n8n Masterclass 0 to AI Agent Architect Multi-Agent System

n8n Masterclass 0 to AI Agent Architect Multi-Agent System - Printable Version

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n8n Masterclass 0 to AI Agent Architect Multi-Agent System - Courses2025 - 01-31-2026

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Free Download n8n Masterclass 0 to AI Agent Architect Multi-Agent System
Published 1/2026
Created by Gina Silliman
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 3h 42m ) | Size: 4.4 GB

AI Employee Revolution: n8n Build a fully autonomous AI Employee that handles your lead generation and sales outreach
What you'll learn
✓ Architect and build fully autonomous AI agents from scratch using Python.
✓ Master the OpenAI API, including advanced features like Function Calling and JSON Mode.
✓ Implement LangChain and LangGraph to create complex, multi-step reasoning chains.
✓ Develop Retrieval-Augmented Generation (RAG) systems to give AI agents access to custom data.
✓ Deploy Vector Databases (Pinecone, ChromaDB) to provide agents with long-term memory.
✓ Construct "ReAct" (Reason + Act) agents that can observe, think, and act dynamically.
✓ Build web-crawling agents that can scrape, read, and summarize data from the internet.
✓ Create coding agents capable of writing, debugging, and refactoring software code.
✓ Design Multi-Agent systems where specialized agents collaborate to solve complex tasks
✓ Integrate agents with external tools like Google Search, Wikipedia, and custom APIs
✓ Secure API keys and manage environment variables for safe application development
✓ Containerize AI agents using Docker for consistent deployment across environments
✓ Launch production-ready agents using FastAPI and WebSockets
✓ Apply prompt engineering techniques specifically designed for agentic behavior
✓ Monetize AI agent skills by identifying business processes ripe for automation
Requirements
● 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

Homepage

Code:
https://www.udemy.com/course/n8n-masterclass-0-to-ai-agent-architect-multi-agent-system/

RE: n8n Masterclass 0 to AI Agent Architect Multi-Agent System - yokitari - 03-02-2026

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RE: n8n Masterclass 0 to AI Agent Architect Multi-Agent System - yokitari - 03-23-2026

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