RAG
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.
Drupal Pro Developer
Advanced Drupal architecture for developers who already know the basics. Build custom modules the right way, integrate external services, and deploy a modern RAG chatbot into the Drupal admin — with an AI agent accelerating the work and a code review discipline to keep it correct. Course Content Structuring custom modules for Drupal 10/11 — dependency injection, services, event subscribers Reviewing and fixing the mistakes AI agents typically make in Drupal code (cache, routing, permissions) Connecting to external databases and vector stores (Qdrant, ChromaDB) Deploying a RAG chatbot and integrating it into the Drupal editorial system Setting up a CI/CD pipeline (GitHub Actions) to deploy automatically — demo plus a reusable template Requirements: PHP fundamentals or solid experience with AI coding agents, plus basic git and Docker.