Programme Content
The course is structured to move participants from concept to implementation in a step-by-step manner. The first day introduces the foundations of AI agents, including how large language models work, what tokens and context windows are, why hallucinations happen, and how prompting differs from structured agent design. Participants also learn about RAG, or Retrieval-Augmented Generation, and understand when a business use case needs a knowledge base rather than simple prompting. The second day focuses on the building blocks of agentic systems, including MCP, tool integrations, short-term and long-term memory, and no-code agent builders such as n8n. The third day introduces major AI platforms such as Claude, ChatGPT and Gemma, helping participants compare them based on privacy, cost, capability, and suitability for different business needs. The fourth day is a full offline build day where participants use platforms such as n8n, Make.com, RAG tools, and agent builders to create a working prototype. The fifth day focuses on guiding the participants on deployment, production readiness, safety checks, error handling, demo preparation.
