Databricks Interactive Architecture Design Workshop

In this course, you will learn how to use Databricks AI/BI Genie to interact with your organization's data using natural language. As a business user, you will learn how to locate and access Genie spaces, ask effective data questions using the SPARK framework, validate and interpret Genie responses, generate visualizations from results, provide feedback to Genie space administrators, and share insights with colleagues. This course covers both standard Genie interactions and Genie Agent Mode for deeper exploratory analysis, empowering business users to go beyond static dashboards and get self-service answers from governed, secure data.

This course teaches students how to systematically evaluate AI agents using MLflow's evaluation framework, addressing the unique challenges of non-deterministic AI systems that traditional software testing cannot handle. Students learn to implement various evaluation approaches including built-in judges for common criteria like correctness and safety, guideline judges for business-specific requirements, and custom judges for specialized needs. The course covers both offline evaluation using curated datasets and online production monitoring, with hands-on experience using MLflow's tracing capabilities to understand agent execution patterns and collect human feedback from different stakeholder types. Through practical demonstrations and labs, students develop skills in creating evaluation workflows that drive continuous quality improvements throughout the AI agent development lifecycle.

This Get Started with Databricks Free Edition workshop introduces new users to the Databricks environment through two guided notebooks:

    • Walk through the main workspace navigation and settings

    • Run notebooks in both Python and SQL

    • Format notebook content using basic Markdown

 02: Get Started with Databricks Free Edition

    • Explore Unity Catalog objects (catalogs, schemas, tables, volumes)

    • Upload a local file into a Volume

    • Access and use data from Databricks Marketplace

    • Ingest and visualize data within a notebook

    • Get a high-level tour of the SQL Editor and dashboards

By the end of this workshop, you’ll have hands-on experience navigating Databricks, working with data, and building simple visualizations — all within Databricks Free Edition.