Databricks: Build a Practical Data Foundation for AI

Build a practical data foundation for AI in this live online Databricks and Mojo AI Studio class on 23 August 2026. Learn how reusable “data bricks” can power apps, agents, dashboards and automation workflows. ## Turn scattered information into useful AI building material Reliable AI products depend on more than models and prompts: they need data that has been collected, structured and prepared with its eventual use in mind. In this practical session, Scott will introduce the idea of Data Bricks,small, reusable data components designed to support multiple downstream systems and business needs. Rather than getting lost in enterprise terminology or focusing on memorising a single platform, the class explores data architecture as a practical discipline. You’ll learn how to think of data as building material that can be shaped into dependable foundations for AI applications. The session will examine: - What data to collect for an AI product or workflow - How to structure information so that it can be reused - Why cleaning data matters before it reaches an AI system - How to preserve the context that gives data meaning - Ways data components can support AI apps and agents - How the same foundations can feed dashboards, automations and business workflows - What needs to happen before downstream AI systems can produce reliable results ## Who is it for? This class is aimed at builders who want a clear, practical approach to data architecture without the “enterprise fog.” It should be relevant to people working on artificial intelligence applications, low-code products, automation workflows, dashboards or agent-based systems, especially those dealing with fragmented information that needs to become reusable and dependable. The emphasis is on understanding transferable principles rather than chasing buzzwords. Attendees can expect a conceptual and practical framework for deciding how information should be collected and prepared before it becomes part of a real AI product. ## Event format… Register for this event