Learn to build, deploy, and manage generative AI applications effectively on the Databricks Data Intelligence Platform.
Overview
This comprehensive guide delves into the fundamentals of generative AI, exploring its core concepts, capabilities, and diverse applications. Students will learn how the Databricks Data Intelligence Platform empowers the development, deployment, and governance of generative AI applications. Key topics covered include understanding large language models (LLMs), Retrieval Augmented Generation (RAG) architectures, prompt engineering, and the full lifecycle management of AI apps on a unified platform. It's designed for developers, data scientists, and AI engineers looking to leverage Databricks for real-world generative AI solutions, providing both theoretical background and practical guidance.
Learning Outcomes
Understand the core concepts and capabilities of generative AI.
Identify key benefits of building generative AI applications on Databricks.
Explain how Databricks supports the full lifecycle of generative AI apps.
Recognize common use cases for generative AI applications.
Familiarize with essential Databricks features for generative AI development.
Grasp the role of LLMs and RAG in generative AI solutions.