Databricks Forward Deployed Data and AI Engineering

Proposed instructor-led duration; delivery subject to environment and lab validation. Enrolment is by private-cohort enquiry. No start date is published.

This path uses the Azure Databricks edition of the Forward Deployed Delivery Practicum. The other editions are alternatives on that same course.

Ordered stages

1. Stage 1

   F01: AI and Generative AI Foundations

   16 hours · Foundation

2. Stage 2

   F02: Python, APIs and Git for AI Engineering

   40 hours · Foundation

3. Stage 3

   F05: SQL and Data Engineering Foundations

   40 hours · Foundation

4. Stage 4

   F07: Databricks Engineering Foundations

   40 hours · Foundation

5. Stage 5

   D02: Databricks Data and AI Solution Engineering

   48 hours · Practitioner / specialist

6. Stage 6

   E04: Forward Deployed Delivery Practicum

   24 hours · Practitioner / specialist

Experience gates and direct entry

Full listed taught sequence, shared prerequisites counted once. Prior competence can reduce attendance; no claim of zero-to-professional readiness.

Direct entry is allowed when equivalent experience is demonstrated. Prerequisite links on each programme stay in place.