Learning Series | Deploy Workloads with Lakeflow Jobs

Advika — Tue, 31 Mar 2026 10:28:06 GMT

Automate your data, analytics, and AI workflows with the Deploy Workloads with Lakeflow Jobs course. Learn to use Lakeflow Jobs as a unified orchestration platform to build robust, production-ready pipelines natively within the Databricks Data Intelligence Platform.

What you’ll learn

DAG Implementation: Design data workloads using Directed Acyclic Graphs (DAGs) to manage tasks and dependencies
Scheduling & Triggers: Configure manual, scheduled, file arrival, and continuous triggers for automation
Advanced Workflows: Use conditional task execution, run-if dependencies, for-each loops, and repair runs for fault-tolerant design
Production Best Practices: Apply modular orchestration, proper compute selection, and error handling techniques

Who should take this course?

This course is designed for those who:

Have completed "Get Started with Databricks for Data Engineering" or have equivalent platform experience
Are comfortable with Python/PySpark and Intermediate SQL
Understand core concepts like Spark, Delta Lake, the Medallion Architecture, and Unity Catalog

Course format & details

Syllabus: 4 Sections | 21 Lessons
Duration: 2 hours
Skill Level: Associate
Cost: FREE

Enroll in the Course

topic Learning Series | Deploy Workloads with Lakeflow Jobs in Announcements

Learning Series | Deploy Workloads with Lakeflow Jobs

What you’ll learn

Who should take this course?

Course format & details