Databricks Asia-Pacific Learning Festival

This course is a comprehensive, hands-on introduction to the Databricks Data + AI Platform. You will follow a single end-to-end journey that starts in the workspace and finishes with an introduction to AI and machine learning, covering the everyday skills you need to work with data on Databricks.

The course covers:

• Navigating the Databricks workspace, compute options, and the Lakehouse versus Genie experiences.

• Understanding and ingesting data with Unity Catalog, including file upload and the Catalog Explorer.

• Working in Databricks notebooks and using Genie Code to write and debug code.

• Querying data with SQL, managing saved queries, and building dashboards and visualizations.

• Exploring data in natural language with Genie Agents.

• An introduction to AI and machine learning with MLflow and the Data Science Agent.

By the end of this session, you will be comfortable navigating Databricks, finding and governing data in Unity Catalog, writing SQL and notebook code with AI assistance, building dashboards, and exploring data with Genie.

This course introduces Databricks Apps, a feature that empowers developers to build and deploy secure data and AI applications directly on the Databricks platform. It is primarily designed for data scientists, data engineers, and developers who need to create custom applications that make data insights accessible to non-technical users within their organizations.

The course begins provides an overview of the main components of Databricks Apps, followed by the deployment of simple apps that integrates with an external service as well as a Databricks resource. 

This course teaches you how to design, build, and maintain a Databricks Genie Agent, a natural language interface that enables business users to ask questions about governed data and receive SQL-backed answers without writing code.

You will learn how Genie Agents fit into the Databricks AI/BI product family and how they translate natural language into reliable SQL queries. The course focuses on what it takes to create a Genie Agent that delivers accurate, consistent, and trustworthy results.

You will follow a complete end-to-end workflow, from understanding source data and defining benchmarks to configuring and refining a Genie Agent using the full set of Knowledge Store curation tools. These include metadata, synonyms, prompt matching, SQL logic, example queries, and text instructions.

You will also learn how to share Genie Agents with business users through Genie One, understand how Unity Catalog governance is automatically enforced, and use monitoring and user feedback to continuously improve quality over time.

By the end of the course, you will be able to create and manage a production-ready Genie Agent that delivers governed, self-service conversational analytics at scale.