Aman Khan
AI Product Management Leader
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4 people enrolled last week.
Design, prototype, and ship AI-powered products that delight customers
This is not a theoretical course about AI concepts. We'll of course teach you about the fundamentals of Agents, RAG and other AI concepts, but the purpose of this course is to get hands on. You’ll build real agents, evals and develop implementation plans!
This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." This is best suited for PMs who have at least played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies.
- 4 week live sprint: 8 interactive live sessions and 3 office hours per week packed with vibe-coding labs, eval workshops, and peer feedback loops.
- Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products.
- I'll also host a dedicated Slack community where you can communicate with me and other participants.
- All sessions will be recorded and available to students asynchronously.
What you’ll learn
Build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience to become an advanced AI product leader
We'll help you get started with an example agent that you will go 0->1 with, for your own use case
Use code gen with Cursor / Claude Code + agent framework (Langgraph/Crew AI) to build an agentic application, relevant to your work or life
If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together
We'll help you master the hidden lever behind every exceptional AI product: Evals
Define robust, and aligned metrics that go beyond simple accuracy, or toxicity
We'll put this in practice by running evals on your prototype and iterating on the prompt
Collaborate effectively with AI engineers by being able to communicate across an organization using coding agents
We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components)
Align stakeholders and executives around your AI strategy from first principles
Turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this AI feature to other
Understand how to look around corners with clear implementation plans
We’ll talk about best practices for getting to production, and what to think about when you have real user data
Who this course is for
Product Managers familiar with AI terms and concepts (LLMs, RAG, etc.) that wants to move beyond prompting to building actual AI products
PMs transitioning to AI-focused roles who see AI product leadership as their career differentiator in the next 1-2 years
Product Leaders and Executives responsible for AI strategy who need practical frameworks for evaluating and implementing AI initiatives
Prerequisites
Familiarity with code recommended (but not required)
We'll help you get Cursor set up, but some familiarity with coding/debugging will go a long way here (i.e. being able to read python code)
What's included
Live sessions
Learn directly from Aman Khan in a real-time, interactive format.
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 take this course and (with determination) push themselves to build functional AI Agents. We'll help you every step of the way with 3x per week office hours. Check out the testimonials for examples from prior students!
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
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
33 lessons • 6 projects
Week 1
Session 1: Building Your First AI Agent (Live Workshop)
Session 2: Developing AI Product Intuition
Week 2
Session 3: Evals in Action Pt 1 - Observability + Intro to Evals
Session 4: Evals in Action Pt 2 - Clustering failure modes from traces
Free resource
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Mastering Evals as an AI Product Manager
The Five Principles of getting started as an AI PM
Quickly grasp core skills: AI fundamentals, customer focus, prototyping, learning from AI experiences, and evals.
Deep Dive: Writing Effective Evals
Learn how to define clear criteria, write strong eval prompts, and reliably measure AI product success
Hands-On Example: Your First Eval
Create and iterate on a practical eval example to address common challenges like AI hallucination.
Schedule
Live sessions
2-4 hrs / week
A hybrid of live sessions, live office hours, and recorded lectures from prior cohorts distilled to the most important segments. Plenty of time for Q&A
Projects
1-4 hrs / week
Self paced projects to help reinforce the hands on concepts from lessons
Async content
1-4 hrs / week
Optional async materials that help provide context and further deep dives
Testimonials
- For any AI product manager, truly effective collaboration with AI engineers and the ability to navigate the intricacies of evals are non-negotiable, and Aman's course provides that crucial foundation.
Hamel Husain
Evals Expert - 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
ex-VP of Product for Apollo.io (Unicorn), 15+ yrs of experience - I'm a Product Manager at Spotify and Aman came to speak at our PM offsite. Aman brings a deep expertise and a rare ability to teach AI product management in a way that’s both clear and immediately useful. He cuts through the noise with sharp, practical guidance on what PMs need to know and how they need to work moving forward
Marc Tollin
Group PM @ Spotify
Go from Beginner to Advanced AI PM
Learn from the bleeding edge of AI PM
Frequently asked questions
$2,299
USD