AI Automation: Build LLM Applications and AI Agents with n8n

Standard prompts can only take you so far, but the real power of artificial intelligence lies in connecting models to your everyday business tools. By combining large language models (LLMs) with modern automation platforms, you can build autonomous agents that reason, make decisions, and execute complex tasks on your behalf. This text-based course teaches you how to design, configure, and deploy intelligent AI workflows using n8n and APIs. You will transition from manual processes to automated systems that leverage advanced AI reasoning, retrieval-augmented generation (RAG), and external tool integration. What you'll learn: - Understand the foundational concepts of AI automation, API communication, and how LLMs function within workflows - Configure n8n to connect external applications, manage data flows, and handle secure API credentials - Build autonomous AI agents that utilize function calling to interact with tools like databases, spreadsheets, and communication apps - Implement Retrieval-Augmented Generation (RAG) concepts to give your AI access to custom knowledge bases - Apply prompt engineering techniques and model context protocols to guide AI decision-making in workflows - Integrate various LLM providers, including both cloud APIs and local open-source models, into your automation pipelines You will start with core terminology and the basics of n8n before moving step-by-step through API integrations, vector databases, and agentic workflows. Every module combines clear written explanations with practical configuration steps and structured exercises to build your confidence. This course is designed for beginners, business professionals, and aspiring developers who want to leverage AI automation without needing advanced programming skills. No prior experience with n8n or APIs is required. Start reading today to unlock the potential of autonomous AI workflows and streamline your daily operations.