Prompt Engineering & Context Design
Prompt structure, context design, iterative prompting, constraints, examples, verification and responsible use.
Learn the subject in context—not as isolated information.
Learn to structure instructions, context and constraints so AI becomes a useful learning and work assistant. The course workspace is designed to connect explanation with questioning, practical application and evidence that you understand what you are doing.
Active engagement is built into the learning process.
Topics are organised into a clear learning path rather than random prompts or disconnected content.
Guided prompts support questioning, explanations and challenges while keeping the learner responsible for understanding.
You apply the idea, explain decisions, correct mistakes and work through practical tasks.
Learning records, reflections and submissions give mentors context for correction and the next learning step.
The public page helps you understand the learning path first. Actual course participation, progress and guided lesson activity happen after student onboarding and sign-in.