What you'll learn

Building reliable data pipelines requires more than writing code that works. Data engineers must know how to manage that code through version control, configure it to run correctly across different environments, and deploy it in a consistent, automated way. In this course, Databricks Certified Data Engineer Associate: Implementing CI/CD, you'll gain the ability to manage, configure, and automate the deployment of Databricks workspace assets with confidence. First, you'll explore how to manage code development workflows using Databricks Git Folders, including branching, committing, pushing changes, and creating pull requests without leaving the workspace. Next, you'll discover how to configure Automation Bundle variables and overrides so the same codebase can be promoted across dev, test, and prod environments while preserving the settings unique to each one. Finally, you'll learn how to deploy Declarative Automation Bundles to package and promote Lakeflow Jobs and Spark Declarative Pipelines, and how to use the Databricks CLI to validate, deploy, and manage those bundles as part of an automated CI/CD workflow. When you're finished with this course, you'll have the skills and knowledge of Databricks CI/CD needed to confidently manage code, configure environment-specific deployments, and automate the release of data engineering assets in production environments.