Description
n8n Masterclass: 0 to AI Agent Architect Multi-Agent System is a course on how to design, build, and orchestrate intelligent automation workflows and multi-agent systems published by Udemy Online Academy. This is a comprehensive, project-based course that teaches you how to design, build, and orchestrate intelligent automation workflows and multi-agent systems using the powerful open-source automation tool n8n with AI capabilities. You’ll start with the basics of n8n, learn how to create, connect, and automate tasks in applications and services without code, and then progress to architecting advanced AI-powered agents that can communicate, make decisions, and coordinate to solve complex problems. The course covers best practices for workflow design, API integration, AI model orchestration, context sharing between agents, fault management, and monitoring automation at scale.
This course provides a complete and comprehensive path that starts from the very basics. We start with the core fundamentals of n8n: understanding nodes, triggers, data management, and setting up your environment (including self-hosting for complete control). Even if you have no prior programming experience, you will quickly gain confidence. We then quickly move into AI automation, integrating powerful large language models (LLMs) such as OpenAI, Claude, DeepSeek, and Gemini using the n8n AI agent node.
What you will learn in n8n Masterclass: 0 to AI Agent Architect Multi-Agent System:
- Master the OpenAI API, including advanced features like function calls and JSON state.
- Implement LangChain and LangGraph to create complex, multi-stage reasoning chains.
- Develop Retrieval-Augmented Generation (RAG) systems for AI agents to access custom data.
- Deploy vector databases (Pinecone, ChromaDB) to provide long-term memory to agents.
- And…
Course specifications
Publisher: Udemy
Instructors: Gina Silliman
Language: English
Level: Introductory to Advanced
Number of Lessons: 9
Duration: 3 hours and 42 minutes
Course topics
n8n Masterclass: 0 to AI Agent Architect Multi-Agent System Prerequisites
Basic Python Knowledge: You should be comfortable with variables, loops, and functions.
A Computer with Internet Access: To run code and access AI APIs.
OpenAI API Key: A paid API account is recommended for extensive testing (we provide a guide)
Willingness to Learn: This is a fast-paced course that covers advanced topics
VS Code or PyCharm: A code editor to write your Python scripts
Pictures
n8n Masterclass: 0 to AI Agent Architect Multi-Agent System introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
4.4 GB
