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Take AI systems into production and keep them there.

AI Platform Engineering

The most advanced programme. It assumes you already engineer software and focuses on what breaks when AI systems meet production: latency, cost, evaluation, retrieval quality, guardrails and observability.

What you learn

  1. Assumed engineering baseline, calibrated on entry.

  2. Retrieval architecture and inference services.

  3. Agents, tool use and orchestration under constraints.

  4. Evaluation, guardrails, observability, cost and latency.

  5. A production-shaped AI system with an evaluation story.

Protected programme depth

Illustrative redaction. Detailed module content, lab briefs and assessments are shared with enrolled candidates.

Technologies

PythonModel serving & inferenceRetrieval architectureEvaluation harnessesAgent orchestrationGuardrails & safety controlsObservability for AICost & latency engineering

Roles this prepares you for

  • AI Engineer
  • GenAI Engineer
  • AI Platform Engineer
  • Forward Deployed Engineer

What you leave with

  • An AI service with measured quality, not vibes
  • Retrieval you can justify architecturally
  • Operational evidence: traces, evals, cost and failure handling

Duration & fees

Confirmed during consultation, based on your entry point and cohort. Published figures will appear here once finalised.

Admissions & fees →

Questions about this programme

Engineers already working in technology who want to move into AI-era platform roles. Entry is calibrated during consultation.

One conversation
changes the route.

Tell us where you are. We'll tell you honestly what the path looks like from here.

Ready to become an engineer for the AI era?

Book a consultation