David LeBlanc

This hands-on course introduces Databricks Apps, a new 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 with an overview of the main components of Databricks Apps, followed by the deployment of a simple app using available templates. Next, you will learn how to build and deploy a data-driven application that integrates with other platform features. The course then covers how to set up an IDE for Databricks Apps, and how to edit and deploy an app using an IDE. It concludes with how to implement security and best practices for an enterprise app. Note: Hands-on training courses will be updated to reflect the newest product and feature announcements from Data + AI Summit in June 2026. Prerequisites - Familiarity with core Databricks components, including workspaces, clusters, SQL warehouses, Unity Catalog, Jobs, and Model Serving

This course explores how AI-assisted development can accelerate the journey from concept to functional application. In this hands-on lab, participants will use Databricks Genie Code to transform plain-language ideas into a working Databricks App, then iteratively refine that app by identifying issues, improving prompts, and applying production-oriented best practices. Along the way, attendees will examine common pitfalls in AI-generated code, understand how prompt quality impacts outcomes, and develop practical strategies for creating more accurate, reliable, and enterprise-ready applications. Ideal for developers, architects, and technical professionals looking to harness generative AI as a meaningful part of the modern software development lifecycle.

This hands-on course equips learners with the skills to design, implement, and manage catalog structures and large-scale data organization using Unity Catalog in Databricks. Participants will learn to configure secure and scalable storage integrations, as well as implement access controls and isolation strategies for effective data governance. Note: Hands-on training courses will be updated to reflect the newest product and feature announcements from Data + AI Summit in June 2026. Prerequisites - Familiarity with the Databricks Data Intelligence Platform, including workspaces and notebooks - Intermediate SQL experience, including creating tables, views, and functions, and managing database object permissions - Understanding of Unity Catalog's hierarchical object model (metastore, catalogs, schemas, tables, volumes, models) - Basic understanding of data governance concepts, including access control, row-level security, column masking, and fine-grained access controls - Basic knowledge of data lineage, metadata management, and cloud computing concepts (compute, storage, identity management)