Agentic AI Product Management Certification using Claude Code

Mahesh Yadav

AI Lead-built early Agents @Google, Meta

This course is popular

50+ people enrolled last week.

Learn from #1 AI Instructor | Go from Vibes to Production | Year Long Learning

  • 9th cohort (longest running AI cert.) Rated #1 and has most 5 star reviews on Maven

  • Mahesh has worked in all AI layers@ Google, Meta and AWS AI

  • Mahesh teaches every class on whiteboard and uses real examples from his own experience of shipping agents in production.



    Self-funding use code "MAY600" to get $600 OFF.

    Why?
    AI has affected all products & jobs, making AI skills essential. This course empowers you to dominate in Agentic AI space by giving:
    1) You 6-8 live workshops that builds AI product sense.
    2) Hands on labs for learning application of concepts like harness, memory, tools, MCP and RAG and more
    3) Week on week building and shipping real projects to production.

    Who?

  • Product managers who wish to dominate in Agentic AI space.

  • Consultants, Data Scientist, Designers, Program/Project managers who wish to learn AI PM chops and wish to switch to AI PM role ( by doing not watching).

  • Builders(Engineers/ EM's) who wish to become AI Product engineers aka FDE.


    Sources to check: Mahesh answers how to crack $750K+ roles at MAANG

What you’ll learn

To start leading Agentic AI products, build your own systems, define metrics, scale responsibly and attain a durable competitive advantage

  • ML concepts of Neural networks basics; DL vs. traditional ML vs Agent context, Supervised, unsupervised, reinforcement learning.

  • Different prompt engineering techniques (Zero Shot, Few Shot, RolePlaying) Build AI PM co-pilot using n8n, v0.dev that write PRD's

  • History of Agentic AI, Key differences between ML/AI, GenAI & Agentic AI and current landscape, Building agents with frontend and backend.

  • Add needed context to your agents. See where vanilla RAG fails and Agentic RAG is needed, find limitation and learn evaluation of RAG.

  • Identify problem suited for AI/agentic AI. Learn how to prioritize features using “new” AI-specific tenants (AI hype vs reality)

  • Build a PRD with technical requirements, data requirements, and prioritization based on token cost and AI risks.

  • Build evaluation for AI models, Agents. Create LLM as judges, use AI evaluators and define matrices for qualitative analysis.

  • Understanding of the Responsible AI Framework, Risks that AI products face and how to mitigate them by building guardrails on your agents.

  • Learn about tools usage, MCP and add integration using MCP to your agents.

  • Build PRDs, case-studies, and decision docs with AI first tenets that you can show managers, recruiters or investors.

  • Defining key performance indicators (KPIs) for AI Agents (e.g., task completion rates, user satisfaction, agent efficiency

  • Build continuous learning loops in your agents with fine tuning (LoRA). Using SLM's to differentiate and improve in context learning.

  • Finalizing artifacts, hardening demos, and crafting a compelling narrative. Getting your agent in hand of customers and get feedback.

  • Doing rehearsal runs, polishing evaluation dashboards and guardrail evidence

  • Present to judges to win prizes. Get in front of customers to get first feedback and paid customers.

Learn directly from Mahesh

Mahesh Yadav

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

Previously at Microsoft, Google, Meta and Amazon
Google
Microsoft
Meta
Amazon Web Services
See all products from Mahesh

Who this course is for

  • Product Managers who want to pivot into AI or lead AI-native products & those with some AI/ML exposure who want to master agentic systems.

  • Engineers or tech-leaders wanting to move into product strategy for AI. Those aiming for AI PM roles at top-tier companies & AI startups.

  • Anyone who wants hands-on build + portfolio + interview readiness, not just theory.

What's included

Mahesh Yadav

Live sessions

Learn directly from Mahesh Yadav 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.

Dedicated Engineer

Get support of your dedicated Engineer for help in debugging & learn the tools.

Post Cohort Learning

Keep learning about what's new in AI Space, on our Friday Live sessions with personal invites for life

Bonus

$1380 in free Credits: NextroleAI ($200), $750 Credit for AI PM Certification, $30 Credits for v0, $199 Credits for Substack

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

6 live sessions • 88 lessons • 2 projects

Week 1

May 12—May 17

    🤖 AI PM Skills & Ecosystems

    4 items

    🦾 ML Concepts

    3 items

    🧪 Hands on Lab - Apply what you learn

    4 items

    🎯Action Items - Week 1

    3 items

    🗓️Live Sessions Week 1 (11th May - 17th May)

    • May

      17

      Sun Lab - Week 1 Live with Mahesh @17th May - 7 AM PST

      Sun 5/172:00 PM—5:00 PM (UTC)
    2 more items

    Optional Lessons: ML Concepts

    3 items

Week 2

May 18—May 24

    🗓️Live Sessions Week 2 (18th May - 23rd May)

    • May

      24

      Sun Lab - Week 2 Live with Mahesh

      Sun 5/242:00 PM—5:00 PM (UTC)
    2 more items

    Build in Public - W1

    2 items

    🧰 Keystone Project - PRD

    1 item

    Build in Public

    2 items

    Submit week 2 homework here

    1 item

    Review / Survey

    0 items

Free resources

Schedule

Live sessions

8 hrs / week

    • Sun, May 17

      2:00 PM—5:00 PM (UTC)

    • Sun, May 24

      2:00 PM—5:00 PM (UTC)

    • Sun, May 31

      2:00 PM—5:00 PM (UTC)

Projects

5 hrs / week

Async content

5 hrs / week

Testimonials

  • Mahesh has worked in AI chips, MLops, PyTorch, AI services and AI agents - just that makes it worthwhile for me to get into my next role as he guided me to where to apply and how to get in
    Testimonial author image

    Brijesh Kundu (Got an AI job offer)

    Principal Product Manager at SecurityScorecard.
  • Top notch course for anyone truly wanting to get into Agentic PM. This is not a vanilla course, rather a full deep dive to get you day 1 ready to fully take on Agentic. With structured frameworks, Mahesh has really built the application and experiential learning with labs and office hours very well.
    Testimonial author image

    Nitin Rathi

    Product Portfolio Director at DELL
  • I joined this course after already launching a GenAI product at work, thinking I had some understanding. But the depth and breadth of knowledge packed into this program far exceeded my expectations. It’s the kind of insight I might have picked up only after launching ten different products with ten different teams.
    Testimonial author image

    Ioana-Rebeca Glitia

    CPO at FINNX

Our students come from diverse backgrounds—tech and beyond. If you have a passion for AI Product Management, you can thrive and lead!

From Silicon Valley to Singapore, our students come from top innovation hubs across the globe!

A Snapshot of the Top Brands Our Students Represent

Our cohort members form a strong bond with Mahesh

At one of our reunions

At one of our reunions

Frequently asked questions

Why We’re Different

  • Free weekly sessions for 3+ years: To ensure you always stay at the cutting edge of AI — long after the module ends.

  • Highest community engagement: Our students don’t just study the content — they build careers, lead AI initiatives in their companies, and get real interview help. And Mahesh sets up 1:1 time with students to support individual growth.

  • Teaching style that connects: Mahesh teaches every concept with clarity — as if explaining to a 15-year-old — so you truly understand, not just memorize. Our alumni consistently tell us how much they love his style.

  • Exclusive focus on Agentic AI: We don’t teach “generative AI features” only — we teach the next level: agentic systems, multi-agent architectures, evaluation, deployment and scale.

  • Career-launch built in: The programme isn’t just about learning — it’s about launching your next role as an AI PM, or stepping up to lead agentic initiatives at your organization.

    That's why: more students have given us 5-star reviews than any other AI / product-management certification online.

What You Additionally Get

  • Community + Network: Weekly live free sessions (running for 3+ years) to stay updated on the rapidly evolving AI space. Strong community engagement: peer learning, alumni success, interview support.

  • 1-on-1 Mentorship: Program led by Mahesh Yadav — former Google/Meta/AWS/Microsoft AI product leader — who personally teaches, explains concepts simply (as if to a 15-year-old), and meets 1:1 with students to support real growth.

    Ready to Get Started?

    If you’re ready to stop being a bystander and start leading agentic AI products — build your own systems, define metrics, scale responsibly and land your next big role — then this is your path.

    Apply now / Join the waitlist / Book a call, and let’s build the future of AI together.

From Learner to Leader: Real Alumni Wins from the Agentic AI PM Cohort

Hear directly from Brian Luc as he shares what it actually felt like to go through the course.

Results & Momentum Happen Here

$3,000

USD

·

12 hours left to enroll