Generative AI & prompt engineering Courses

An LLM is trained on huge amounts of text and predicts the next token in a sequence. That sounds simple, but that is exactly why it matters to understand: the model doesn't know anything in the traditional sense; it generates the most likely response. This explains both its strengths (fluent language, broad general knowledge, the ability to switch style and format) and its most important weakness, hallucinations, where the model delivers a convincing but incorrect answer. With that understanding in place, it becomes much easier to judge when you can trust an output and when it needs to be verified.

How well you write your prompts determines how useful the answer will be, whether you're working in ChatGPT, Claude or Copilot. You'll learn techniques such as few-shot prompting, where you show the model examples of the output you want, and chain-of-thought, where the model is guided through its reasoning step by step. You'll also learn how to structure instructions, define the scope of the task, control format and length, and give the model the context it needs to avoid imprecise or hallucinated answers. Prompt engineering isn't magic; it's a systematic approach that can be learned and reused across tools.

Most people encounter generative AI through a chat interface like ChatGPT or Claude. You'll learn to use these assistants effectively for brainstorming, writing, analysis, translation and problem-solving. The difference between a mediocre result and a strong one rarely comes down to the tool, but to how you work with it: how you provide context, break down a task and iterate on the responses. The tools look similar on the surface, but each has its own strengths, and you'll learn to choose the right one for the task.

Microsoft 365 Copilot brings generative AI directly into Word, Excel, PowerPoint, Outlook and Teams: drafting documents and emails, summarizing long threads and meetings, analyzing spreadsheets and producing first drafts of presentations, all with access to your organization's own files and conversations. You learn to use Copilot for concrete business tasks across functions such as management, sales and HR, to combine it with plugins and other Microsoft apps, and to build small, targeted agents with Agent Builder without code. Security professionals encounter the same technology in Microsoft Security Copilot, where generative AI is used to process security signals, investigate threats and respond faster to incidents.

The tools are only as safe as the way they're used. You learn what can be shared with an external service and what has to stay in-house, how Copilot inherits the permissions you already have to your company's data, and how to verify an answer before it ends up in a document, an email or a decision. If the whole organization needs to be involved, from guidelines to rollout, that's the subject of AI strategy & governance. The goal is a way of working where generative AI speeds up the work you'd be doing anyway, while responsibility for the content stays with you.