Hamza Farooq

Cohort 1

2024-cohort-1

Cohort 3

Cohort 4

Cohort-2024-02

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

cohort-2025-04

2026-02

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2025-02

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

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

Founder | Ex-Google | Prof UCLA & UMN

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

Staff AI @Together AI  | Founder

Zain Hasan

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

Agent Engineering Bootcamp: Developers Edition

Data Engineer

Productmanager data

Engineering Lead

Staff Engineer

Co-Founder

Engineer

Lead Site Reliability Engineer

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

Agentic AI System Design for PMs

Head of Operations | Product Manager

People Operations Specialist

AutoCAD Draftsman

Google

Walmart

Gallup

UCLA

University of Minnesota

Ex-Microsoft & IBM | AI Advisor

Microsoft

Coursera

Open edX

DataCamp

NumFOCUS

 Gabriela de Queiroz

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

For nearly 3 years, we’ve run one of Maven’s top-rated AI courses: 15+ cohorts, thousands of students, and a proven record of turning strategy into execution. This hands-on course teaches you to design, build, and deploy AI agents that create real business impact.💡 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.

Stanford Continuing Studies

Together AI

University of Toronto

Weaviate AI Database

DeepLearning.AI

<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

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

AI Advisor | Ex-Microsoft & IBM

Gabriela de Queiroz

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

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.

This three-day Boootcamp is aimed at unlocking the potential of Generative AI for your organization. Who is this for? Pretty much anyone interested in learning about Gen AI. No coding or technical skillset required! We start with answering the most pertinent question "How can we use Gen AI in our organization?" As an instructor of highly technical courses on Maven, Stanford, and UCLA, I have recognized a growing demand among professionals to delve deeper into the world of Generative AI beyond the realm of prompt engineering. This realization has inspired me to develop a comprehensive course that caters to the needs of individuals seeking to harness the true potential of Gen AI within their organizations. Through my experience in growing my own company and engaging with a diverse range of professionals, it has become increasingly evident that there is a strong desire to understand the practical applications and strategic implications of Generative AI. While prompt engineering is undoubtedly a crucial aspect, it is only one piece of the larger puzzle. To address this need, I have carefully crafted this course to provide a holistic approach to Gen AI education. By combining theoretical foundations with real-world case studies, hands-on demos, and group discussions, participants will gain the knowledge and skills necessary to effectively integrate Gen AI into their products, processes, and business strategies. This immersive course is designed specifically for forward-thinking professionals who want to harness the power of cutting-edge AI technologies to drive innovation and growth. Unlike other courses that merely provide prompt guides and GPT-wrapper solutions, our bootcamp takes a strategic approach in going way deeper. Drawing from extensive experience working with numerous enterprises and startups, we help you develop comprehensive strategies to build groundbreaking Gen AI products that will shape the future of your industry. Here are some exciting demos that will be featured in our course: 1. Intelligent Trip CurationExperience the power of AI-driven personalization as we showcase a demo that curates tailor-made travel itineraries based on specific user preferences and feedback. Learn how to leverage Gen AI to create highly customized and engaging travel experiences that exceed customer expectations. 2. Virtual Product Try-OnDiscover the future of online shopping with our virtual try-on demo. See how Gen AI can revolutionize the way customers interact with your products by enabling them to visualize how items will look on them in real-time. This immersive experience not only enhances customer satisfaction but also reduces product returns and boosts sales. 3. Personalized Landing PagesWitness the impact of AI-powered personalization on user engagement with our dynamic landing page demo. By analyzing user history and behavior, Gen AI can create highly targeted and relevant content, offers, and recommendations, ensuring that each visitor receives a unique and compelling experience tailored to their interests. These are just a few examples of the captivating demos you'll encounter. Throughout the course, you'll have the opportunity to explore a wide range of Gen AI applications across various industries, gaining hands-on experience and practical insights to drive innovation within your organization. Throughout the course, you'll gain invaluable insights and practical knowledge that will enable you to: 1. Identify key opportunities for integrating Gen AI into your organization's processes and offerings2. Develop a roadmap for implementing Gen AI solutions that align with your business objectives3. Foster a culture of innovation and collaboration that embraces the potential of AI4. Stay ahead of the curve in an increasingly competitive landscape

Developing Multi Agent Architectures to design Mission Critical Products

Course syllabus

April 26th - Day 1

April 27th - Day 2

April 28th - Day 3

Build a prototype using Figma/ Miro to showcase your product

Capstone Project

Course schedule

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

Who is this course for

What you’ll get out of this course

Develop a deep understanding of how Generative AI can be strategically integrated into your organization's vision, processes, and offerings. Gain the ability to identify key opportunities and create a roadmap for successful AI implementation

Strategic AI Mindset

Gain practical experience working with state-of-the-art Gen AI tools and platforms. Through interactive demos and exercises, you'll learn how to leverage these technologies to create intelligent chatbots, personalized user experiences, predictive maintenance solutions, and more.

Hands-On Experience with Cutting-Edge AI Tools

Connect with a diverse community of AI leaders, innovators, and experts from various industries. Share insights, exchange ideas, and forge valuable partnerships that can lead to groundbreaking collaborations and business opportunities.

Networking Opportunities with AI Pioneers

By mastering the concepts and applications of Generative AI, you'll position yourself and your organization at the forefront of the AI revolution. You'll be equipped with the knowledge and skills necessary to create a sustainable competitive advantage and drive long-term growth.

No more Prompts or Wrapper Solutions

Participants will have access to our events in Bay Area for speaking engagements and opportunity to be a judge at hackathons

Access to our Exclusive Events

Learn how to develop a strategic mindset on building Gen AI products which are scalable and have a positive ROI for your organization. 

Claude Code Masterclass for Product Managers

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

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

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

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.

Explore Practical Applications of AI Agents

Build sales prospect agents to generate leads

Practical Applications of AI Agents using no-code tools

Learn the architecture decisions that separate toy projects from real systems

Ship Production-Ready Code, Not Demos

Follow the exact setup process that powers multi billion dollar industry

Get the playbook used by VC funded companies to build agents

Practical Evaluation Strategies for AI Agents

Define success metrics for agent reasoning, actions, and outcomes, beyond simple accuracy.

Identify what “good” looks like for an AI agent

Build task-based, behavioral, and regression-style evaluations that reflect real-world usage.

Design practical evals for agent workflows

Apply evaluation results to debug failures, compare agent versions, and confidently ship changes.

Learn directly from Hamza Farooq

Hamza Farooq

About Hamza

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