MCP
GenAI Integrations
Learn how to connect generative AI to real systems: retrieval-augmented generation over your own data, custom MCP servers that give agents safe access to your tools, and autonomous agents orchestrated to do useful work. Course Content Architecture of GenAI integrations: models, embeddings, retrieval, and orchestration Building a RAG pipeline over your own documents (vector database, chunking, retrieval) How the Model Context Protocol (MCP) works and building your own MCP server (FastAPI / Node.js) Configuring, deploying, and testing autonomous agents (OpenClaw and similar orchestrators) Keeping integrations safe and affordable: prompt boundaries, cost control, evaluation Formats & Pricing The same course, in three formats — pick what suits you:
SEO Tools in Practice
Run a real on-page SEO analyzer end to end: crawl a site, turn the results into actionable audits, and let AI agents propose fixes. Based on a production open-source tool built on Crawlee and Playwright, with an MCP server that exposes the whole workflow to AI agents. Open source. The course is built around seo-tools — the code is public on GitHub and you can try the running tool before the course. The public demo covers the basics; on the course you run the tool yourself, including the features the demo does not offer.