2026 · 11am–2pm EDT; Oct 23, 2026 · 11am–2pm EDT
Time
Course span: 3 hours (workshop scope). Live workload: not specified separately. Total instructional time not confirmed.
Fee
Leader & Builder $200 USD 5.0 (4) Next cohort Oct 23, 2026 ·
Teaching language
Confirm with the provider.
Entry requirements
No coding or AI engineering experience is required. You should be comfortable with core product-management concepts. Basic experience using of ChatGPT, Claude, Gemini would be good to have. Set Up Your Tools Create your required accounts and confirm you can open the AI building tool before the live workshop. Test the Starter Project Open the provided project and complete the setup check to confirm everything works correctly. What's included Live sessions Learn directly from Priyanka Shetty in a real-time, interactive format. Lifetime access Go back to course content and recordings whenever you need to. 1:1 Before or After Workshop 1:1 session with Pri either before the workshop or after, so
Enrollment notes
An enrollment link was listed. Seats, checkout and purchase completion were not tested.
Credential
s Stay accountable and share insights with like-minded professionals. Certificate of completion Share your new skills with your employer or on LinkedIn. Live Hands-On Workshop Build one AI PM agent end to end, then connect it with two specialist agents using guided scaffolds. Agentic AI PM

Before you enroll

  • provider-listed curriculum and activities; no submitted learner work or outcomes were observed.
  • Instructional language is unknown; English page copy is not used to infer teaching language.
  • Seats, transaction, software access and checkout were not tested.
  • PM means product manager in this source; project-manager-specific instruction is not established.

Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.

Provider sources & recorded check dates