Product Leader, Codex at OpenAI
Member of Technical Staff @ Anthropic


38 people enrolled last week.
🚨 May is SOLD OUT. June is the last cohort until September. Self-funding? Use code AIBUILDLABS for $500 off.
Why? How you spend the next 365 days is your most important career decision. Master the skills to dominate the AI space.
Maven's ONLY course with 1,000+ reviews. 10 years, 100,000+ grads at Product Faculty.
No prior AI or coding experience needed. We build your AI fluency from first principles.
Capstone: Ship a multi-agent AI product with unlimited, step-by-step 1:1 support. [See past projects]
Tools: Claude Code, n8n, OpenClaw, Lovable + modern AI stack.
Techniques: Agentic AI, evals, multi-agent systems, RAG, production-ready vibe coding, embeddings, chunking, context & content engineering + more!
Team (10+): Private Cohort Portal for internal IP + 1:1 support. support@productfaculty.com.
⚡ BEST VALUE — AI Builder Track: Product Faculty's top AI courses in one track. 24-month all-access, retake any cohort (over $10K value).
• AI Product Management ($2,500)
• AI Product Strategy for Leaders ($2,500)
• AI Product Leadership ($5,000)
• Frontier Agentic Engineering ($2,500) — late 2026
👉 AI Builder Track $3,995: enroll in this course first → upgrade details in your welcome email.
#1 Rated AI Certificate. Acquire the skills needed to confidently build AI products, positioning yourself for success in the AI world
Stop building "solutions looking for problems." Map user friction directly to AI capabilities.
Use the 5-Question Framework to quantify pain severity, frequency, and total market impact.
Draft an AI PRD that defines risks, guardrails, and success metrics before writing code.
Don't just add a "chat" button. Use the 3P Framework: Prioritization, Placement, Prominence.
Master the 4 AI Design Patterns: Inputs, Special Instructions, Outputs, and Feedback Loops.
Design for "non-determinism" using Human-in-the-Loop and Levels of Autonomy frameworks.
Prompting isn't guessing. Master the Context vs. Behavior Matrix to pick the right tool.
Know exactly when to escalate from Prompt Engineering to RAG or Fine-Tuning.
Apply advanced tactics: Chain of Thought, Few-Shot, and Delimiters to reduce errors.
"Vibe checks" don't scale. Build automated evaluation suites using LLMs as graders.
Create "Golden Datasets" to benchmark performance against specific user intent.
Run adversarial "Red Teaming" to catch hallucinations, PII leaks, and prompt injections.
Move beyond simple assistants. Implement orchestration patterns like the "Manager Role".
Master the Agent Stack: Sense (Multimodal), Plan (Reasoning), and Act (Tool use).
Solve reliability issues like "Task Looping" via state tracking & termination rules.
Stop defaulting to GPT-4. Evaluate models based on Time-to-First-Token and TPM cost.
Learn the trade-offs between proprietary models (OpenAI) and Open Source (Llama/Mistral).
Understand the "Fine-Tuning" trap: Why you likely don't need it, and when you actually do.

Product Leader - Codex at OpenAI | Ex-Cursor's First PM.

Ex-Founder ($200M ARR) | Tech Staff to Anthropic Co-Founder
For PMs & Leaders: The #1 rated certificate to master the age of AI. Learn the A-to-Z playbook to ship successful AI products.
For Engineers & Tech Leads: Don't just build. Lead. Get the product strategy to make better tech decisions & fast-track your career.
For Founders, Designers & UX: The playbook to build a winning AI venture or design human-first AI experiences users will love.
Live sessions
Learn directly from Rohan Varma & Henry Shi in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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Learn to systematically identify and prioritize opportunities for value creation with AI within your organization
Break down business problems and translating them into testable, high-value AI feature hypotheses
Learn key AI metrics, how to define model evaluation criteria, and manage AI sprints
Live sessions
1-3 hrs / week
Projects
2-4 hrs / week
Async content
1-2 hrs / week
$2,500
USD