Microsoft AI Foundry track — available for enterprise team delivery

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VNode learning path

Databricks Unity Catalog Governance

200 unique taught hours across 6 ordered stages. Full listed taught sequence, shared prerequisites counted once. Prior competence can reduce attendance; no claim of zero-to-professional readiness.

200 taught hours6 stagesDirect entry by experience
Request a private cohortAll learning paths
Proposed instructor-led duration; delivery subject to environment and lab validation.

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

Ordered stages

  1. Stage 1

    F02: Python, APIs and Git for AI Engineering

    40 hours · Foundation

  2. Stage 2

    F05: SQL and Data Engineering Foundations

    40 hours · Foundation

  3. Stage 3

    F07: Databricks Engineering Foundations

    40 hours · Foundation

  4. Stage 4

    F01: AI and Generative AI Foundations

    16 hours · Foundation

  5. Stage 5

    F11: Data Governance, Security and AI Risk Foundations

    24 hours · Foundation

  6. Stage 6

    G06: Data and AI Governance with Databricks Unity Catalog

    40 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.

Kriya AI