Learning paths

Start on the trunk. Then take your line.

8 paths, about 270 hours in all. Every stop is a stage, in the order it makes sense; your stops fill in as you mark pages done.

Start here
  1. SQL & Python Foundations~25 h
    1. SQL on Databricks
    2. SQL that does work
    3. Python and PySpark
    4. Transforming data
  2. Lakehouse Foundations~20 h
    1. The platform
    2. Storage
    3. Governance
    4. Working in the lakehouse
Data EngineeringIntermediate · 6 stops · ~60 h
  1. Ingest
  2. Transform
  3. Declare
  4. Orchestrate
  5. Operate
  6. Ship
Data Engineer Associate
Governance & SecurityIntermediate · 4 stops · ~15 h
  1. The catalog
  2. Access control
  3. Fine-grained access
  4. Sharing
Data Engineer Associate
Platform & AdministrationAdvanced · 4 stops · ~25 h
  1. Compute
  2. Governing compute
  3. Performance
  4. Troubleshooting
Data Engineer Associate
SQL & AnalyticsBeginner · 3 stops · ~30 h
  1. Foundations
  2. Model for BI
  3. Query and serve
warehouse & BI
Machine LearningIntermediate · 3 stops · ~50 h
  1. Foundations
  2. Experiment
  3. Register and serve
models
Generative AIAdvanced · 4 stops · ~45 h
  1. Foundations
  2. Models
  3. Retrieval
  4. Agents
LLMs & agents

Paths are the order we teach in. Looking something up? Browse by area. Preparing an exam? The certifications follow the official guide, domain by domain.