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
Assumed engineering baseline, calibrated on entry.
Retrieval architecture and inference services.
Agents, tool use and orchestration under constraints.
Evaluation, guardrails, observability, cost and latency.
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
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.
No. Prompting is a small part. The programme is about the systems engineering around models: retrieval, serving, evaluation and operations.
One conversation
changes the route.
Tell us where you are. We'll tell you honestly what the path looks like from here.
