Free course material
Turn clever prompts into dependable systems.
Modern Prompt Engineering
Move from wording tricks to behavior contracts, context engineering, evaluation, PromptOps, and human-centred AI design.
What this course is about
A practical path from understanding to application.
Prompt engineering is now part of systems engineering. This course shows how to design instructions, examples, schemas, context, retrieval, tools, bounded autonomy, and evaluation together so AI applications can be improved deliberately and operated responsibly.
Covered material
What learners will work through.
- Instruction contracts, message roles, examples, schemas, and structured outputs
- Context engineering, retrieval, evidence, and selective reasoning
- Tool use, bounded agents, workflow design, and human decision boundaries
- Prompt evaluation, regression testing, quality, cost, latency, and risk
- PromptOps: versioning, deployment, monitoring, rollback, and model changes
- Responsible, accessible, and human-centred AI system design
Who it is for
Meet learners where they are.
Anyone who designs, manages, builds, evaluates, or works with AI systems—including executives, product teams, analysts, educators, developers, and technical leaders.
Adapt this course
Bring the material to your organization.
We can adapt the level, examples, exercises, and pace for executives, non-technical groups, technical teams, or mixed audiences. Sessions combine theory with practical and coding work where it fits, led by educators who meet with your group.
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Workforce adoption & capability
Connect open learning with the strategy, delivery, and adoption support around it.