The trailblazers

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

AI Lead-built early Agents @Google, Meta

Google

Microsoft

Amazon Web Services

Mahesh Yadav

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

Agentic AI Product Management Certification

Our alumni switch to AI teams, start companies, and land jobs at AI companies.

Amazon

Update -Wednesday Batch is SOLD OUT &amp; Enrolment is closed Batch 2, starting Saturday (1st Nov) 9 AM PST (if you miss the first session, you can catch up with the ecording)Price rising by $500 from 1st November 🚨ANNOUNCEMENT: The&nbsp;October-November Cohort would be our last Cohort of 2025.Discounts would be on a reducing seats/dates basis1) $400 Off with Code&nbsp;OCT, till 26th Oct Only2) $350 Off with Code NOV, till 29th Oct OnlyNO DISCOUNTS AFTER 29th OCTOBER EOD. Questions?Meet our team here -&nbsp;https://calendly.com/team_maheshyadav/ What’s Included (Total Value: $4500+):✅ Full GenAI Cohort Experience (Learning + Building + Career Accelerator Guidance)✅ Dedicated Tech Expert for Hands on Labs/Building your AI Prototype✅ 20+ live sessions with Mahesh during the cohort and countless more on advanced trending topics even after the cohort's lifetime.(Maximum across Maven)✅ 1:1 Mentorship with Mahesh Yadav (Worth $1000) What You’ll Achieve with this Agentic AI PM Program with MAANG leader (Learning+Building Products+Interview Prep: All At One Place) - Build Real AI Product Intuition – Learn to translate AI capabilities into user-centric features. - Hands-on AI Labs &amp; Tools – Using various AI tools like V0.dev, crew.ai, n8n, Langchain, OpenAI agents, Microsoft Co-pilot studio, Vertex.ai, AWS Flow, Azure Evaluator, Google Colab, and OpenAI Enterprise with or without needing to code. - Craft a GenAI Portfolio – Complete real case studies and projects to showcase your AI skills by building&nbsp;MAANG-level AI PRD. - Crack AI PM Interviews with Confidence – Proven frameworks, mock interviews, and personalized feedback.&nbsp;- Join a Network of 5000+ AI PMs – Weekly syncs, expert sessions, and lifetime support. Join Mahesh on a weekly FREE session in the community to stay updated on the latest. - - - - - - - - - - - - - - - -COURSE CONTENT Week 1: Problem Framing and AI SolutioningObjectives- Translate business needs into solvable AI problems with clear success metrics.- Choose between rule‑based and ML‑based approaches; draft an initial PRD.Lectures &amp; Topics- AI/ML Product Management landscape; AI PM roles, stakeholders, expectations.- Problem framing, hypothesis testing, and metric selection.- Rule‑based vs. ML‑based systems.- History and current landscape of Agentic AI.Labs- Workshop 1: Rule‑based vs. ML‑based decisions and feature selection for agents.- Workshop 2: PRD kick‑off and structure.Project- Deliverables: PRD Sections 1–3 (Problem, Solution, Core Metric) using the provided checklist.- Outcome: Validated problem statement, candidate solution, and measurable success metric ready for iteration. Week 2: Foundations, Prompting, and No‑Code Agent BuildObjectives- Understand core ML concepts; apply prompt engineering to prototype agents.- Stand up a simple frontend + AI backend to validate feasibility.Lectures &amp; Topics- Neural networks basics; DL vs. traditional ML.- Supervised/unsupervised/reinforcement learning.- Prompt engineering techniques (zero/few‑shot, role, and tool prompts).Labs- Lab 1: No‑code AI agent via prompt engineering.- Lab 2: Custom frontend + backend using OpenAI/Gemini/Claude with V0.dev and n8n.Project- Deliverables: Working prototype demonstrating prompt patterns and model integration.- Outcome: Functional agent prototype that proves feasibility and early user value. Week 3: Prioritization, Roadmapping, and Agentic RAGObjectives- Prioritize features by value, cost, and risk; produce an MVP→Phase 2 roadmap.- Add external knowledge via RAG and plan memory strategies for relevance.Lectures &amp; Topics- Product roadmap and prioritization (MOAT and cost).- AI stack and team roles (data, training, inference, compliance); LLM vs. SLM.- Agentic RAG concepts; transformers overview.Labs- Lab 1: Langflow RAG and Agentic RAG (incl. graph RAG), signal extraction, memory, context checks.- Lab 2: Connect to Supabase, add auth, capture feedback with an Agentic RAG backend.Project- Deliverables: PRD Sections 4–5 (Prioritization; Roadmap: MVP, Phase 1, Phase 2).- Outcome: Risk‑aware roadmap and knowledge‑augmented agent plan with clear milestones. Week 4: KPIs, Evaluations, and Responsible AIObjectives- Define agent KPIs and design evaluation plans at model and agent levels.- Operationalize Responsible AI practices and compliance checks.Lectures &amp; Topics- KPIs for agents; evaluating models and agents; precision vs. recall.- Responsible AI framework: risks, mitigations, ethics.- Ecosystem overview: EU AI Act, US AI Bill of Rights, leaderboards, model cards.Labs- Workshop: Precision vs. recall; apply to task metrics and thresholds.- Community Session: Building safe and responsible AI (expert insights).Project- Deliverables: PRD Sections 6–7 (Evaluations; Responsible AI, incl. AI Act checks).- Outcome: Measurable, compliant evaluation plan with defined safety and oversight gates. Week 5: Evaluations in Practice and Multi‑Agent SystemsObjectives- Implement practical evaluation pipelines and guardrails end‑to‑end.- Explore multi‑agent architectures with reflection and human‑in‑the‑loop.Lectures &amp; Topics- Why single agents underperform; moving to multi‑agent ROI.- AI/ML frameworks for agentic systems; selection trade‑offs.Labs- Lab 1: LLM‑as‑a‑Judge evaluation setup and scoring.- Lab 2 : Azure predefined evaluators (relevance, fluency, coherence, safety).- Lab 3: Multi‑agent lab with guardrails, reflection, and HITL using CrewAI.Project- Deliverables: Evaluation harness + guardrail configs; updated PRD referencing test coverage.- Outcome: Tested agent with baseline metrics and safety thresholds for “safe‑to‑ship.” Week 6: GTM, Pricing, and Advanced ToolsObjectives- Build pricing and GTM plans grounded in AI cost structure and growth strategy.- Strengthen defensibility via fine‑tuning and modern tool‑calling protocols.Lectures &amp; Topics- ML‑based product pricing; pricing for growth and adoption.- Fine‑tuning for MOAT; MCP and A2A/ACA protocols; tool selection.Labs- Lab 1: Enterprise automation with Microsoft Power Automate; contrasts with copilots.- Lab 2: Fine‑tuning LLMs with LoRA.- Lab 3: Tool calling with MCP (e.g., Claude with puppeteer for computer control).Project- Deliverables: PRD Section 8 (Pricing); 1‑page GTM; rollout checklist.- Outcome: Actionable GTM and pricing plan with technical readiness for scale. Week 7: Marathon and Pitch DayObjectives- Finalize artifacts, harden demos, and craft a compelling narrative.- Deliver a credible pitch aligned to KPIs and Responsible AI commitments.Lectures &amp; Topics- Pitch preparation: story, metrics, objection handling.Labs- Rehearsal runs; polish eval dashboards and guardrail evidence.Project- Deliverables: Final demo, PRD v1.0, evaluation matrix, KPI snapshot, pitch deck.- Outcome: Production‑credible agent, documented evaluations, clear GTM path, confident pitch on Pitch Day. What you’ll take away from the cohort✅ Spotting high-impact AI use cases in any business✅ Master agentic design (memory, knowledge, reflection, focus)✅ Build multi-agent workflows with tools &amp; data✅ Design and write MAANG-level PRDs✅ Use advanced prompting (CoT, ToT) for real applications✅ Deploy agents using Langflow, CrewAI, OpenAI, Vertex AI, and more✅ Grasp core ML concepts — neural networks, transformers, memory mgmt✅ Learn pricing, GTM, and scaling strategies for AI products✅ Work on real MAANG-level case studies Whether you come from a tech or non-tech background, you won't just build with AI — you'll walk in already appearing like an insider. This is your final chance to join the most practical, hands-on AI PM program at the current price. Special Pricing for Team Enrollment/Corporate training (5 or more)&nbsp;📞 Have questions?Meet our team here https://calendly.com/team_maheshyadav/And we’ll walk you through everything. Our CommunityWe're the only AI PM certification course that genuinely helps and tracks your success even after cohort completion.We are really proud of 27% of our cohort members who have successfully transitioned into AI PM roles. We achieve these results through:- 50+ written lessons- 10+ live workshops (beyond recorded content)- 20+ live AMA sessions directly with Mahesh- Continued support during interviews and continuous learning via weekly sessions after the cohort- Non-technical PMs are fully supported and encouraged to dive in—we provide extensive support hours to help. Our mission is to make this the only AI course you'll need in 2025 (period). To ensure this, we've added hands-on learning labs and strong technical support that empowers everyone—no coding or technical background required. Here, we will empower you to confidently identify, create, evaluate, and launch production-ready agents using GCP Vertex AI, Langflow, Crew AI, Azure Evaluators SDK, and Azure Co-pilot Studio. Get to know MaheshMahesh Yadav is your mentor and guide to success in AI product management. With over 20 years of experience and 10+ years building AI-powered products at Google, Amazon, Meta, and Microsoft. Mahesh has 9 patents as a primary innovator in AI training and Power management. He has presented at premier conferences such as Nvidia GTC, Microsoft Build, and AWS re: Invent. Mahesh brings firsthand insights from advising fast-growing AI startups and collaborating with senior leaders at Google, Meta, and Amazon, giving you an inside look at what truly drives AI innovation in top tech giants and AI startups in the Bay Area. Deep Expertise: Mahesh led the expansion of PyTorch into PyTorch Distribution and contributed to Meta’s first GPT3-scale training model (OPT) in 2019. His work spans key AI technologies, including recommendation systems, PyTorch, Agents for AWS Bedrock, and multi-agent for GCP. Practical Insights: His teaching uses real project examples to deliver actionable strategies you can implement immediately. He has been teaching for the past 15 years at Microsoft. He taught as a TEALS instructor for 3 years, then he taught AI courses internally for fun at Meta and MSFT. For the last 3 years, he has taught 10k+ across Free and Paid channels.&nbsp; Impact he left: Over 3000 professionals have upskilled through his courses, many now holding roles at top AI companies Special Pricing for Team Enrollment/Corporate training (5 or more)&nbsp;📞 Have questions?Meet our team here https://calendly.com/team_maheshyadav/And we’ll walk you through everything.

Agentic AI Cohort + Building with AI :Together in the #1 AI PM Program

Product Managers Traditional PM looking to transition into AI Product Management. This course will help you more with GenAI.

Engineers and Designers:Ready to transition into the PM world? Learn to bridge the gap between technical implementation &amp; product strategy

Founders:If you're looking to turn ideas into MVP &amp; gain the knowledge &amp; confidence to lead your team in building Ai Products

Builders Ready to Upskill into the PM world with real toolsLearn to bridge the gap between technical implementation &amp; product strategy

Are you wondering if this course is for you ?

Your Takeaways From This Cohort

Go from beginner to confident AI Product Manager in just a few weeks. In this course, you’ll follow a hands-on, project-based approach to quickly master both the fundamentals and advanced skills needed to build production-ready AI agents that solve real problems.

Fast-Track Your AI PM Journey

Our alumni are landing promotions, pivoting into AI roles, and stepping into leadership positions at top tech companies. As part of the cohort, you’ll tap into an active network that shares referrals, job tips, and insider guidance to help you break into or level up in the AI spa

Accelerate Your Career in AI
 

If you're a founder or builder, this course is your launchpad. You’ll be equipped to take your idea and turn it into a functional AI MVP tailored to your business needs - right away.

Turn Ideas Into Real Products

You won’t just leave with skills—you’ll leave with connections. Join a community of like-minded professionals, learn from each other, and keep growing long after the course ends.

A Lifelong Community That Grows With You

Go back to course content and recordings whenever you need to.

Lifetime access

Stay accountable and share insights with like-minded professionals.

Community of peers

Share your new skills with your employer or on LinkedIn.

Certificate of completion

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

Dedicated Engineer

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

Post Cohort Learning

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Second Module

Third Module

Course syllabus

Principal Product Manager at SecurityScorecard. 

Shaping the Next Generation of AI Product Leaders

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

Meet your instructor

Recordings will be provided in the student portal if you cannot join live.

5 Saturdays 90 mins sessions with Mahesh

You will have 5 lab sessions to build with Mahesh Teams. It is also our weekly open office hour.

Wed Lab Sessions/Optional Q&A

We want to help you to continue your learning journey even after the cohort ends. We meet weekly on my LinkedIn community. Current and previous cohort members join us to keep learning. Join us for a free event:https://www.linkedin.com/company/mahesh-ai-pm-community

Weekly Community Sessions

Course schedule

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