Databricks Training

Video courses get started and rarely get finished. Live training keeps the whole team moving together, and every question gets answered by an instructor who also builds on Databricks for clients.

Format:

• Private cohorts for your team, scheduled around your calendar
• On-site or live virtual
• Hands-on labs in a Databricks workspace for every module
• Real-world examples from production client work

The official Databricks curriculum, taught by an official Databricks instructor.

Courses:

• Data Engineering with Databricks
• Advanced Data Engineering with Databricks
• Data Analysis with Databricks
• Machine Learning with Databricks
• Generative AI Engineering with Databricks
• Apache Spark Programming with Databricks

Each course lines up with a Databricks certification. We finish with an exam-focused review so your team goes into the exam ready.

Certifications:

• Data Engineer Associate and Professional
• Data Analyst Associate
• Machine Learning Associate and Professional
• Generative AI Engineer Associate
• Associate Developer for Apache Spark

After the course, optional workshops in your own workspace, on your own data, so the training turns into working code.

Examples:

• Migrating one real pipeline to Lakeflow Declarative Pipelines
• Setting up Unity Catalog for your organization
• Building your first production ML model with MLflow