Databricks Mosaic AI Fundamentals: Building Generative AI Solutions

Generative AI is transforming how organizations leverage their data, but deploying custom large language models requires a secure and scalable platform. Databricks Mosaic AI provides the essential tools to build, fine-tune, and monitor enterprise-ready AI applications directly on your data lakehouse. This comprehensive text-based course guides you from the fundamental concepts of machine learning operations to deploying your first retrieval-augmented generation (RAG) application. You will gain a clear understanding of how to manage the lifecycle of AI models securely and efficiently. What you'll learn: Understand the core architecture of Databricks Mosaic AI and its role in the lakehouse; Configure secure data pipelines to prepare high-quality training datasets for AI models; Apply retrieval-augmented generation (RAG) patterns to connect LLMs with proprietary data; Explore basic prompt engineering and model fine-tuning workflows; Monitor model performance and manage deployments using modern MLOps best practices; Implement governance and security controls to protect sensitive enterprise data. The course begins with key terminology and foundational concepts of generative AI before guiding you through the practical steps of model configuration, deployment, and evaluation. Through structured written explanations and clear code examples, you will build a solid foundation in modern AI engineering. This course is designed for data analysts, software developers, and aspiring AI engineers who are new to Mosaic AI. No prior machine learning experience is required, though a basic familiarity with data concepts is helpful. Start your journey into enterprise generative AI today.