Complete Generative AI Course: RAG, AI Agents & Deployment

The "Complete Generative AI Course: RAG, AI Agents & Deployment" by Siddhardhan S is a comprehensive roadmap designed to transition developers from Generative AI enthusiasts into production-ready AI Engineers. Starting with the core mechanics of Large Language Models (LLMs) and the foundational Transformer architecture, the course quickly moves into hands-on application development. Students will dive deep into Retrieval-Augmented Generation (RAG) to overcome model knowledge limits by grounding AI responses in custom, proprietary data. The curriculum uniquely covers modern paradigms like Model Context Protocol (MCP) and multi-agent systems, teaching learners how to coordinate multiple specialized agents for complex problem-solving. Beyond local development using Ollama and Streamlit, this course places a heavy emphasis on real-world cloud deployment. You will learn to containerize your AI applications with Docker, optimize LLM serving using vLLM, and deploy production pipelines on AWS EC2. Whether you are a software engineer expanding your toolkit or an AI enthusiast seeking to build a robust professional portfolio, this course provides the structured path and practical engineering skills needed to deploy intelligent, agentic systems at scale.