Day 1 — Foundations: From Prompts to Workflows
- Understanding the AI Workflow Landscape: what LLMs can and can’t do, common workflow types, and modern tooling overview (LangFlow, n8n, LangChain)
- Creating your first LLM-powered automation: using n8n and LangFlow to build workflows and connect logic
- Prompt Engineering Essentials: few-shot prompting, roles, output formatting, common mistakes and fixes
- RAG in Practice: building a retrieval-augmented assistant using LlamaIndex or LangChain and a vector database
- Modular AI workflows: breaking down tasks into steps using multi-turn logic and orchestration patterns