LLM Engineering, RAG, & AI Agents Masterclass [2026]

This masterclass, led by industry expert Prof. Ryan Ahmed, offers an intensive, hands-on path for developers, data scientists, and tech enthusiasts aiming to establish themselves as elite AI Engineers. Designed around modern agentic architectures, the curriculum bridges the gap between theoretical machine learning and practical, production-ready AI applications. Students will dive deep into foundational Large Language Models (LLMs) and rapidly transition into constructing advanced Retrieval-Augmented Generation (RAG) pipelines using LangChain, ChromaDB, and Pydantic. What sets this course apart is its comprehensive coverage of multi-agent orchestration frameworks like AutoGen, LangGraph, CrewAI, and the cutting-edge Model Context Protocol (MCP). Learners will master complex workflows involving tool calling, state management, and human-in-the-loop interventions. From building automated booking agents to developing collaborative data science teams, the practical projects ensure that graduates possess a robust portfolio. Whether you want to optimize model latency, fine-tune open-source models using parameter-efficient techniques like LoRA, or integrate seamless automation with n8n, this 14-day bootcamp style curriculum delivers the precise skills needed to succeed in the rapidly evolving AI landscape.