AI training · 07
AI for Technical & Digital Teams
Hands-on, prerequisites required — ships implementation outputs, not awareness.
Compact curriculum
- LLM and generative AI application architecture
- Prompt engineering and structured outputs
- RAG, embeddings and knowledge systems
- Agentic design, tool calling and integration
- From business needs to system designs
- Evaluation, guardrails and human approval
- Deployment, monitoring, cost and lifecycle
- Open-source, local and sovereign options
Formats
- Three-to-five-day laboratory programme
- Multi-week technical academy
Who it’s for
Developers, data professionals, IT departments, innovation labs, digital-transformation teams and technical public-sector units.
Strategic outcome
A working prototype or proof of concept, an evaluation plan and a production implementation blueprint.