Rana Mumtaz

How to Build Agentic AI Products

Bird

Yahoo

Perforce Software

GoDaddy

Pendo

Product Executive & Advisor

Identify repetitive, multi-step, cognitively heavy workflows
focus on jobs that AI can now dramatically Improve

Start With the User & Their Pain

Agentic AI: 
Low -> Medium -> Full Autonomy

Pick the Right AI Solution

Prototype fast → Test with real users → Create evals → Ship an MVP
Measure: activation, frequency, task completion

Build the Right Way (Evals → Ship → Measure)

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

Amazon Web Services

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.

This isn't just another course. You'll walk away with tangible assets that advance your career and concrete skills that set you apart.

2605

Founder at Aggregate Intellect

Amir Feizpour, PhD

10+ years in AI and Product Development

2603

2606

You're already trying to build something. Agentic Buildcamp is where pragmatic builders - developers, founders, and operators - ship a real AI agent using the KnowledgeOps methodology: 12+ guided workflows that take you from problem framing to production, delivered through Sherpa-B, an MCP server that connects to your CLI coding agent (eg. Claude Code). You learn by building, using the same agentic process you're learning to build with.Note 1: Join my next <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/amirfzpr/agents-office-hour">Agents Office Hour</a> and ask about this program.Note 2: If you are interested in a mentorship version of this program, reach out to <a target="_blank" rel="noopener noreferrer nofollow" href="https://mailto:bootcamp@ai.science">bootcamp@ai.science</a>🟢 WHAT WILL I BE ABLE TO BUILD?You’ll learn to design, build, evaluate, and deploy agentic systems, and integrate required tools. By the end of the program, you'll have a working application ready to showcase in a public demo.▶️ <a target="_blank" rel="noopener noreferrer nofollow" href="https://tinyurl.com/llm-agent-demos">Playlist of previous public demos</a> 🟢 WHAT SHOULD I EXPECT TO HAPPEN DURING?This is a 3-sprint product development + 1 week of prep for the public demo.🖌️ SPRINT 1 - DESIGN (wk 1 &amp; 2)🔨 SPRINT 2 - DEVELOP (wk 3 &amp; 4)🚢 SPRINT 3 - DEPLOY (wk 5 &amp; 6)🎭 PUBLIC DEMO (wk 7)Sprint demos will be live and interactive.

Self-directed program where builders ship real AI agents in 7 wks in Claude Code

Ship a Real Agentic AI Application

Experience Learning via Building with KnowledgeOps Methodology

Obtain Assets and Artifacts that Will Super-charge your Building

Most participants fail because they're not there to build. Outside of that we don't expect you to bring much prior experience 

Lots of enthusiasm to build

You will use a CLI tool (eg. Claude Code) as the primary way to learn and build (we provide resources for this)

Claude Code

Since we use coding agents heavily, you need good version control set up (we provide resources for this)

Biz or Tech Entrepreneurs - You want to build an agentic MVP to test the feasibility of your startup idea.

Hands-on Product or Operations Managers - You want to build an agentic MVP to explore a new feature in your existing product / process

Developers, Data Engineers, Data Scientists - You want to build an agentic MVP to demonstrate your skills for career progression purposes.

Build AI Products at Enterprises, Startups or on the side and Prepare to get your AI Product related Role

Cohort 4

Director, AI Engineering, AI Coach

Klarna

KTH Royal Institute of Technology

Affinity

Deepa Krishnamurthy

Director, AI Engg & Coach | Ex-Klarna | 9 years of exp | 600+ students

CEO & Co-Founder, AI Product Mngt. Coach

Amazon

Kennametal Inc

NIT Tiruchirappalli

Avinash Mahalingam

Ex-Amazon | Product Management Leader & Coach | 14+ years exp | 100+ students

Cohort 3

Engage in 20 hours of live, hands-on, highly interactive sessions (our mentees love this about us) where you’ll take an idea from 0 to 1(MVP) leveraging AI effectively , learn what it takes to scale AI Products from 1 to 100.You will learn and apply concepts related to LLM+RAG, AI Agents and Traditional ML.Through a single case study in class, you’ll learn how to scope, align, and deliver real AI outcomes and build an AI product using AI tools such as lovable , n8n, Claude and Chatgpt. Small cohort size means deep interaction, live office hours, &amp; support for your specific questions on your own AI product or AI automation workflow. Many participants receive L&amp;D reimbursement, and engaged learners join a lifelong community with live sessions.

Go from problem to working AI Automation and/or Usable Product ( MVP) in 6 weeks

Discover and Prioritize High-Impact AI Use Cases

Leverage AI to  translate AI Product Strategy into an AI Product & Roadmap

Deepen Your Technical & AI/ML Fluency

Build Products That Are Safe, Ethical, and Compliant

Sustain and Evolve AI Products Post-Launch

Learn how to build and lauch and AI Agent

Having a high level understanding of product management 

Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams

AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes

Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders looking to learn how to bring AI Products to market

How to Build Agentic AI Products

What you'll learn

Why this topic matters

You'll learn from

Rana Mumtaz