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Live cohortPM

AI Product Management

Ship a multi-agent AI product and build eval suites that catch real failures.

Next cohortSep 14 – Oct 17, 2026
Length6 weeks
Live instruction1–3 hrs/week
Rating4.7★ (1,480)

Enrollment closes when the cohort begins.

100,000+PRODUCT FACULTY GRADUATES
4.7 / 5FROM 1,480 RATINGS
FeaturedIN LENNY'S LIST
Build-firstREAL CAPSTONE, NOT A QUIZ
Why this matters now

The PM role is changing faster than most job descriptions.

Writing requirements and coordinating teams is no longer enough.

The product managers moving ahead can identify where AI creates real value, prototype solutions themselves, design agentic workflows, evaluate unpredictable outputs, and make informed technical trade-offs.

Yet most professionals are still learning through disconnected tools, surface-level prompting tutorials, and demos that never reach production.

This six-week certification gives you a practical system for taking an AI product from an important customer problem to a working, evaluated product.

You won’t just learn how AI products work. You’ll ship one.
What you'll learn

Everything this certification puts in your hands.

01

Identify AI opportunities worth building

Separate valuable use cases from expensive distractions.

  • Connect customer friction to AI capabilities with the 4D Method
  • Measure pain, frequency, feasibility, and market impact
  • Turn the strongest opportunity into an AI PRD
02

Design AI experiences people trust

Move beyond “add a chatbot” product thinking.

  • Apply Prioritization, Placement, and Prominence
  • Design for uncertainty, feedback, and recovery
  • Choose when AI assists, acts, asks, or escalates
03

Improve AI outputs systematically

Replace random prompting with a repeatable process.

  • Diagnose failures with the Context vs. Behavior Matrix
  • Choose between prompting, RAG, tools, and fine-tuning
  • Build feedback loops for accuracy and relevance
04

Build rigorous AI evaluations

Know whether the product works beyond the demo.

  • Create golden datasets and scoring rubrics
  • Build automated eval suites using LLMs as graders
  • Red-team hallucinations, PII leaks, and prompt injection
05

Architect agentic AI systems

Build systems that can complete real work.

  • Design agents using tools, memory, APIs, and data
  • Apply manager, worker, and evaluator patterns
  • Prevent loops with state, guardrails, and termination rules
06

Select the right model and architecture

Make defensible quality, latency, and cost trade-offs.

  • Compare models on quality, speed, reliability, and cost
  • Understand token economics, throughput, and limits
  • Evaluate proprietary and open-source alternatives
The capstone

Graduate with proof—not just knowledge.

This certification does not end with a quiz. You will take a real problem through the complete AI product lifecycle and present the result at Demo Day.

OpportunityAI PRDPrototypeAgentsEvalsLaunch
Unlimited 1:1 support: when your agent loops, your evals fail, or your architecture needs to change, you won’t be left alone to figure it out.
1Working multi-agent product
2Complete AI PRD
3Golden evaluation dataset
4Automated eval suite
5Guardrails and refusal boundaries
6Go/no-go launch plan
Curriculum

Week by week.

Week 1The AI Paradigm Shift+
  • AI products versus traditional software
  • Probabilistic product behavior
  • Foundation-model capabilities and limits
  • Common AI product failure modes
  • The changing PM role
  • Selecting your capstone opportunity
Week 2The AI Product Stack+
  • Models, tokens, context, latency, and inference
  • Prompt and context engineering
  • RAG, fine-tuning, tools, memory, and agents
  • Proprietary versus open-source models
  • Architecture trade-offs
  • Your first AI PRD
Week 3AI Product Discovery & Design+
  • Opportunity discovery and prioritization
  • Connecting user pain to AI capability
  • Designing for trust and uncertainty
  • Human-in-the-Loop systems
  • Levels of autonomy
  • Feedback and failure recovery
Week 4Prototyping & Building+
  • Structured prompting and context design
  • AI-assisted prototyping
  • APIs, tools, and external data
  • Workflow automations
  • Component testing
  • Debugging the first functional prototype
Week 5Evals, Safety & Agentic Systems+
  • Golden datasets and evaluation rubrics
  • Automated and human evaluation
  • Agent architecture and orchestration
  • State, memory, and termination rules
  • Guardrails and refusal boundaries
  • Red teaming and failure recovery
Week 6Ship & Present+
  • End-to-end product testing
  • Diagnosing agent failures
  • Improving through eval results
  • Establishing launch criteria
  • Completing your capstone
  • Presenting at Demo Day
Faculty

Taught by the people doing the work.

Rohan Varma

Product Leader, Codex at OpenAI · Ex-Cursor’s First PM

Rohan is a product leader working on Codex at OpenAI. Previously, he was the first product manager at Cursor, where he helped build one of the fastest-growing software companies in history as it grew from $0 to $1 billion in revenue in less than one year.

Before Cursor, Rohan was a Y Combinator founder who raised more than $25 million across three startups.

What's included

Everything that comes with your seat.

Live instruction

Six weeks of interactive teaching with Rohan.

Applied AI Labs

Exercises, implementation help, and practical Q&A.

Unlimited build support

Help when your product encounters real failures.

Lifetime access

Return to the content and recordings whenever needed.

Demo Day

Present your evaluated product and decision-making.

Certificate

Earn Product Faculty’s AI PM certification.

★★★★★
“Instead of just learning theory, I built and shipped a real agent end-to-end, debugged real failures, created a working refusal boundary, and finished with an honest go/no-go launch plan.”

Irene · Principal Product Manager at Clover · June 2026 cohort

Questions

Is everything taught live?

The Fellowship is built around live, cohort-based learning. You learn directly from the named practitioners, ask questions, complete applied work, and receive the latest insights from people working at the frontier.

Advanced Product Management is included as an on-demand program for strengthening timeless product fundamentals.

How much time will I need each week?

Most cohorts are designed for busy working professionals and require only a few hours per week. The exact commitment varies by program. You'll get the most value by attending live, completing the exercises, and making time for your capstone.

What if I miss a live session?

Attend live whenever possible because the discussions, feedback, and accountability are important parts of the experience.

However, missing an occasional session won't ruin your progress. You can also retake eligible cohorts during your active membership.

Can I retake a cohort?

Yes. You can retake eligible cohorts at no additional cost while your membership remains active. This allows you to experience the updated curriculum, refresh your knowledge, and apply what you learn to a new project as AI evolves.

Can my employer pay for it?

Yes. Many professionals use their learning and development budgets to cover the Fellowship.

We provide a manager-approval email template explaining the practical value to your company. Corporate cohort options are also available for teams. If your company needs an invoice, email support@productfaculty.com and we'll sort it.