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VNode learning path

Foundry AI Evaluation and Quality Engineering

176 unique taught hours across 5 ordered stages. Full listed taught sequence, shared prerequisites counted once. Prior competence can reduce attendance; no claim of zero-to-professional readiness.

176 taught hours5 stagesDirect entry by experience
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

    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

    F03: Azure Foundations for AI Delivery

    24 hours · Foundation

  4. Stage 4

    E02: Applied AI Engineering with Microsoft Foundry

    56 hours · Practitioner / specialist

  5. Stage 5

    O01: AI Evaluation and Quality Engineering (O01)

    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