Description 

This hands-on, advanced workshop is designed for developers who want to go beyond the basics and gain mastery over Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and agentic systems. You will learn how to design scalable, intelligent AI systems capable of reasoning, retrieving knowledge, and acting autonomously. 

By the end of the workshop, you will have the skills to build production-grade AI applications, fine-tune LLMs for specific use cases, and design AI agents capable of orchestrating complex workflows. 

You will Gain: 

• Understand the internal mechanics of LLMs and how to customize them 

• Master RAG – the architecture behind real-world, knowledge-rich GenAI systems 

• Build AI agents that can think, retrieve, reason, and act independently 

• Learn how to integrate vector databases, embeddings, and fine-tuning workflows 

• Stay competitive in the evolving AI-driven software industry 

Main Topics 

• LLMs – A Deep Dive 

• Vector Databases and Embeddings 

• Fundamentals of Retrieval-Augmented Generation (RAG) 

• Advanced RAG Techniques & Strategies 

• Fine-tuning LLMs 

• What is Agentic AI? 

• What Are AI Agents? How They Work & Build Your Own 

Target Audience 

• Software Developers and Engineers exploring advanced AI capabilities 

• AI Engineers and Architects looking to scale AI systems 

• Tech Leads and CTOs planning to integrate GenAI across products 

Anyone building real-world AI solutions who wants to go beyond prompting