Power users get dramatically better results not from secret tricks but from understanding the tool. This module explains what a language model actually does, where and why it fails, how context windows and memory work, and what temperature and similar controls really change.

A great prompt is engineered, not guessed. This module gives you a four-part framework for structuring prompts, shows why specificity is the most underrated skill, how to teach the model by example with few-shot prompting, and how to iterate through the edit loop toward an excellent result.

Beyond the basics lies a set of techniques that separate casual users from experts. This module covers chain-of-thought prompting for reasoning, role and persona prompting, meta-prompting and reusable templates, and how to handle hallucinations and verify what the model gives you.

Real productivity comes from workflows, not one-off prompts. This module shows how to break work into AI-ready chunks, how to run a reliable multi-pass workflow, how to build a personal prompt library — and, just as important, how to recognise the tasks where you should not use AI at all.

The major AI tools are not interchangeable. This final module is a practical deep-dive into the strengths, limits, and best uses of the leading assistants, when it's worth switching between them, and how to integrate AI into your everyday Microsoft 365 workflow.