02 / AI Engineering
AI Engineering training.
The engineering around large language models: structured outputs, retrieval, tools, evaluation, security, and the production behaviour of a non-deterministic component.
4 courses · private corporate training · on-site or remote
Talk to us about a programme See AI Engineering in the catalogue
Courses
3 days · Intermediate · AI Engineering
AI Engineering for Software Developers
A three-day programme for professional software engineers: how to build real applications with modern AI, from model APIs and RAG through agents, evaluation and production patterns.
Software developers
2–3 days · Intermediate · AI Engineering
Building Applications with Generative AI
A two-to-three-day build course for software engineers: take an AI-powered application from architecture through RAG, tools, evaluation and deployment, ending with an end-to-end system.
Software engineers and technical teams
1 day · Intermediate · AI Engineering
Evaluating and Testing LLM Applications
A one-day course on evaluating non-deterministic systems: golden datasets, semantic checks, LLM-as-judge, retrieval and agent evaluation, and the pipeline that keeps quality from drifting.
AI developers, QA engineers and technical leads
1 day · Intermediate · AI Engineering
Securing Generative AI Applications
A one-day security course for developers, security engineers and architects: the specific risks created by LLM applications, and the controls that actually reduce them.
Developers, security engineers and architects
Pathways
Suggested pathways
Developer pathway
For software engineers who need to move from a working understanding of generative AI to systems they can run in production.
- 01Generative AI Fundamentals
1 day · Foundation
- 02AI Engineering for Software Developers
3 days · Intermediate
- 03RAG: From Fundamentals to Production
2 days · Intermediate
- 04Building AI Agents
2 days · Advanced
- 05Production AI Architecture
2 days · Advanced