Cohort-based Course
Master AI prompt-driven workflows to quickly build what others theorize, from strategy, discovery, prototyping, and evals to real AI Agents.
This course is popular
6 people enrolled last week.
Cohort-based Course
Master AI prompt-driven workflows to quickly build what others theorize, from strategy, discovery, prototyping, and evals to real AI Agents.
This course is popular
6 people enrolled last week.
Course overview
AI has dramatically changed expectations on how PMs work. Learning how to do more with less, and 10X yourself is essential. Discovery moves from occasional research to a regular AI-assisted data-driven automation that turns findings into clear decisions. The PM role has been elevated to a full system orchestrator who manages agents, owns automation prompts, context assembly, and “vibe coding” when needed to raise productivity and deliver value faster.
PMs also are increasingly responsible to turn the AI executive vision (and FOMO) into concrete roadmaps that drive execution. Understanding portfolio level AI strategy and translating it into shippable AI-native products also requires ownership of the product-level agentic AI strategy,
use cases, requirements, design patterns, evaluations, and governance.
01
Experienced Product Managers, Product Management Leaders
02
Master AI-native product strategy, agents, prompts+context, and evals to ship features fast.
03
Master the AI skills you need to excel on the job and in interviews.
Accelerate research and discovery workflows, running a weekly AI-driven discovery loop that converts raw inputs into prioritized decisions.
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Boost PM productivity and polish by writing prompt specs, using agents with AI context, and mastering vibe-coding.
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Own AI portfolio, prioritize use cases, and lead PM-engineering on AI-native products.
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Build a minimal AI stack and governance to ship reliable, safe AI features.
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Define evals for quality, cost, latency, safety—with clear go/no-go thresholds.
Live sessions
Learn directly from Rajesh Raheja & Gaurav Nukala 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
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Enterprise Product Development Leader in AI/API/Integration/Data Cloud Platforms
Rajesh brings 25+ years of experience building AI, API, Data, and cloud integration platforms (8 U.S. patents). He led product and engineering at Fortune 500 firms and PE-backed ventures, and contributed to industry-defining acquisitions. He currently advises enterprises, PE firms, and startups on strategy, engineering execution and operational excellence, and actively mentors leaders.
Product, Technology, and AI leader at Apple and 2X unicorns
Gaurav has been building AI products since 2017, blending deep experience across product, technology, and AI. He led product, technology, and AI at Apple, Innovaccer (late-stage AI company; valued at $3.7B), Notable Systems, and Snappt (Series B, AI-native), shipping products that scaled to $100M in revenue. He loves teaching and mentoring experienced PMs.
He takes a pragmatic approach to teaching, infused with real-world examples.
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4-6 hours per week
Saturday & Sunday
8:30AM - 11:30AM PST
Nov 8 & 9 , 2025
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Be the first to know about upcoming cohorts