How language models actually behave
Build an accurate mental model of the technology before you build on top of it.
£249 programme
Mai Studies Original · Artificial Intelligence
Agentic AI and LLM Engineering
The move from chat demos to working agents is where most teams stall. This programme takes you through how large language models actually behave, how to specify work for them, how to give them tools and grounded data, and how to evaluate, cost and guard them before they touch a customer. Every lesson is written in-house and assessed with practical work rather than recall.
10 weeks 60 guided hours Intermediate to Advanced
This programme carries its own fee in addition to membership, and gives you twelve months to complete it. Your certificate is issued once the fee is paid.
What you will achieve
- Explain in plain terms what a language model can and cannot reliably do
- Write prompts and schemas that behave like specifications, not wishes
- Build an agent loop with tools, retrieval and memory
- Evaluate agent output with a repeatable test set instead of vibes
- Control cost, latency and failure modes before release
Entry guidance
- — Comfortable writing basic Python or JavaScript
- — Some experience calling an HTTP API
Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
3 applied modules
4h
Building an agent that does real work
Tools, the agent loop, retrieval and memory, assembled into something useful.
Evaluation, cost and shipping
Prove it works, know what it costs, and keep it safe in front of real users.