Google

Walmart

Gallup

UCLA

University of Minnesota

Hamza Farooq

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

Cohort 1

2024-cohort-1

Cohort 3

Cohort 4

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Cohort 2

Self Paced 2024-01

Cohort-2024-03

Self-paced cohort

Cohort 5

2025-cohort-2

Cohort-2025-01

2025-cohort-3

2025-01

Alumni Group

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2026-01

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Over the past two years, we’ve had the privilege of reviewing over 500 project submissions from our community, across the world. The creativity, effort, and innovation poured into these projects have been incredible to witness. We’re excited to showcase some of the most loved projects—the ones that sparked the most learning, collaboration, and inspiration. Best part? Every single project is open source with full code and repositories available, so you can dive in, explore how they were built, and even contribute to make them better.

Pantheon: Sharing our best projects!

If you're curious about building the next generation of AI Agents and want to master how RAG systems, multi-agent frameworks, and LLMs are transforming the way we build, then this course is for you. Over the next 7 days, I'll walk you through how developers, researchers, and teams are going beyond basic tools and building production-grade, low-latency, and secure AI solutions—and how you can do it too.

🚀 Join Me for a 7-Day Journey into AI Agents & LLM-Powered Applications

Are you thinking of how to transform your organization into the next era of Gen AI and looking for some hands-on-experience in developing strategies for real AI Startups? Join us as we take you through this immersive course.

LLMs for Leaders and Product Managers

this course with a focus on production and LLMs is designed to equip students with practical skills necessary to build and deploy machine learning models in real-world settings. Be part of the first 20 people cohort. More in email link..

Building LLM Applications from Scratch

Learn to turn ideas into real products with Claude Code, generate PRDs, build MVPs, orchestrate agents, and ship deployable AI applications.

Founder | Ex-Google | Prof UCLA & UMN 

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

Claude Code in Practice

Co-Founder

Expert/Lead Data Scientist

I am a Freelancer 

Senior Program Manager

Platform Architect

Research Assistant 

Entrepreneur

Business Lead - Data & Strategy

Master the what, why, and how of Generative AI by building Enterprise-Grade Agents that go beyond the basics and actually move the needle

Ex-Google | Prof UCLA & UMN | Founder

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

Director of AI | Fulbright Scholar

Jaya Rajwani

Fulbright Scholar, MS in Data Science from USC. Specializes in Agent Design

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<ul><li>Identify high-value use cases that deliver measurable ROI</li><li>Design, evaluate, and deploy production-ready AI agents and lead AI initiatives with confidence.</li></ul>🚀 NEW IN THE 2026 CURRICULUM<ul><li>AI agent evaluation frameworks used in real production systems</li><li>Hands-on Claude Code workshops for building AI-powered applications</li><li>Advanced multi-agent orchestration patterns</li></ul>🤖 THE CAPSTONE EXPERIENCEYou won’t just learn, you’ll launch working AI agents.Prototype → Scale → Deploy<ul><li>No-code agent prototypes</li><li>Production-grade AI applications &amp; agents</li></ul>✨ WHY THIS COURSE?From our work with Fortune 100 companies, we’ve seen the gap: companies know AI matters but struggle to move beyond strategy decks or prototypes.This course bridges that gap—equipping PMs, tech leaders, and professionals with the skills to build AI products that deliver real impact while also developing portfolios that help them stand out or transition into AI.

Build and Deploy Actual AI Agents that Drive Real Business Impact

Deploy Your First Production Agent in 7 Weeks (with enterprise grade template)

Build NoCode AI Agents That Handle Real Business Workflows

Build AI Applications with Claude Code

Evaluate and debug AI agents with production-grade frameworks

Deploy AI Systems with Enterprise-Grade Safety and Scalability

Present and Defend Your AI Solution to Stakeholders

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.

Master Advanced Techniques for Building and Optimizing Agentic RAG Systems and Multi-Agent Workflows — Designed for Builders

Founder | Ex-Google | Prof UCLA & UMN

Stanford Continuing Studies

Staff AI @Together AI  | Founder

Coursera

Together AI

University of Toronto

Weaviate AI Database

DeepLearning.AI

Zain Hasan

Staff AI/ML Engineer (DX) @ Together AI | AI Educator & Researcher | Founder

<h1>🧠 Masterclass in Agentic RAG &amp; Multi-Agent Deployment</h1>A 7-week technical deep dive for AI builders ready to design agent systems that reason, route, and adapt.7 instructor-led sessions · 7 office hours · 1 Demo Day<h2>What You'll Build</h2>1. Agentic RAG with Routers Master stateful RAG with intelligent routing, reflection, memory, and multi-hop search strategies beyond naive cosine similarity.2. Hosting &amp; Quantizing LLMs: Deploy production-grade models using GPTQ/GGUF quantization via Ollama (local) and RunPod (cloud) with FastAPI and auto-scaling.3. Semantic Caching: Build cache layers from scratch using vector proximity and feedback loops to reduce latency and costs.4. Knowledge Graphs Implement graph-based memory with text-to-Cypher generation using Neo4j/Memgraph and DSPy for structured reasoning.5. ReAct Agents Create Reason+Act pipelines in Python and n8n for human-in-the-loop workflows with visual orchestration.6. Production Deployment Ship multi-agent systems using Google's ADK, MCP, A2A collaboration, Llama Guard safety rails, and GCP monitoring.Prerequisites: RAG/LLM experience, Python, APIs, cloud basics👉 This course is for builders who ship real AI.

The Agent Technical Course: Build and Deploy Production-Grade Gen AI Products

Build Production-Grade Agentic RAG Systems

Deploy & Optimize LLMs at Scale

Implement Semantic Caching to Reduce Costs by 40%+

Create Knowledge Graph Memory Systems

Ship Multi-Agent Collaboration Systems

Machine Learning Engineer exploring different techniques to scale LLM solutions

Researcher, who would like to delve in to various aspects of open-source LLMs

Software Engineer, looking to learn how to integrate AI into their products

AI has changed how products get built. Tools like Claude Code are reshaping the product development life cycle in ways most of us are still catching up with.You probably have ideas. You see what these tools can do. But turning an idea into something real, a working product that runs, deploys, and can actually be used, can still feel overwhelming.The most exciting shift is that anyone today can go from idea to PRD to working prototype in minutes. That's a massive change in how products come to life.This course exists to help you take advantage of that shift.Instead of spending weeks watching videos, you'll build alongside us. You'll take an idea, turn it into a PRD, generate an MVP, orchestrate AI agents, and deploy real-world use case products.You won't just learn how to use Claude Code. You'll use it to build real products.🎯 Week 1: Turn idea to PRD into an MVP🎯 Week 2: Build your own marketing agency using sub-agents, and multi-agent orchestration🎯 Week 3: Evaluations 🎯 Week 4: Demo Day!By the end, you'll know how to go from idea to requirements to prototype to deployable product using AI-native workflows, and you'll leave with multiple working products you built yourself. 🚀

Turn ideas into deployed products using Claude Code, build 6 real applications 

Turn Ideas into Working Products

Build and Deploy Real Prototypes

Create Multi-Agent Workflows

Use MCP Connectors to Extend AI Apps

Build and Launch a YC-Style Product

Graduate with a Portfolio of Shipped Projects

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

Curiosity and openness

Product Managers &amp; Product Leaders who want to go beyond writing specs and start turning ideas into products using AI-native development.

Developers &amp; Builders who want to move faster with tools like Claude Code and build real prototypes, agents, and deployable AI applications.

Entrepreneurs &amp; Founders who want to validate ideas quickly, build MVPs, and launch solutions without waiting on long development cycles.

Founder Traversaal.ai | Adjunct Professor | 15+ years | Google | Stanford | UCLA

Head of Data, Engineering & AI

Eric Weber

Head of Data, Engineering & AI, Grammarly

A 4-hour Gen AI Workshop for leaders who need to make real decisions about AI, not just understand it.<pre><code>Most leaders right now are either sitting in meetings where someone is pitching an AI tool they do not fully understand, hoping nobody asks them a hard question, or they have already started experimenting but not sure if what they are building actually matters. Neither of them is where someone want to be when AI is actively reshaping every industry around them.
This workshop exists to close that gap by equipping you with the strategic thinking, decision frameworks, and hands-on clarity to lead AI transformation with confidence.</code></pre>The biggest shift today is the rise of AI Agents, systems that plan, act, use tools, and collaborate to get work done autonomously. Organizations using them effectively are already pulling ahead.In this workshop, you will learn to identify high-impact AI opportunities, understand how modern AI systems work, prioritize investments, ask the right questions, and design for trust and governance, leaving with a clear 90-day action plan tailored to your organization.No coding. No prerequisites. Just bring a real problem to solve.

Lead the AI Shift Before It Leads You

Master AI strategy, agents, and execution, transform from passive observer to confident leader driving high impact AI decisions in your org.

Build a clear, practical understanding of how AI has evolved and what matters 

Learn how to spot where AI can create real business impact.

Understand what successful AI adoption actually looks like in practice.

Confidently decide when to build, buy, or partner.

Effectively drive AI initiatives inside a real organization.

Leave with a concrete roadmap to implement AI in your organization.

CEOs, CTOs, CIOs, and other top-level executives who want to stay ahead of the curve and understand Gen AI can applications

Product Managers responsible for product development, innovation, and market strategy who are seeking to leverage Gen AI

Experienced Data scientists, AI researchers, and machine learning engineers who want to expand their knowledge in Gen AI

Claude Code Masterclass for AI Developers

Explore the range of real products Claude Code can generate from websites and tools

What Claude Code Can Actually Build

Watch live demo where we turn raw content into a functional website by prompting Claude Code, showing how PMs can use it

Go from Idea to Working Product in Minutes

Understand when platforms like no-code builders are enough and when Claude Code becomes the better choice

When to Use Claude Code vs Lovable vs OpenClaw

Claude Code Masterclass for Product Managers

Founder & Adjunct Professor | 15+ years | Google | Stanford | UCLA

Gabriela de Queiroz

Ex-Microsoft & IBM AI leader | AI Advisor for Startups

Explore the range of real products Claude Code can generate from websites and tools to functional prototypes

Part 3: Building Robust Evaluations for AI Agents

Identify success metrics for agent reasoning, actions, and outcomes—going far beyond simple accuracy scores.

Define What “Good” Looks Like for AI Agents

Build task-based, behavioral, and regression-style evals that reflect how agents actually operate in production.

Design Practical, Real-World Agent Evaluations

Apply eval results to debug failures, compare agent versions, and iterate safely without breaking existing behavior.

Use Evaluations to Ship with Confidence

Part 2: Building ReAct to Multi-agent Architectures

Discover how ReAct combines structured reasoning with tool-based actions to create agents that think before they act.

Understand the ReAct Paradigm to build Intelligent Agents

Understand how ReAct-style reasoning and tool use evolve into coordinated multi-agent architectures.

Start with ReAct, Scale to Multi-Agent Systems

Hands-on walkthrough to build a ReAct-style agent that responds intelligently to changing inputs and real-time signals.

Build an Adaptive ReAct Agent

Part 1: Vertical Automated AI Agents That Deliver Results

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

Empowering Decision-Making with AI Agents

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

Streamlining Knowledge Access with Enterprise RAG

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

Hamza Farooq will transform you into an AI Product Developer

Hamza Farooq

About Hamza

Courses

Agentic AI for Product Managers

Agent Engineering Bootcamp: Developers Edition

Claude Code in Practice

Workshops

Gen AI Bootcamp for Executives

Lightning Lessons