Hamza Farooq

Cohort 1

2024-cohort-1

Cohort 3

Cohort 4

Cohort-2024-02

Cohort 2

Self Paced 2024-01

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Self-paced cohort

Cohort 5

2025-cohort-3

2025-cohort-2

Cohort-2025-01

2025-01

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

Agentic RAG Systems & Multi-Agent Architectures: Developers Edition

Sr. Data Scientist

Business Analyst and IT Consultant

AI/ML Cloud Platform Engineering

Principal Solutions Consultant

Software Engineer

The Premier LLM Course to help you extend your Generative AI and LLM Expertise - Designed especially for Pakistan

Building LLM Applications -CASE PK

Technical Manager

Government sector 

Consultant

Program Manager

We’re living through one of the most transformative periods in the history of computing — and Generative AI is at the heart of it. From content creation and personalized customer support to autonomous decision-making and intelligent search, GenAI is rapidly redefining how businesses operate, how knowledge is accessed, and how software is built. This course is roughly divided in two parts: 1. No Code tools for building AI Agents2. Low code approaches for building more complex Agents You've likely experienced this firsthand: vendors promising AI solutions that will transform your business overnight, countless products with overlapping capabilities, and the nagging question: "Which of these actually solves our unique problems?" Our startup has worked with organizations across fintech, supply chain, consulting, and manufacturing sectors, and we've consistently encountered the same challenge: businesses know AI matters, but struggle to identify concrete use cases that deliver measurable ROI. This course addresses precisely that gap—helping you cut through the noise to identify, build, and deploy GenAI applications that create actual business value. Building GenAI Agents for Enterprise Use is designed to give you a laser-focused and in-depth view of real-world GenAI applications. Designed for Business Leaders, Not DevelopersWhat sets this course apart is our relentless focus on the "what" rather than just the "how." While many courses dive directly into technical implementation, we prioritize use case identification, business value assessment, and strategic deployment considerations that matter to non-technical leaders. You don't need a programming background to succeed here. For business professionals who want to understand the capabilities without getting lost in the code, we've designed an experience that emphasizes concepts, applications, and outcomes. This course is one of the top-rated Gen AI Course on Maven, with over 1000 professionals trained from companies across tech, finance, government, and healthcare. It has been successfully offered at Stanford Continuing Studies and the UCLA Anderson School of Management for their Master’s in Business Analytics programs. Designed for Executive leaders, Data Scientists, Machine learning engineers, and Product Managers, the course demystifies the Gen AI landscape by blending deep technical concepts with practical enterprise deployment strategies. This is not another LangChain how-to or framework tour. Instead, this course teaches you to build modern GenAI systems from first principles, grounded in real-world constraints like scale, guardrails, multi-agent workflows, and domain-specific adaptation. 👤 Who This Course is For This course is designed for: - Product Managers looking to integrate GenAI into their roadmaps with clarity and confidence - Technical Leaders and Architects who want to build scalable and safe GenAI systems - Startup Founders &amp; Innovation Teams aiming to create competitive GenAI-powered products - Data Scientists &amp; ML Engineers who want to go beyond notebooks and deploy impactful GenAI apps - Consultants &amp; Enterprise Strategists exploring GenAI adoption and implementation strategies for clientsAnyone who wants to learn how Gen AI can be used 📚 Course ModulesModule 1: The World of Generative AI — Why Leaders Must Understand ItUnderstand the GenAI revolution and what it means for industries, infrastructure, teams, and the future of software. We break down the LLM ecosystem, the commoditization of models, and the real moats: data and architecture. Module 2: Building Blocks of no Code AgentsWhy do most enterprise search and Agentic solutions disappoint users? Discover the fundamental components that transform basic document search into contextual intelligence systems. Get hands-on with embeddings, chunking strategies, and the architecture of RAG systems that actually return relevant information. Connect RAG to Agents to interact with end users Module 3: Enterprise RAG with Guardrails—Moving Beyond PrototypesWhy do systems that work in demos fail in production? Learn how to transform proof-of-concepts into enterprise-grade solutions with semantic caching, optimized inference, and essential safety controls. Implement trustworthy systems that match your organization's risk tolerance and compliance requirements. Module 4: Agents and Their Ecosystem — Vertical AI AgentsWhat are agents really? Go beyond CrewAI and Autogen to build your own agent orchestration framework using AgentPro. Focus on vertical agents like Data Analyst Bots, Research Assistants, and more. Module 5: Teaching LLMs Your Organization's Language Through Fine-TuningWhy do generalist models struggle with your industry's terminology? Learn practical approaches to adapting models to your domain's vocabulary, processes, and knowledge structures. Implement LoRA fine-tuning and knowledge graph integration techniques that ground AI in your organizational context. Module 6: Capstone Discussion WeekWorkshop your final project ideas, get peer and instructor feedback, and finalize your architecture and approach for your custom RAG or Agent system. Module 7: Demo DayPresent your fully built, working system to the cohort. From agent demos to enterprise RAG deployments — this is where theory meets execution. Why This Course Is Different?The GenAI landscape is cluttered with tools, frameworks, and platforms—each promising to be the silver bullet. Our approach isn't about teaching you specific tools that will be outdated in six months. Instead, we focus on the enduring principles of identifying high-value use cases and building solutions that address actual business needs. Our startup has guided organizations through the process of moving from AI curiosity to deployment, and we've distilled those lessons into this course. You'll learn to look beyond the marketing hype to determine which problems in your organization are genuinely suited for Gen AI solutions. This Course Delivers Results Where Others Don'tUnlike theoretical courses that leave you wondering how to apply concepts, or technical deep-dives that ignore business realities, this program bridges the gap between possibility and practicality.We've designed every session to answer the question: "How do I use this to create actual value in my organization?" Whether you're looking to enhance customer experiences, streamline operations, or unlock insights from unstructured data, you'll complete this course with concrete tools to transform GenAI from a buzzword into a business advantage. ✅ What You'll Get (Outcomes, Action-Oriented) By the end of this course, you’ll be able to: 🧠 Understand the GenAI Landscape: Cut through the noise and get a clear grasp of how LLMs, RAG, and Agents fit into real-world enterprise workflows. 🛠️ Build Production-Ready AI Agents: Learn how to design and deploy AI Agents that go beyond simple Python scripts — handling reasoning, memory, retrieval, and tool use. 💼 Deliver Business Impact: Map Agent use-cases to measurable ROI — from automating internal knowledge retrieval to customer service, market analysis, and more. 🧪 Customize &amp; Scale Your Solutions: Fine-tune domain-specific models, design feedback loops, and deploy with guardrails. 🚀 Capstone + Demo Day: Work on a real-world Agent project and showcase it to a private network of peers, builders, and mentors.

What can Agents do for me?

Course syllabus

If you haven't written code before, no worries at all. We will provide you with everything you need to get started.

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

We will go through each module during this class

Wednesday: Module Teaching

Students will spend time building projects with their team members or individually

Weekly projects

Course schedule

Product Managers looking to integrate GenAI into their roadmaps with clarity and confidenceYou want to cut through the jargons and actually

Technical Leaders and Architects who want to build scalable and safe GenAI systems

Startup Founders &amp; Innovation Teams aiming to create competitive GenAI-powered products

Data Scientists &amp; ML Engineers who want to go beyond notebooks and deploy impactful GenAI apps

Who is this course for

Actionable Business Value, Not Just Technical Knowledge Outcome

Develop a structured approach to evaluate which business problems in your organization are genuinely suited for GenAI solutions. Stop wasting resources on use cases that look good in demos but fail to deliver ROI.

A Framework for AI Use Case Identification

Create actual, functioning GenAI applications using our provided code templates and step-by-step guidance. You'll build and deploy real systems—not just learn concepts.

Practical Experience Building Working Systems

Connect with professionals facing similar challenges across diverse sectors. Previous cohorts have formed lasting relationships that continue to provide value long after the course ends.

A Network of Cross-Industry Peers

Develop the ability to assess AI vendor claims and capabilities objectively. Learn which questions to ask and what metrics actually matter when evaluating solutions.

Vendor-Neutral Evaluation Skills

Build a clear, phased approach to GenAI implementation for your organization that aligns with business objectives and accounts for technical constraints.

Strategic Implementation Roadmap

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

Founder | Ex-Google |
Instructor Stanford Continuing Studies & Adjunct UCLA

🧠 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

Saturdays

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

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

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

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. 

Using Agents to Develop Mission Critical Products

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

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

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.

Join with your team and learn together

Agentic Enterprise Knowledge Management

Learn about what is Enterprise Knowledge Management is all about

The New Paradigm of Enterprise Knowledge Management

An overview on the building blocks of Enterprise RAG

Building blocks of Enterprise RAG

Explore the importance of Guardrails and the role they play in protecting your chatbots and systems

Hamza Farooq

Hamza Farooq

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