Agentic AI for Product Managers
4.8 (127)
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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!
Identify high-impact AI use cases with real business value
Design and evaluate production-ready AI workflows and agents
Learn orchestration, memory, retrieval, and guardrail patterns used in modern AI systems
Build the technical intuition needed to lead AI initiatives with confidence
AI evaluation frameworks used in real production systems
Hands-on Claude Code workshops for building AI agents
Advanced multi-agent orchestration patterns
You won’t just learn concepts — you’ll build and present a working AI product.
Prototype → Workflow → Production Agent
✨ WHY THIS COURSE?
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.
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 to rapidly prototype AI-led agents.
Learn prompt engineering, context engineering, and harness system for reliable outputs. Write claude.md & skills for agents.
Structure agents using tools, APIs, short and long term memory. Learn how engineering teams debug, iterate, and improve agents.
Master how sub-agents work alongside claude.md and skill.md
Combine prompts, tools, memory, retrieval, and external APIs
Understand orchestration patterns for multi-step execution and decision-making
Move from one agent doing many tasks to specialized agents and agent teams working together
Explore emerging patterns around MCP, tool ecosystems, and agent interoperability
Prevent looping, context loss, and coordination failures in multi-agent architectures
Understand common AI failure modes including hallucinations, prompt injection, and silent regressions
Use structured eval frameworks to benchmark outputs before deployment
Write evaluation pipelines to measure reliability, consistency, and task completion quality
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
Free resource
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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
Students from all over the world
Proud to have served to 1500+ students!
Join my free course with 11k+ Students
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Projects built by our previous cohorts
Pantheon: A showcase of our most loved projects!
Frequently asked questions
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