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.
4 módulos • 10 aulas
Go one level under the hood of ChatGPT, Claude, and Gemini. Understand tokens, next-token prediction, context windows, model parameters, Mixture of Experts, and why AI models cost money to run. A short, no-code course for people who use AI every day.
Go beyond generic prompt engineering and master Claude-specific techniques. Learn XML tags, extended thinking, system prompt design, CLAUDE.md files, MCP integration, and agentic workflows to unlock Claude's full potential.
Master the art of chaining AI prompts and building sophisticated workflows. Learn to design multi-step AI pipelines, handle errors gracefully, implement branching logic, manage context, and build production-ready AI workflows for research, content creation, and code generation.
Domina el arte de crear prompts efectivos para IA con ejercicios prácticos. Aprende estructura de prompts, few-shot learning, razonamiento cadena de pensamiento y técnicas avanzadas con retroalimentación instantánea.
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.
Master the calculus that powers machine learning. Learn derivatives, partial derivatives, the chain rule, gradients, gradient descent, loss functions, and backpropagation — the essential math behind how models learn.