Agentic Data Engineering (AI + Pipelines) with Databricks

About this course

Have you ever heard of Agentic Data Engineering? In this course, you will learn how to build professional data pipelines in Databricks using the power of Artificial Intelligence as a copilot — and not just as a theoretical concept, but in practice, from zero to a complete real project.

Databricks is today one of the most in-demand data platforms on the market, and the combination of Data Engineering and Agentic AI (agents that generate, review, and optimize pipelines) is one of the skills most valued by companies looking for professionals capable of delivering results with more speed and quality.

Throughout the course, you will:

• Understand what Lakehouse is and why this architecture replaced traditional Data Lake and Data Warehouse models
• Create your free Databricks account (Free Edition) and navigate the interface with confidence
• Master the Medallion Architecture (Bronze, Silver, and Gold) to organize data in a scalable way
• Configure Unity Catalog for governance and security of your data
• Use Genie and Lakeflow to generate complete ETL pipelines from natural language
• Review, adjust, and apply best practices to AI-generated pipelines before putting them into production
• Automate executions with scheduling (Schedule) via Jobs & Pipelines

Apply all of this in a real hands-on project, the Bakehouse case, building a complete pipeline from scratch to the Gold layer, with final validation and file organization

This course was designed for those who want to move beyond theory and get hands-on. You don't need prior experience with Databricks: the course starts from absolute zero, using the free version of the platform, and evolves step by step toward a portfolio project you can show in interviews and on LinkedIn.

Read the full description on Udemy on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.