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 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.
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.
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 principles, architecture, and core components required to build production-ready RAG applications. Learn to create custom knowledge chatbots using Next.js, Supabase with pgvector, and Google's Gemini API. Perfect for JavaScript/Next.js developers who want to integrate advanced AI features.
Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.