Agentic AI Engineering

Agentic AI Engineering is a hands-on professional program designed to take participants beyond conversational AI into the engineering of intelligent systems that can plan, use tools, retrieve information, collaborate with other agents, evaluate their performance, and operate safely in real-world environments.

Across eight intensive sessions, participants build agentic systems using modern technologies such as LangChain, LangGraph, MCP, Agentic RAG, Ollama, Qdrant, FastAPI, Docker, LangSmith/Langfuse, and open-weight models. The program covers the complete agent development lifecycle—from building an agent loop and connecting tools to multi-agent orchestration, evaluation, guardrails, local AI deployment, and production operations.

With a strong emphasis on hands-on development and a real-world capstone project, participants finish the course with a complete working agentic AI system they can demonstrate, evaluate, document, and showcase as part of their professional portfolio.