Cohort 1

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

Hamza Farooq

Agentic RAG Systems & Multi-Agent Architectures: Developers Edition

Google

Ucla

University of Minnesota

🧠 Masterclass in Agentic RAG &amp; Agent Deployment: Build Autonomous Systems with Routers, Agents, and Real-World LLMsWelcome to the AI builder's dojo — a technically rigorous, unapologetically hands-on course for those who are done watching tutorials and ready to build autonomous, production-grade AI systems. This isn't another passive online course. It's 15 live sessions — 7 deep-dive classes, 7 interactive office hours, and 1 epic Demo Day where you’ll present real builds. We’ve stretched the course across 10 weeks so you can properly design, implement, and refine Agentic RAG systems with custom agents and routing logic — not just copy and paste pipelines. 🔧 What Makes This Course Different? Other courses teach you what RAG is.We go further — into Agentic RAG with intelligent routers, agent collaboration, and context-aware decision making. Other courses demo CrewAI or AutoGen.We teach you to build your own autonomous agents — and ship them to production. Other courses use cosine similarity.We’ll show you how to build retrieval systems that adapt, scale, and reason. 🧩 Who This Is ForIf you’ve already built basic RAG apps, understand cosine similarity, vector databases, encoder-decoder models, and have some comfort with APIs and cloud infra — this is the advanced course you've been waiting for. 💥 What You Get -10 weeks of live, high-signal content-Weekly office hours for deep-dive help-Real-world projects that you actually ship-Guest lectures from AI industry leaders-Early access to Traversaal.ai experimental tools-Lifetime access to all materials &amp; future updates 🚀 What You’ll Build and Learn 🧠 Agentic RAG: Beyond Just RetrievalDesign full-stack retrieval systems with autonomous agents, semantic chunking, and dynamic routers that reason about context and orchestrate multi-step tasks across tools and APIs. 🧭 Build Your Own Agent &amp; Router FrameworkNo CrewAI, no wrappers. Build agents and decision routers from scratch. Understand how they communicate, choose tasks, and act — like actual autonomous systems. 📦 Hosting &amp; Deploying LLMsDeploy LLMs across cloud and serverless infrastructure, create inference endpoints, and understand how to monitor and scale them in real-world settings. 🔁 Continual Pretraining &amp; Fine-TuningAvoid catastrophic forgetting while building pipelines for continual learning using causal language modeling and domain-specific corpora. 🧬 Model Merging &amp; MoEsMerge models with mergekit, use Mixture of Experts (MoE), and build adaptive routing strategies for better performance at scale. 🧮 Quantization &amp; Inference OptimizationSpeed things up and slim things down. Use quantization strategies that make your models faster and lighter without losing performance. 🛡️ Responsible AI GuardrailsIntegrate ethics and safety using tools like NeMo, Colang, and Llama Guard to make sure your AI systems stay aligned and compliant. 🧠 Knowledge Graphs &amp; DSPyStructure your world with knowledge graphs and tap into DSPy to add logic and transparency to your AI’s decisions. Throughout the course, we’ll reverse-engineer some of the most innovative AI systems out there — and give you exclusive access to early-stage tools being developed at Traversaal.ai, my AI startup. 📌 PrerequisitesHands-on experience building RAG-based appsUnderstanding of LLMs, encoders/decoders, and APIsSome exposure to cloud platforms and basic DevOps 👉 Need a foundational course first? Try my other offering: Building LLM Applications✨ This Course Is For BuildersIf you're looking for a shortcut, this isn’t it. If you're ready to build autonomous AI systems that route intelligently, retrieve precisely, and reason like humans —

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

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

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What people are saying

Meet your instructor

Saturdays

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

Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

Learn with a cohort of peers

Join <a href="https://boring-bot.kit.com/7406531a79" rel="noopener noreferrer" target="_blank">here</a> today

Course completed by

About this course

Get notified about the next cohort

Learn from live sessions