Prompt Engineering Courses
5 courses on writing prompts that get better, more reliable results from AI tools — the practical skill of asking generative AI clearly enough to get what you actually need. Prompt engineering is a communication skill more than a technical one, and it applies to the tools people already use, from ChatGPT to Copilot to Gemini.
Most of the difference between a frustrating AI tool and a genuinely useful one comes down to how you ask. Prompt engineering is the skill of framing a request — giving context, examples, structure, and constraints — so a model returns something accurate and usable instead of vague or wrong. These courses teach that skill methodically rather than as a bag of tricks: why models respond the way they do, patterns that reliably improve results, and how to iterate when the first answer misses. They're aimed at anyone who uses generative AI and wants noticeably better output from it, whatever their job.
Prompt Engineering courses
5 courses on the Use AI track.
Craft effective prompts for Microsoft 365 Copilot
Microsoft Learn
Essentials of Prompt Engineering
AWS Skill Builder
Foundations of Prompt Engineering
AWS Skill Builder
Google Prompting Essentials
Google Skills
Understanding Prompt Engineering
DataCamp
Frequently asked questions
- What is prompt engineering?
- Prompt engineering is the practice of writing instructions to an AI model so it produces the result you want — using context, examples, and structure to make its responses more accurate, relevant, and reliable.
- Do I need to be technical to learn prompt engineering?
- No — most prompt engineering is about clear thinking and communication rather than coding, so these courses suit everyday users of AI tools, though a few go deeper for developers.
- Will these help with tools like ChatGPT, Copilot, and Gemini?
- Yes — the principles of good prompting carry across generative AI tools, so the techniques apply whether you use ChatGPT, Microsoft Copilot, Google Gemini, or another assistant.
Key concepts
The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.