Prompt Engineering Practitioner
Prompting treated as an engineering discipline: structured, testable, versioned. Learners build prompt libraries with evaluation criteria rather than trial-and-error one-liners.
Who it is for
Power users, AI champions, internal trainers, product and technical staff who will design prompts other people depend on.
What the course covers
- Anatomy of a production-grade prompt and why structure beats cleverness
- Core patterns: few-shot, chain-of-thought, decomposition, role-and-persona, output schemas
- Controlling format: JSON, tables, markdown and structured output for downstream systems
- Prompt testing and evaluation: building a small eval set and measuring changes
- Prompt libraries, versioning and governance across a team
- Failure modes: hallucination, prompt injection, context loss and how to mitigate each
Frequently asked questions
Who is Prompt Engineering Practitioner for?
Power users, AI champions, internal trainers, product and technical staff who will design prompts other people depend on.
How is the course delivered?
As a live, instructor-led private cohort for your team: 1 day(s), online by default, on site by arrangement, tailored to your industry and tools.
How is it priced?
Per engagement rather than per seat, based on group size, customisation and delivery mode. Tell us your team and goals and you get a written proposal, usually within one business day.
Looking for a certified AI foundation? ICP-FAI, Foundations of AI is the ICAgile-certified companion to every course here. For a phased organisation-wide programme, see the Enterprise AI Readiness Programme, or watch real class feedback from our cohorts.