AI/BI for Data Analysts

In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine.

Skill Level

Associate

Duration

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

A basic understanding of SQL for querying existing data tables in Databricks.
Prior experience or basic familiarity with the Databricks Workspace UI.
A basic understanding of the purpose and use of statistical analysis results.
Familiarity with the concepts around dashboards used for business intelligence.

Outline

Introduction and OverviewAI/BI Dashboards

Just enough SQLDesigning Datasets for DashboardsCreating Visualizations and adding Summary Statistics to DashboardsAI Enhanced FeaturesFilters and ParametersSharing Dashboards with Stakeholders and OthersManaging Dashboards in ProductionDashboard and Visualization Lab Activity

AI/BI Genie
Introduction and OverviewAI/BI GenieDeveloping Genie SpacesSharing Genie SpacesMaintaining Genie SpacesAI/BI Genie Development Activity Lab

Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	May 26	11 AM - 03 PM (Asia/Singapore)	-	English	$750.00
May 26	09 AM - 01 PM (America/New_York)	-	English	$750.00
Jun 05	09 AM - 01 PM (America/Los_Angeles)	-	English	$750.00
Jun 23	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jun 25	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jul 22	01 PM - 05 PM (Australia/Sydney)	-	English	$750.00
Jul 22	09 AM - 01 PM (America/New_York)	-	English	$750.00
Aug 07	09 AM - 01 PM (America/Los_Angeles)	-	English	$750.00

Public Class Registration

If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.

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Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	May 26	11 AM - 03 PM (Asia/Singapore)	-	English	$750.00
May 26	09 AM - 01 PM (America/New_York)	-	English	$750.00
Jun 05	09 AM - 01 PM (America/Los_Angeles)	-	English	$750.00
Jun 23	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jun 25	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jul 22	01 PM - 05 PM (Australia/Sydney)	-	English	$750.00
Jul 22	09 AM - 01 PM (America/New_York)	-	English	$750.00
Aug 07	09 AM - 01 PM (America/Los_Angeles)	-	English	$750.00

Registration options

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Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

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This course teaches how to build production-ready ETL pipelines using pure SQL on the Databricks Data Intelligence Platform. Students learn Streaming Tables with Auto Loader for incremental ingestion, Materialized Views with incremental refresh for Silver-to-Gold transformations, AUTO CDC (FLOW AUTO CDC) for declarative SCD Type 1 and Type 2 dimension management, and Lakeflow Jobs with SQL File tasks for production orchestration. The course follows a realistic retail dataset through the medallion architecture (Bronze → Silver → Gold).

Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.

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This brief 30-minute training introduces the audience to the features and capabilities of Databricks One.

Machine Learning Practitioner

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Advanced Machine Learning Operations

In this course, you will be provided with a comprehensive understanding of the machine learning lifecycle and MLOps, emphasizing best practices for data and model management, testing, and scalable architectures. It covers key MLOps components, including CI/CD, pipeline management, and environment separation, while showcasing Databricks’ tools for automation and infrastructure management, such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving. You will learn about monitoring, custom metrics, drift detection, model rollout strategies, A/B testing, and the principles of reliable MLOps systems, providing a holistic view of implementing and managing ML projects in Databricks.