AI Engineering & AgentsLangGraph · FastAPI · AWS · Agent · LLM
Nineteen systematic tutorials from zero to production — every chapter ships quizzes and hands-on exercises
Nineteen systematic tutorials from zero to production — every chapter ships quizzes and hands-on exercises
Every course starts from environment setup and progresses through four stages — beginner → intermediate → advanced → production. Total beginners can keep up.
Every chapter includes runnable example code, 4 interactive quiz questions (wrong answers reveal the correct choice plus an explanation), and 3 hands-on exercises.
Content is written strictly against each project's latest official documentation; see the per-course version baseline on the [About page](/en/about/).
Every course ends with real production scenarios — CI integration, containerized deployment, observability, and launch checklists. Learn exactly what you'll use.
Fifteen courses include complete portfolio-ready projects covering RAG, multi-agent collaboration, full-stack services, and cloud deployment.
GitHub API client: full-stack requests/httpx wrapper with auth, rate limiting, caching, and a CLI tool
CI test governance: fixture factories, parametrization matrix, coverage gates, and parallel runs with pytest-xdist
E2E strategy & reporting: Page Object architecture, multi-browser parallelism, trace viewer, and CI integration
Full-chain load testing: distributed HttpUser scripts, live Web UI monitoring, Docker/K8s cluster stress tests
Production deployment: Docker image optimization, Uvicorn multi-worker, health checks, and rolling restarts
Three capstones: data analysis assistant (tools → charts → Workflow) · multi-source research team · customer-service KB agent on AgentOS
Three capstones: content marketing pipeline · data analysis pipeline · competitor intelligence Crew (hierarchical + Flow)
Three capstones: production support agent · full-stack AI app (Workflow + RAG + Memory) · BI data Q&A agent
Three capstones: GitHub auto-triage agent · Slack on-call assistant (Sandboxes isolation + multi-cloud deploy) · code review agent
Three capstones: personal dev fleet · multi-project parallel delivery pipeline · Secondmate remote fleet at scale
Three capstones: test agent end-to-end (requirements → cases → automation) · execution & reporting · CI integration with scheduled regression
Three capstones: semantic search KB Q&A (RAG) · multi-agent support ticketing · full-stack streaming chat (multi-gateway compatible)
Three capstones: RAG knowledge base agent · multi-agent ticketing system · full-stack agent service (end-to-end on AWS ECS/SQS)
Three capstones: evidence-grounded local QA graph · multi-agent ticket routing · fault-tolerant approval & resume pipeline
Three capstones: files + skills + delegation + approval loop · read-only codebase audit assistant · planning/delegation/approval research pipeline