This comprehensive course is built from the ground up. We go far beyond standard prompt templates to cover the engineering rigor required for dependable AI systems. You will master everything from context window trimming and compaction strategies to cutting-edge features like Lakebase serverless Postgres for persistent agent memory, Model Context Protocol (MCP) tool integration, and absolute context governance via Unity Catalog.

This course bridges the gap between general AI theory and platform-specific execution on Databricks. This curriculum focuses intensely on the modern Databricks AI ecosystem. You will dive deep into building Retrieval-Augmented Generation (RAG) applications, multi-stage agentic workflows, scalable vector indexing, and automated LLM evaluation.

This intensive, hands-on course bridges the gap between data science and DevOps. You will learn how to design, deploy, and scale intelligent operations (AIOps) by leveraging the massive processing power of Databricks and the seamless automation of GitHub Actions.