A training course for developers on generative and agentic AI — from LLM fundamentals and prompting to building intelligent services with LangChain, llama-index, and MCP.
Live site: worldline.github.io/learning-ai
Key concepts and terminology — History — Market overview — Use cases in software development
Prompting techniques — Ideation, architecture, refactoring and test generation with LLMs
LibreChat, LM Studio — Presets, RAG, plugins, offline model configuration
GitHub Copilot — Spec Driven Development (Bolt, V0, GitHub Spark)
Claude Code, GitHub Copilot CLI, Gemini CLI — AGENTS.md standard — Skills — MCP client
LLM REST API — LangChain (prompt templates, chaining, tool calling) — llama-index RAG — Embeddings — 7 Colab exercises (01–07)
LangChain agents — Multi-agent orchestration — MCP servers with FastMCP — 3 Colab exercises (08–10)
N8N — Visual agentic orchestration — No-code AI workflows
Vertex AI — Google Colab — Cloud AI APIs (Text-to-Speech, Translation, etc.)
We design payments technology that powers the growth of millions of businesses around the world. Engineering the next frontiers in payments technology
- European leader in payment and secured transactions. Over 50bn transactions/year
- 7000+ engineers in over 40 countries
Ibrahim Gharbi · Sylvain Pollet Villard · Yassine Benabbas · Raphaël Semeteys
Yacine Kessaci · Liyun He Guelton · Fanilo Andrianasolo · Vijayanand Premnath · Vincent Caquelard · Mat Goodger · Effan Mutembo · Cyril Cauchois · Martin Boulanger · Julien Carme
cd docs
npm install
npm run dev # http://localhost:3000
npm run build # static output → docs/src/.vuepress/distDeployed automatically to GitHub Pages on push to main via .github/workflows/vuepress-deploy.yml.