Generative AI Application Development

In this course, you will learn basic skills that will allow you to use the Databricks Lakehouse Platform to perform a simple data engineering workflow. You will be given a tour of the workspace, and you will be shown how to work with notebooks. You will create a basic data engineering workflow while you perform tasks like creating and using compute resources, working with repositories, and creating and managing basic workflow jobs. The course will also introduce you to Databricks SQL. Finally, you will see how data is stored, managed, governed, and secured within the lakehouse.

Languages Available: English | 日本語 | Português B

This course introduces you to evaluating and governing generative AI systems. First, you’ll explore the meaning behind and motivation for building evaluation and governance/security systems. Next, we’ll connect evaluation and governance systems to the Databricks Data Intelligence Platform. Third, we’ll teach you about a variety of evaluation techniques for specific components and types of applications. Finally, the course will conclude with an analysis of evaluating entire AI systems with respect to performance and cost.

The course covers details about how to deploy, operationalize, and monitor generative deploying, operationalizing, and monitoring generative AI applications. The course will help you gain skills in the deployment of generative AI applications using tools like Model Serving. It also covers how to operationalize generative AI applications following best practices and recommended architectures. Finally, the course discusses the idea of monitoring generative AI applications and their components using Lakehouse Monitoring.