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.
1 módulos • 5 lecciones
Master the art of crafting effective AI prompts through hands-on exercises. Learn prompt structure, few-shot learning, chain-of-thought reasoning, and advanced techniques with instant feedback. Build real-world prompts for code generation, content writing, and data analysis.
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.
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.
Learn how AI is transforming healthcare — from clinical documentation and diagnostic support to patient communication and medical research. Practical strategies for doctors, nurses, and healthcare administrators. No coding required.