This hands-on course offers a comprehensive, step-by-step guide to building a fully automated CI/CD pipeline tailored for Azure Databricks using GitHub Actions. You’ll begin by understanding the core principles of continuous integration and continuous deployment in a data engineering context, with a strong focus on real-world applications, scalable development practices, and modern DevOps methodologies. As the course progresses, you’ll learn how to configure GitHub Actions to securely connect with your Databricks workspace, leveraging access tokens and environment secrets to enable robust automation and secure, repeatable deployments.
Through practical demonstrations, you’ll discover how to validate notebooks automatically, enforce coding standards, and sync changes directly into your Databricks repositories. The course will show you how to structure your workflows to handle deployments across multiple environments—such as development, staging, and production—ensuring code quality, consistency, and traceability at every stage. You’ll also gain hands-on experience in triggering Databricks jobs programmatically, managing workspace assets via the Databricks CLI, and setting up reusable GitHub Actions to streamline future automation efforts.
By the end of the course, you’ll have the skills and confidence to implement enterprise-ready CI/CD pipelines that reduce manual intervention, improve deployment accuracy, boost productivity, and accelerate your team’s data delivery lifecycle within the Azure Databricks ecosystem.
- This course is for beginners and professionals interested in becoming an Azure Data Engineer and DevOps Engineer.
