Learn the most practical prompt engineering techniques in just 30 minutes. Master the 4-part prompt formula, specificity, iteration, and 5 power techniques that work across all AI tools.
Prompt engineering is the skill that separates people who get useful answers from AI from those who get frustrating ones. This free micro course teaches you the fundamentals in about 30 minutes, covering a repeatable 4-part prompt formula, why specificity matters more than length, and how to iterate on a prompt rather than throwing it away and starting over. Whether you use ChatGPT, Claude, Gemini, or any other AI tool, these techniques work across the board.
The course walks you through five power techniques that experienced prompt engineers rely on every day, then brings it all together in a hands-on prompt workflow you can apply right away. It is designed for students, professionals, and self-learners who want practical results fast, without wading through theory. No coding background is required, and no special software is needed beyond an AI chat tool you likely already have.
Finishing the lessons and passing the final exam earns you a free certificate of completion you can share on LinkedIn or add to your resume. If you want to get more out of AI in your studies, your job, or your daily work, this is the fastest path to building that foundation.
1 modules • 5 lessons
Finish every lesson and pass the final exam to earn this free, shareable certificate.
Verify

June 15, 2026
This certifies that
has successfully completed the course
Sample preview. Your name appears on the certificate when you complete the course. Learn more
The course focuses on practical techniques you can use right away: a 4-part prompt formula, how specificity shapes AI responses, an iteration method so you refine rather than restart, five power techniques, and a prompt workflow to tie it all together. Everything is grounded in real usage rather than abstract theory.
Yes, the course is completely free. Completing all the lessons and passing the final exam also earns you a free certificate of completion at no cost.
No technical or coding background is needed. The only requirement is access to an AI chat tool such as ChatGPT, Claude, or Gemini, all of which have free tiers. If you can type a message, you can follow along.
The techniques taught in this course are tool-agnostic and work across major AI assistants including ChatGPT, Claude, Gemini, Copilot, and others. The focus is on the principles behind effective prompts, so the skills transfer as new tools emerge.
After completing the lessons and passing the final exam, you receive a certificate of completion that you can add to your LinkedIn profile or resume. The course takes around 30 minutes, so you can earn the certificate in a single sitting.

Domine a arte de criar prompts eficazes para IA com exercícios práticos. Aprenda estrutura de prompts, few-shot learning, raciocínio em cadeia de pensamento e técnicas avançadas com feedback instantâneo.

Move beyond writing prompts to engineering them. Build evals and rubrics to measure prompt quality objectively, use AI to write and refine your prompts, get reliable structured outputs, and run optimization loops that cut variance, cost, and latency.

Getting vague, generic, or off-target answers from ChatGPT? This 25-minute course shows you why prompts fail and how to fix them, using the RICE framework, specificity techniques, and chain-of-thought to turn weak prompts into reliable ones.

Learn how to use ChatGPT, Claude, Gemini, and DeepL to transform your work as a translator or interpreter. Build glossaries faster, run QA on long documents, post-edit machine translation safely, prepare interpreter briefings in 30 minutes, and master prompt engineering for translation excellence. Built for working linguists and language students. Earn a free certificate to add to your LinkedIn and resume.

Build a working AI agent from scratch in Python. Learn the think-act-observe loop, call an LLM, give your agent a tool it can use, and handle a failed tool call. Framework-agnostic and beginner-friendly.

A practical, no-code course on how aerospace and mechanical engineers actually use AI in 2026. Learn AI-accelerated CFD/FEA workflows, generative design in Fusion 360, AI-assisted MATLAB/Simulink, digital twins, predictive maintenance, AI for materials selection, and how to use LLMs for requirements engineering and standards research without compromising safety or traceability. Built for engineering students and early-career engineers. Earn a free certificate to add to your LinkedIn and resume.