Run a fleet of production agents the way you run a team.
Vibe coding has made it possible to create an agent in an afternoon. But the first demo hides the hard questions.
What happens when the agent loses context between sessions? When two agents disagree? When output volume grows faster than your team can review it? When the fleet loops overnight, leaks data, or quietly drifts from the behavior users trusted?
Production changes the job. You are no longer writing every step yourself. You are defining the organization, onboarding the agents, setting acceptance criteria, reviewing their work, and deciding what must wake a human.
This program starts where beginner agent courses end. You will learn to run agents with the same discipline senior leaders use to run high-performing teams—clear briefs, durable context, independent verification, explicit handoffs, and measurable standards.
Brief sub-agents with the judgment of a senior leader onboarding a new hire.
Stop forcing your agents to begin every session without memory.
Review a growing volume of work structurally instead of line by line.
Catch the failures that benchmark scores and demo prompts miss.
Give every agent a role, contract, escalation path, and decision boundary.
Keep the system observable, secure, and recoverable while you sleep.
A working demo proves an agent can run once. Your capstone must prove that a fleet can keep working when nobody is there to rescue it.
Dates are the published cohort schedule.
Shubham helps developers build, scale, and govern AI agents across Google’s ADK, Agent Builder, Agent Engine, and Vertex AI.
He created Awesome LLM Apps, one of the world’s largest AI-agent repositories, with 125,000+ GitHub stars and production-ready templates for agents, multi-agent teams, RAG, MCP, voice agents, and LLM applications.
Shubham developed the curriculum and leads the technical build track.
Henry is the co-founder of Super.com, where he helped scale the company from $0 to more than $200 million in annual revenue and over $1 billion in GMV.
He brings an operator’s perspective to architecture, product judgment, and the trade-offs required to move complex technical systems into production.
Henry joins select capstone Q&A and operator-review sessions.
You should know what it feels like to hit the reliability wall after the first successful demo.
The program assumes roughly 3+ years of software, ML, architecture, or technical product experience.
You should understand context windows, tool use, agent loops, and the basic anatomy of an agent.
Two hours each week with the lead instructor for that module.
Pressure-test architecture and unblock implementation decisions.
Four focused hours adding one production layer to your capstone.
Review against explicit rubrics instead of subjective feedback.
Two hours weekly covering context, skills, evals, and agent patterns.
Return to the course material and recordings whenever needed.
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.
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.
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.
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.
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.
Ship enterprise-ready AI products: PRDs, RAG, evals, agents.
Defensible AI strategy: moats, AI P&L, pricing, GTM.
Turn Claude and Claude Code into your daily PM team.
Ace the AI product interview, from product sense to strategy.
Pick your first cohort. Take the rest as they run.
See all 8 courses