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Agentic AI for Product Managers

Course

Agentic AI for Product Managers

4.8 (127)

Featured in

Lenny’s List

Hamza Farooq

Ex-Google | Prof UCLA & UMN | Founder

Aishwarya Ashok

AI Product Builder | Startup Advisor

Build and Deploy Actual AI Agents that Drive Real Business Impact

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!

💡 WHAT YOU’LL LEARN

Identify high-value use cases that deliver measurable ROI
Design, evaluate, and deploy production-ready AI agents and lead AI initiatives with confidence.

🚀 NEW IN THE 2026 CURRICULUM

AI agent evaluation frameworks used in real production systems
Hands-on Claude Code workshops for building AI-powered applications
Advanced multi-agent orchestration patterns

🤖 THE CAPSTONE EXPERIENCE

You won’t just learn, you’ll launch working AI agents.

Prototype → Scale → Deploy

No-code agent prototypes
Production-grade AI applications & agents

✨ WHY THIS COURSE?

Most AI products fail for the same reason—they work in demos not in real workflows. This cohort is designed for product managers, founders & operators who want to learn how modern AI systems are actually designed, evaluated, and shipped.

You’ll learn how agents work, how teams structure production AI systems & how to build workflows that are reliable, testable and useful in the real world.

What you’ll learn

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

Map the GenAI ecosystem across models, frameworks, vector databases, orchestration layers, and developer tooling
Analyze why most AI products fail in production despite impressive demos. Identify high-leverage AI opportunities inside your own product.
Learn practical frameworks for evaluating AI feasibility, business value, and operational risk

Use Claude Code and AI coding workflows to rapidly prototype AI-enabled products.
Learn prompt engineering, context engineering, and instruction design for reliable outputs. Write claude.md & skills for agents.
Structure agents using tools, APIs, memory, and external systems. Learn how engineering teams debug, iterate, and improve agents.

Use Claude Code to rapidly prototype AI powered applications
Build tools, APIs, and workflows that integrate with AI agents
Learn how AI coding assistants accelerate development of production systems

Learn practical evaluation strategies for agent performance, reliability, and hallucination reduction
Use structured evaluation techniques to measure agent quality before deployment
Analyze real examples from production agents we’ve built

Configure monitoring dashboards that track system performance, costs, and user satisfaction metrics
Implement multi-layered safety controls, including content filtering, output validation, and escalation protocols
Design deployment architectures that scale efficiently while maintaining response quality

Structure presentations using the Problem-Solution-Impact framework to communicate clearly to non-technical executives
Develop implementation roadmaps with timeline, resource requirements, and success metrics for organizational buy-in
Demo live systems during our capstone showcase, receiving feedback from peers and industry mentors

Learn directly from Hamza & Aishwarya

Hamza Farooq

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

Worked at:

Aishwarya Ashok

AI Product Builder | Startup Advisor

See all products from Hamza

Who this course is for

Product Managers looking to integrate AI into their roadmaps and communicate with stakeholders confidently.
Business & Non-Technical Leaders. Executives and consultants who need to translate AI into business value and strategy.
Job Seekers & Career Builders. Professionals aiming to create standout portfolio projects and pivot into AI roles.

Prerequisites

Just be willing to learn, we'll take care of the rest
If you have never written code before, no worries. We’ll give all the support and everything you will need.

What's included

Live sessions

Learn directly from Hamza Farooq & Aishwarya Ashok in a real-time, interactive format.

Lifetime access

Once you enrol in our course, you'll be enrolled for life. Go back to course content and recordings whenever you need to.

6+ Office Hour Q&As

Open office hours for deep dives, debugging help, and personalized feedback.

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.

$25k production-ready SaaS templates

RAG systems, agent orchestration, fine-tuning, guardrails, semantic caching, and production deployment verified through real enterprise use cases

Career Acceleration

Unlock new opportunities and fast-track your growth, positioning yourself for promotions and high-impact roles.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Aug 6—Aug 9

Welcome to the Course

1 item

Everything You Need to Get Started

1 item

Claude Code: Introduction & Setup

6 items

Module 1: Foundations of AI Agents & The Maturity of Gen AI Ecosystem

8 items

Project 1: Create Your Automation Agent Startup

1 item

Week 2

Aug 10—Aug 16

Module 2: Thinking Like a PM, Building Like a Software Engineer

10 items

Project 2: Creating your first Agent

1 item

Free resource

Design Vertical AI Agents That Deliver Results

Empowering Decision-Making with AI Agents

Multi-agent systems automate workflows, enhance collaboration, and provide real-time support for complex tasks.

Streamlining Knowledge Access with Enterprise RAG

RAG breaks down data silos, enabling seamless access to Enterprise Knowledge for smarter, faster decision-making.

Explore Practical Applications of AI Agents

Get hands-on insights into building AI agents from scratch, understanding their architecture, and deploying them.

Schedule

Live sessions

2-3 hrs / week

Weekly live class + office hours .

Projects

2 hrs / week

Build real-world AI projects to cement learning.

Async content

1 hr / week

Self-paced resources & extras.

Testimonials

The course was great! It was full of great content, a very active cohort, and I feel I learned many methods for putting Large Language Models (LLM) into production. The course was very well-structured, starting with the basics of NLP and building up towards analyzing and describing documents using NLP techniques, all the way to deploying an API
Victor Calderon
Senior Machine Learning Engineer
Amazing! I am leaving this course feeling empowered and equipped with the skills to leverage LLMs to build and deploy applications. I was able to implement the knowledge I learned immediately at work and with personal projects. Hamza is an awesome instructor. He is passionate about this topic and was able to simplify the concepts
Tiffany Teasley
Data Scientist & Career Coach at Data Sistah
Prof Hamza Farooq is a far-sighted, application oriented AI Researcher and a great Professor. Working under him was full of learnings and practical knowledge
Darshil Modi
Cohort 1
Hamza provided several excellent projects to learn from, showcasing quite a few ML practices and options in each. Learned a ton that I continually go back to!
Tony Dupre
Cohort 1
Hamza's class was among my favorites of my Master's program! He makes the tools of machine learning accessible and his teaching skills are on point.
Nicole Lovold-Egar
Beta Cohort
Hamza was an excellent instructor. He was able to explain various machine learning techniques in ways that were easy to understand and apply them to real world problems
Dan Kellen
Beta Cohort