Learn AI with Jyothi

AI Agents Masterclass for Product Managers

PyTorch

Amazon Web Services

Etsy

Netflix

Jyothi Nookula

Director at Netflix (ex- Meta AI, AWS AI, and Etsy AI/ML)

Learn the essential building blocks of effective AI agents and how they fit together through real examples.

Master the Agent Architecture

Create clear specifications by translating business needs into balanced technical requirements.

Define Effective Agent Requirements

Apply agent concepts to challenges using my framework to design solutions with metrics and implementation plans.

Implement for Business Impact

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

Cohort 9

AI Lead-built early Agents @Google, Meta

Google

Microsoft

Mahesh Yadav

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

Cohort 8

Cohort 10

<ul><li>9th cohort (longest running AI cert.) Rated #1 and has most 5 star reviews on Maven </li><li>Mahesh has worked in all AI layers@ Google, Meta and AWS AI </li><li>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 &amp; jobs, making AI skills essential. This course empowers you to dominate in this space starting from zero you will: 1) Get 6-8 live AI PM skills workshops that gives you reall life exposure on what it takes to build AI products. 2) Do labs(hands on) to get in depth understanding of Agentic AI concepts(harness, memory, MCP and RAG). 3) Week on week building and shipping real projects to production. Who?</li><li>Product managers who wish to dominate in Agentic AI space.</li><li>Consultants, Data Scientist, Designers, Program/Project managers who wish to learn AI PM chops and wish to switch to AI PM role ( by doing<s>)</s>.</li><li>Builders(Engineers/ EM's) who wish to become AI Product engineers aka FDE. Sources to check: <ul><li>Explore past projects: <a target="_blank" rel="noopener noreferrer nofollow" href="https://myaicommunity.org/all-projects/cohort8">AI Product Pitch Days</a>,</li><li>&amp; hear directly from alums in our<a target="_blank" rel="noopener noreferrer nofollow" href="https://myaicommunity.org/testimonials"> Wall of Love</a> . Need more : <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/arjita-legalgraph/30min">BOOK A CALL</a> If in need, check out <a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/forms/d/e/1FAIpQLSdsZxcoAIgKc81ibL8YT4VuUvLdG8aEqH3zD3mH7gxdAYPFhA/viewform?usp=header">scholarship program.</a> </li></ul></li></ul>

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

Build a foundation of AI ecosystem, ML Concepts & Agentic AI Landscape

Finding and Translating business needs/opportunities into solvable AI problems

Address AI agent evaluations and deploy with responsible AI tenets 

Create a GenAI/Agentic AI Product Portfolio

Pitch preparation: Story, Metrics, Objection handling

Product Managers who want to pivot into AI or lead AI-native products &amp; 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 &amp; AI startups.

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

You’ll learn how to design, evaluate, and ship reliable AI systems, becoming a PM who can lead beyond demos.

2026-02

Ex-Google | Prof UCLA & UMN | Founder

Walmart

Gallup

UCLA

University of Minnesota

Hamza Farooq

Founder | Ex-Google |
Adjunct UCLA & UMN, SCU | Venture Partner

AI Product Builder | Startup Advisor

Aishwarya Ashok

2026-01

2026-03

Welcome to the ever evolving top-rated OG course of Maven. 3 years, 15+ cohorts, thousands of students, and a proven record of turning strategy into execution.Once you enroll, you're enrolled for life. Receive all course updates, join any class! <h2>💡 WHAT YOU’LL LEARN </h2><ul><li>Identify high-impact AI use cases with real business value</li><li>Design and evaluate production-ready AI workflows and agents</li><li>Learn orchestration, memory, retrieval, and guardrail patterns used in modern AI systems</li><li>Build the technical intuition needed to lead AI initiatives with confidence </li></ul><h2>🚀 NEW IN THE 2026 CURRICULUM </h2><ul><li>AI evaluation frameworks used in real production systems</li><li>Hands-on Claude Code workshops for building AI agents</li><li>Advanced multi-agent orchestration patterns </li></ul><h2>🤖 THE CAPSTONE EXPERIENCE</h2>You won’t just learn concepts — you’ll build and present a working AI product.Prototype → Workflow → Production Agent<h2> ✨ WHY THIS COURSE?</h2>Most AI products fail for the same reason: they work in demos, not in real workflows.This cohort is designed for people who want to understand how modern AI systems are actually designed, evaluated, and shipped — from orchestration and reliability to real-world production constraints.

Build and Deploy Actual AI Agents that Drive Real Business Impact

Foundations of AI Agents & the GenAI Ecosystem

Thinking Like a PM, Building Like an Engineer

Building Production-Ready Agents

Multi-Agent Systems & Orchestration

Guardrails, Evaluations & Reliability

If you have never written code before, no worries. We’ll give all the support and everything you will need.

Just be willing to learn, we'll take care of the rest

Product Managers&nbsp;looking to integrate AI into their roadmaps and communicate with stakeholders confidently.

Business &amp; Non-Technical Leaders. Executives and consultants who need to translate AI into business value and strategy.

Job Seekers &amp; Career Builders.&nbsp;Professionals aiming to create standout portfolio projects and pivot into AI roles.

Learn the foundations of building AI systems 

Founder, Tech for Product

Colin Matthews

Founder of Tech for Product, Fractional PM leader

Cohort 2

Cohort 3

It's surprisingly hard to really learn how AI systems work. Either you're being told to use a specific framework or tool that you don't use at work, or the materials are way too technical and only an engineer could understand them. This unique half day workshop takes a different approach than most content you've seen. This is not a course about any specific AI tools or frameworks. Instead, this is a course to help you understand of AI agents one step at a time, starting from the very beginning. You'll learn how: 1️⃣ The core loop of an agent actually works 2️⃣ Tool calls between the LLM and your product communicate 3️⃣ Improving tool descriptions, errors, and system prompts steer your agent 4️⃣ Giving the agent an environment allows you to build more valuable productsBy the end of the session, you'll not only have shipped multiple agents, but you'll also have a new way of understanding how AI product really work.We'll cover a wide variety of topics related to building AI agents, so please read the full outline below!

Understand how agents work

Product managers working on AI products or features

Designers who want to better understand how AI products work

Product leaders who need to lean in to IC work to build their own understanding

Learn about the tools, behaviors, systems, & business models powering the AI agent future, and how to steer your products + services to win.

Founder, Free Agency & AI Muscle

OpenAI

NVIDIA

Ramp

Anthropic

Sherveen Mashayekhi

Founder @ Free Agency + AI Muscle. AI product leader, angel investor, supernerd, and coach.

Cohort 1

Hey there. We're at the beginning of the Agent Experience (AX) layer -- products like Claude Code, OpenClaw, Codex, + Manus are showing us early versions of a new business paradigm:Moving forward, your customer is both:<ul><li>your principal: a human at the other end with a goal</li><li>your operator: an AI agent operating on their behalf</li></ul>More and more, AI agents will be recommending products to their users, navigating between options, executing a transaction, &amp; even using your service or product on an ongoing basis.You HAVE to build differently for agents.Unlike humans, they don't buy from emotion-driven landing pages. They don't have eyes that prefer bright colors to draw their attention to next steps. They definitely prefer to avoid your interface if they can avoid it.Companies like Stripe and Salesforce are going agent-first with their releases, startups like AgentMail are building toolkits to help agents become more autonomous and capable, and OpenAI &amp; Anthropic are embracing long-running agents as the killer use case of AI models.Learn how to build your product or service around the agent lane for AI, the new human lane that keeps people in mind, and the control lane that makes it all work.

A new customer is replacing humans: AI agents.

Agent Experience (AX) Foundations

Building the Agent Lane

AI Agent Transactions and Product Use

Business Models of the Agentic Future

The Agent Frameworks of the Future

Tactics and Technicals

You'll walk away: understanding how agents behave (marketers), adopt your product/business (product), or implement with nuance (engineers).

No technical background required, though technical concepts are covered!

Product leaders, designers, marketers, and engineers looking to ensure their team doesn't get beaten by an agent-first competitor.

Founders and CEOs of startups, software companies, and services businesses who want to serve agents as they become the #1 customer.

Builders who are building autonomous AI agents looking to ensure their capability and compatibility in the ecosystem.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Silence

Saying Goodbye

Product managers who drive strategy, development, and launch of products.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

AI Agents Masterclass for Product Managers

What you'll learn

Why this topic matters

You'll learn from

Jyothi Nookula