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

2025-02

Alumni Group

cohort-2025-04

2025-03

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

Agent Engineering Bootcamp: Developers Edition

Machine Learning Engineer

Client Platform Engineer

Sr. Software Engineering Manager

Distinguished engineer

Director of AI 

Lead Quant

Engineering Manager, Data Governance and Analytics

CEO/AI Engineer

Indie Consultant

🧠 Masterclass in Agentic RAG &amp; Multi-Agent Deployment From Naive Bots to Production-Ready Agentic Systems Welcome to the AI builder’s dojo — a technically rigorous, unapologetically hands-on course designed for builders ready to go beyond plug-and-play wrappers and start designing agent systems that reason, route, and adapt. This is not a surface-level “course.” It’s a 10-week, live-led deep dive into autonomous systems: 7 instructor-led sessions · 7 interactive office hours · 1 epic Demo Day. No fluff. No wrappers. Just agents that work. 🧠 Course Breakdown – What You'll Learn 1. Agentic RAG with Routers — Why Naive RAG BreaksWe begin by deconstructing naive RAG — systems that fail under multi-turn, context-rich queries. You’ll build your own agentic retrieval system with intelligent routers, reflection, memory, and reasoning — capable of tool invocation, multi-agent coordination, and smart chunk selection.🔍 You’ll learn:-Stateless vs. stateful RAG-When cosine similarity fails-Designing context-aware routing logic-Reflection, ReAsk, and multi-hop search strategies 2. Hosting &amp; Quantizing LLMs — Local + RunpodProduction-ready agents can’t always rely on OpenAI. You’ll learn to quantize models (GPTQ, GGUF) for speed and cost-efficiency, and deploy them with Ollama locally and RunPod in the cloud, with tools like FastAPI and auto-scaling on demand. 🚀 You’ll learn:-LLM quantization strategies (4-bit, GGML, QLoRA)-On-device hosting via Ollama-Deployment via RunPod or serverless GCP-Streamed inference + latency benchmarking 3. Semantic Caching — Build It from ScratchWe’ll implement a semantic caching layer from scratch that recognizes similar queries, avoids unnecessary calls to the model, and improves performance over time using vector proximity and feedback loops.💡 You’ll build:Feedback loop to train your cacheCache hit/miss architectureSemantic distance functions + rerankingCost-saving and latency benchmarks 4. Knowledge Graphs from Scratch — Text-to-CypherGo beyond flat retrieval with structured reasoning using Knowledge Graphs. You’ll implement a graph-based memory layer with Cypher generation from natural language, and use DSPy to guide model outputs toward your schema.🌐 You’ll learn:Graph modeling for agent memoryExtracting entities + relations from unstructured textGenerating Cypher queries from promptsIntegrating Neo4j or Memgraph with RAG 5. ReAct Agents — Python &amp; No-Code with n8nWe’ll go deep into ReAct (Reason + Act) — one of the most powerful agent paradigms — and then rebuild it using both Python and no-code tools like n8n. Perfect for teams and workflows where technical + non-technical builders collaborate.🔧 You’ll build:Modular ReAct pipelines (tool use, planning, reflection)Human-in-the-loop agentsNo-code agents in n8n connected to APIs + databasesMulti-step workflows with visual orchestration 6. Bringing It All Together — ADK, MCP, A2A, and GuardrailsThe final sprint: we combine everything into a production system using Google’s ADK (Agent Development Kit), implement MCP (Modular Cognitive Planning), and create agent-to-agent (A2A) collaboration. You'll also implement industrial-grade guardrails and deploy securely with GCP integrations. 🛡️ You’ll ship:Multi-agent collaboration workflows-Safety guardrails using Llama Guard - Production deployment + monitoring- A capstone project solving a real-world enterprise task 🧩 Who This Is ForIf you’ve already built basic RAG tools or chatbots, and want to level up into true agent systems with autonomy, orchestration, and scale — this course is for you.-AI Engineers / LLM Builders-Technical Product Managers-Devs working on internal tools or AI copilots-Cloud / MLOps Engineers 🔧 What You’ll Get✅ 10 weeks of high-signal live instruction ✅ Weekly office hours + async support ✅ A final capstone project + demo day ✅ Real-world projects, not toy demos ✅ Guest lectures from AI builders at Google, Meta, OpenAI ✅ Early access to tools from Traversaal.ai ✅ Lifetime access to content + all future updates 🎓 PrerequisitesExperience building RAG or LLM-based toolsKnowledge of APIs, encoders/decoders, Python Basic understanding of cloud or serverless deployment👉 Need a ramp-up? Start with: Building LLM Applications: https://maven.com/boring-bot/ml-system-design 🎯 This Course Is For Builders Not marketers, not spectators — builders who want to deploy real AI.

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

Course syllabus

Saturdays

Work in teams to build solutions, this requires engagement with other team members

Weekly projects

Course schedule

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

This course is for you if you are a:

What you’ll get out of this course

Understand and implement complex AI architectures, including enterprise-level RAG systems and agentic RAG strategies. You will also dive deep into the Mixture of Experts (MoE) technique and other model merging strategies to enhance the capabilities of your AI systems.

Advanced AI Architectures

From building semantic caches using GCP and Redis to deploying LLMs on serverless platforms like AWS Bedrock, you'll learn the practical skills to deploy and manage AI applications in real-world scenarios.&nbsp;

Practical Skills for Deployment

Acquire advanced techniques for fine-tuning LLMs, enabling you to adapt these models to specific tasks or domains and enhance their performance in targeted applications.

Fine-Tuning Expertise

Explore strategies for exploring and optimizing inference speeds, ensuring that your language models perform efficiently in real-time scenarios, a crucial skill for deploying responsive and scalable applications.

Efficient Inference Processing

Understand the importance of ethical AI development and learn to implement guardrails using tools like NeMo, Colang, and Llama Guard to ensure your AI systems align with responsible AI principles.

Knowledge of Responsible AI

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

Google

Walmart

Gallup

UCLA

University of Minnesota

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

Microsoft

Coursera

Open edX

DataCamp

 Gabriela de Queiroz

Ex-Microsoft & IBM | Trusted Advisor to 100+ AI Startups | AI Strategy

For nearly 3 years, we’ve been running one of Maven’s top-rated AI courses. 15+ cohorts, thousands of students, and a proven record of turning strategy into execution. This is a hands-on course where you’ll actually design, build, and deploy AI agents that create real business impact.💡 WHAT YOU’LL LEARN<ul><li>Identify high-value Gen AI use cases that deliver measurable ROI</li><li>Design, evaluate, and deploy production-ready AI agents (No coding required)</li><li>Confidently lead AI initiatives and align teams around business outcomes</li></ul>🤖 THE CAPSTONE EXPERIENCEYou won’t just learn—you’ll launch a working AI agent.<ul><li>Prototype fast with no-code tools</li><li>Scale complex systems with low-code methods</li><li>Build full-scale web apps with AI backends</li></ul>✨ WHY THIS COURSE?We’ve seen the gap firsthand working with Fortune 100s: companies know AI matters but struggle to move beyond strategy decks or prototypes. This course bridges that gap, equipping decision-makers, PMs, and tech leaders with the skills to build AI programs that drive real impact while also giving job seekers, career builders, and mid-career professionals the portfolio projects and skills they need to showcase in order to 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

Design Enterprise RAG Systems That Actually Return Relevant Results

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 you everything you

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

Product Managers&nbsp;looking to integrate GenAI into their roadmaps with clarity and confidence.

Job Seekers &amp; Career Builders&nbsp;aiming to create cutting-edge portfolio projects, and stand out in the job market.

Technical Leaders and Architects&nbsp;who want to build scalable and safe agentic systems.

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

April 26th - Day 1

April 27th - Day 2

April 28th - Day 3

Build a prototype using Figma/ Miro to showcase your product

Capstone Project

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

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. 

Advance Your Career Through AI Engineering

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

Gain clarity on what AI Engineers actually do — the core skills, tools, and domains that define the role.

Understand the AI Engineer Landscape

Learn how to map your existing skills to AI engineering roles and discover realistic steps to pivot or grow within.

Identify Your Pathway to Transition

See how AI engineers build real products — from LLMs to intelligent systems — and understand the emerging areas.

Explore Real-World AI Applications

Fortune 100 Playbook: GenAI Transformation

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

Learn how Fortune 100 are thinking of Multi-agent systems to automate workflows and enhance productivity

Gen AI Transformation for Fortune 100

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 an AI Agent with Memory, Internet and Document Search

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

Empowering Decision-Making with AI Agents

Build a Sales Prospect and Finance Agent with me

Using Agents to Develop Mission Critical Products

Design Vertical AI Agents That Deliver Results, beyond hype

Automate Decision-Making with AI Agents

Streamlining Agents to deliver results with higher success

Design Vertical AI Agents That Deliver Results

Develop Enterprise AI Agents That Deliver Results

Enterprise Knowledge Management and Multi-Agent Architecture

AI-Driven Agents and Knowledge Management for Teams

Founder & CEO Traversaal.ai. Ex-Google. Adjunct UCLA & Stanford

Explore how to use AI to enhance team collaboration by creating interconnected knowledge ecosystems.

Harnessing AI for Effective Team Knowledge Management

Learn how to develop and manage AI-enhanced platforms that promote active communication and real-time updates.

Transforming Team Knowledge Sharing

Learn how on-prem architectures are so important for protecting data.

Data Privacy

Discover practical skills and strategies for using and creating variables within designs and prototypes.

Hamza Farooq

Hamza Farooq

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