Move beyond chatbots. Build autonomous agents that work for business. Learn to create production-ready AI agents using JavaScript, TypeScript, Next.js, and the Vercel AI SDK. Perfect for JavaScript developers who want to build AI applications without learning Python.
8 módulos • 8 lecciones
A practical, no-code guide to the new class of AI browsers and computer-use agents that browse and act on your behalf. Learn how they work, compare ChatGPT's browsing agent, Perplexity Comet, and Gemini in Chrome, run real research and automation workflows, steer them safely, and defend against prompt injection and data exposure. Earn a free certificate.
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.
Build custom AI chatbots without writing any code. Learn to plan, create, and publish chatbots using Custom GPTs, Claude Projects, and Gemini Gems. Master conversation design, knowledge bases, and iteration strategies.
Learn OpenClaw, the viral open-source autonomous AI agent. Understand the Gateway architecture, install and configure your own agent, master skills and memory, secure your setup with Docker sandboxing, build multi-agent teams, publish skills to ClawHub, and optimize performance.
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.
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.