This course is designed for engineers who want to go beyond basic Generative AI and learn how real-world AI systems are built and optimized. Instead of focusing on prompts, we take a hands-on, system-level approach. You will learn: • Model Context Protocol (MCP) and how AI interacts with tools • Retrieval-Augmented Generation (RAG) with better chunking and retrieval strategies • Supervised Fine-Tuning for domain-specific improvements • GPU Inference, including KV cache, latency, and cost optimization • Model Evaluation using quality, cost, and latency By the end, you will understand how to design and build production-ready GenAI systems, not just use them.