Rohan Varma
Product, Codex at OpenAI
Henry Shi
Ex-CTO, Tech Staff @ Anthropic Labs
This course is popular
26 people enrolled last week.
The #1 AI Certificate: Master the skills to build and ship AI products
🚨 Our April cohort is the last one until September. Self-funding? Use code "AIBUILDLABS" for $500 off.
You do NOT need prior AI experience, coding skills, or a machine learning background. This program starts from first principles and builds your AI product fluency step-by-step.
Tools: Claude Code, OpenClaw, Lovable, n8n, Dyad, APIs, and the modern AI product stack.
Techniques: RAG, multi-agent systems, embeddings, chunking, context engineering, evals, guardrails, observability, and turning AI into working products.
If you feel behind in AI, this is exactly where you start—just like the 3,000+ alumni who have given this program over 1,000 reviews.
⚡️ AI Product Team Training ⚡️: Turn your product team AI-native in 30 days. Equip your PMs with the skills to confidently build and manage AI products. Book a call to schedule a private cohort.
Our Crystallization Framework cements your expertise:
Content: Flipped classroom. Master everything from LLM basics to full AI product architecture.
Context: Pressure-test strategies live with AI leaders to apply directly to your company.
Confirmation: Ship a production-ready AI capstone with 1:1 support.
What you’ll learn
#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.
Who this course is for
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.
What's included
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.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Free resource
Building AI Products with OpenAI
Define a winning AI product strategy
Learn to systematically identify and prioritize opportunities for value creation with AI within your organization
Apply the 5-A Framework for building AI products
Break down business problems and translating them into testable, high-value AI feature hypotheses
Define metrics & manage AI sprints
Learn key AI metrics, how to define model evaluation criteria, and manage AI sprints
Schedule
Live sessions
1-3 hrs / week
Projects
2-4 hrs / week
Async content
1-2 hrs / week
Frequently asked questions
$2,500
USD