Thriving as an AI PM
Cohort-based Course
Learn to build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience
Thriving as an AI PM
Cohort-based Course
Learn to build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience
Product at Spotify, Arize, Apple, Cruise
Course overview
Transform your product career with specialized AI product management skills
1. Master AI Product Fundamentals. Build a strong foundation in the core technologies that power today's AI products. You'll develop an intuition for what's possible with AI and learn the specialized vocabulary needed to collaborate effectively with AI/ML teams.
2. Transform Customer Needs into AI Solutions. Go beyond the hype to identify genuine problems where AI can create meaningful value. You'll learn our framework for evaluating AI use cases and building products customers actually want.
3. Create High-Impact AI Product Specs. Master the art of writing effective product requirements (PRDs) for AI systems, covering essential areas like RAG, fine-tuning, and prompt engineering. You'll walk away with templates you can immediately apply at work.
4. Prototype and Iterate with AI. Build functional AI prototypes without coding expertise. You'll learn how to use tools like GPT, Claude, and v0 to validate ideas quickly and communicate them effectively to stakeholders.
5. Evaluate and Improve AI Products. Develop a robust framework for measuring AI performance beyond accuracy. You'll learn to design comprehensive evaluation systems that capture both technical metrics and real user satisfaction.
6. Lead AI Product Teams. Navigate the unique challenges of AI product development, from working with researchers to managing different development cycles. You'll gain the skills needed to guide cross-functional teams through the AI product journey.
Who is this course for
01
Product Managers looking to specialize in AI products
02
Technical PMs transitioning to AI-focused roles
03
Product Leaders responsible for AI strategy
What makes this course unique
Learn from an AI PM practitioner
Benefit from the expertise of someone who has built and shipped successful AI products at companies like Spotify and Arize AI.
Understand all three AI PM paths
Explore the distinct roles of AI Platform PMs (building tools for AI engineers), AI Product PMs (building AI-centered products), and AI-powered PMs (using AI to enhance your work).
Focus on solving real customer problems
Learn how to identify genuine AI opportunities that create business value, not just implement trendy technology.
Build an impressive AI PM portfolio
Create tangible artifacts including PRDs, prototypes, and evaluation frameworks that showcase your AI PM skills to potential employers.
Master AI tools for productivity
Learn practical ways to use AI for generating mockups, analyzing customer feedback, creating visualizations, and drafting product requirements.
Community of peers
Connect with like-minded professionals transitioning into AI product roles, creating a valuable network for future collaboration.
This course includes
Interactive live sessions
Lifetime access to course materials
7 in-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Thriving as an AI PM
Course syllabus
Week 1
Session 1: Understanding the AI PM Landscape
Session 2: RAG & Fine-Tuning Fundamentals for PMs
Week 2
Session 3: Rapid AI Prototyping Techniques
Session 4: Solving Real Customer Problems with AI
Week 3
Session 5: Building Comprehensive Eval Frameworks
Session 6: Advanced Evaluation & Observability Techniques
Week 4
Session 7: Working with AI Teams
❌ Who This Course Is Not For
01
Engineers Looking for Technical ML Training: We'll focus on product management for AI, not the underlying machine learning algorithm.
02
Complete AI Beginners: While we cover fundamentals, you should have some familiarity with basic AI concepts and terminology before joining.
03
Already Experienced AI Product Leaders: You may find some content familiar, though our frameworks and community might still provide value.
This is not a theoretical AI course.
You'll walk away with practical frameworks, hands-on experience, and a portfolio of work that demonstrates your capabilities as an AI product leader.
Meet your instructor
Aman Khan
Aman has worked as a product leader at Arize AI, Spotify, Cruise, Zipline, and Apple.
Currently, Aman is Director of Product at Arize AI, an AI Development platform used by companies like Uber, Duolingo, Reddit, Instacart, and Booking.com. At Arize, Aman helps teams launch and improve their AI systems. He recently led a popular deeplearning.ai course on Evaluating AI Agents.
Course schedule
3-4 hours per week
Tuesdays & Thursdays
2 hours per week
We will have sessions twice a week for 4 weeks until the last week, for a total of 7 sessions.
Weekly projects
There will be assignments after each session to reinforce what you learned in the lesson.
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