Databricks Academy offers the free Automated Deployment with Declarative Automation Bundles course to help data engineers apply DevOps practices to Databricks projects. As the fourth course in the Advanced Data Engineering with Databricks series, it focuses on practical ways to automate deployments, manage configurations across environments, and improve delivery workflows with CI/CD.
You’ll learn to:
- Understand DevOps for Databricks projects: Review core DevOps, DataOps, CI/CD, and testing concepts, and see how they apply to data engineering workflows.
- Use DABs to simplify deployment: Learn how Declarative Automation Bundles are structured and how they help manage Databricks deployments across environments.
- Deploy and manage bundles with the Databricks CLI: Validate, deploy, run, and update bundles with different configurations for multiple target environments.
- Support modern deployment workflows: Explore how Visual Studio Code and GitHub Actions can help streamline local development and CI/CD automation.
Designed for:
- Data engineers working on Databricks deployment and automation
- Users with strong Databricks platform knowledge and experience with Spark, Delta Lake, Unity Catalog, DLT, and Workflows
- Learners familiar with Python, SQL, Git, and CI/CD principles
Course format & details:
- Series: Fourth course in the Advanced Data Engineering with Databricks series
- Syllabus: 3 sections | 21 lessons
- Duration: 2 hours
- Skill level: Professional
- Cost: Free
- Includes labs: No
- Languages: English, Japanese, Korean
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