If you want to learn:
How to build AI agents with n8n over a structured 3-week learning roadmap?
What's the difference between ChatGPT as a product and GPT as an LLM model?
How to automate workflows and create agentic AI systems step-by-step?
What are APIs, JSON, and API keys, and why do they matter for AI automation?
How to progress from basic workflow automation to multi-agent systems and production-grade AI applications?
What real-world projects and integrations you'll build to amplify your business with artificial intelligence?
Then this lecture is for you!
This lecture provides a comprehensive course overview of a 3-week n8n curriculum designed to transform you into an agentic AI builder. You'll discover the complete learning roadmap structured around three progressive phases: Automate (week 1), Accelerate (week 2), and Amplify (week 3). The session covers fundamental AI concepts including what LLMs are, how large language models function as statistical pattern matchers, and the critical distinction between AI models like GPT and products like ChatGPT. You'll learn essential technical foundations including APIs, HTTP endpoints, JSON data format, and API keys that enable workflow automation and integration with apps and services. The curriculum breakdown reveals core sessions on agentic AI and n8n fundamentals, dedicated integration modules, and hands-on real-world projects including voice agents, RAG implementation, web scraping, multi-agent systems, and MCP integration. You'll understand how n8n workflow automation connects different artificial intelligence systems and services, and preview the step-by-step progression from basic automation to production-grade AI agents. This foundational session establishes the framework for building AI-powered applications that deliver business value, setting you up to create automated workflows, implement prompt engineering, and use n8n to orchestrate complex AI systems throughout the course.