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50+ people enrolled last week.
You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."
Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.
Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.
Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.
In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI primitive.
Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.
When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.
Every session is intensely hands-on and practical
Build custom AI workflows for strategy, productivity, and prototyping using Claude Code, Cursor, and MCP.
Deploy agents that handle strategy, analysis, and planning work (and repetitive tasks)
Build your Personal OS (task management, notes, workflows) that you'll actually use after the workshop.
Integrate custom productivity tools tailored to your workflow: kanban boards, automated meeting notes, or personal dashboards.
Establish a continuous improvement loop: use your products daily, identify failures, and iterate—the same cycle AI PMs use.
Master technical concepts of AI through daily, hands-on habitual use
Speak confidently about tradeoffs and possibilities
Stay ahead as new primitives rapidly emerge and anticipate industry solutions (by facing the same problems yourself)
Deconstruct any AI startup into its primitives under the hood
Discern genuine innovation from marketing hype.
Ask simple, piercing questions that cut through jargon and buzzwords
Transform brainstorming conversations into functional prototypes you can immediately test.
Prompt coding agents to work self-sufficiently with minimal babysitting.
Share screen and build working demos live with confidence
Set up collaborative workflows using Git, Dropbox, or Google Drive so your team can build AI-enhanced productivity systems together
Create reusable team templates and rules that encode institutional knowledge into AI-native documentation.
Solve real team pain points live, turning skeptics into advocates through results (not slides)
C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.
Product builders who want to improve their technical intuition by building their personal AI systems.
Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.
Live sessions
Learn directly from Aman Khan & Tal Raviv in a real-time, interactive format.
1:1 lifetime Whatsapp access
Ask us anything forever. Long voice messages welcome.
Build your own Personal OS
We'll help you with the nitty gritty and workflows so you have a portfolio of AI products you can take with you beyond the course
Access to professional Engineers and AI PMs to help with debugging your product
You won't feel blocked by technical skills - we've had completely non technical PMs complete this material and push themselves to build functional AI Agents. We'll help you every step of the way.
Lifetime access to recordings and content
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
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
2 live sessions • 36 lessons
Dec
5
Dec
6
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Use the same tools as engineers to develop product sense for "what's easy and what's hard" in AI
Deploy a working AI system from raw AI building blocks that you use and iterate on daily
We'll screen share and build complete systems during the session.
We've added a half hour beyond the calendar invite to make sure all your questions get answered.
Live sessions
8 hrs
2 days x 4 hours each day (with 30 min break)
Fri, Dec 5
5:00 PM—9:30 PM (UTC)
Sat, Dec 6
5:00 PM—9:30 PM (UTC)
Zero homework
8 hrs
Unlike courses where you're expected to implement learnings on your own time, we build together IN the live sessions.
I believe the future of Product Management looks like Tal Raviv

Lenny Rachitsky
Watching Aman build an AI agent from scratch in Cursor while explaining evals, observability, and PM-eng collaboration was eye-opening. He doesn't just talk about AI PM skills - he shows you exactly how to develop them. Essential for any PM serious about AI

Aakash Gupta


$1,499
USD
7 days left to enroll