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.
12 módulos • 43 lecciones
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.
Master the Model Context Protocol (MCP) - Anthropic's open standard for connecting AI assistants to external tools and data sources. Learn to configure, use, and build MCP servers that extend AI capabilities with real-world integrations.
Learn to leverage Claude AI for effective code review in 30 minutes. Master prompts for finding bugs, security vulnerabilities, and refactoring suggestions with hands-on practice.
Learn to use Claude, Anthropic's powerful AI assistant. Understand what Claude is, set up your account, master effective prompts, use Projects, analyze documents, write code, and choose the right AI tool for every task.
Master prompt engineering 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.
Master machine learning from the ground up. Learn supervised and unsupervised learning, build models with scikit-learn, and understand the intuition behind algorithms like linear regression, decision trees, and neural networks. Hands-on Python exercises with real datasets.