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n8n AI Agents Bootcamp: RAG, DevOps, Cloud & SRE Projects
New
23 students

n8n AI Agents Bootcamp: RAG, DevOps, Cloud & SRE Projects

Build AI agents, RAG systems & real DevOps/SRE automation with n8n, AWS, Google Workspace, GitHub & Ansible
New
Created byYogesh Raheja
Last updated 7/2026
English

What you'll learn

  • Set up n8n from scratch — Docker installation, container configuration, and SSL with Caddy — and confidently troubleshoot common setup issues
  • Build, extend, and version workflows using n8n's core building blocks: triggers, nodes, sticky notes, and JSON import/export
  • Securely manage credentials and trigger workflows from AWS services (S3, Lambda, EC2) and Google Workspace (Gmail, Sheets, Drive)
  • Apply core logic and flow control — If, Switch, Loop, Filter, Limit, and Remove Duplicates — to handle real, messy, real-world data
  • Design and build AI agents in n8n, including prompt engineering techniques (Zero-Shot, Few-Shot, Chain-of-Thought, ReAct, Role-Based) and a full RAG-based agent
  • Consume REST APIs with the HTTP Request node, including real integrations like SerpAPI and AI-powered API calls
  • Implement robust error handling and organize workflows at scale using tags and reusable sub-workflows
  • Multiple real production oriented projects (Support Agent, SRE Agent, DevOps Agent, Server Provisioning and much more)

Course content

15 sections • 77 lectures • 7h 44m total length

  • Course Introduction6:02

Requirements

  • A laptop (Windows, Mac, or Linux), a VM (On AWS, Azure or any other platform) - we'll set up Docker and n8n together from scratch
  • Free-tier accounts for AWS, Google Workspace, and GitHub (setup covered in the course)
  • No prior programming experience required - some comfort with technology is enough to get started

Description

“This course contains the use of artificial intelligence.”


About This Course

Automation used to mean choosing between two extremes - simple drag-and-drop tools that hit a wall the moment your logic got complex, or full custom code that took a developer to build and maintain. n8n changes that. It's a visual, node-based automation platform that scales from a two-step Slack notification all the way to a production-grade AI agent that reasons, calls APIs, and takes action — and you can drop into code any time the visual canvas isn't enough.


This course takes you from zero to production, with real, hands-on demos for every concept - no slides-only theory. You'll set up n8n from scratch (Docker, SSL, the works), build increasingly complex workflows, integrate AWS and Google Workspace, master core logic and error handling, and then move into the part most courses skip entirely: building real AI agents and real DevOps/SRE automation.


By the end, you won't just know how n8n works — you'll have shipped four complete, portfolio-ready projects:


  • A RAG-based AI agent with a vector database, answering questions from real, private data

  • An SRE monitoring and alerting pipeline that investigates incidents automatically

  • An infrastructure health-check system integrating GitHub and Ansible

  • A server-provisioning workflow with human-in-the-loop approval and reusable sub-workflows


This isn't a "connect two apps together" course. It's built for people who want to automate real business and infrastructure problems — and understand exactly what's happening under the hood while they do it.


What makes this course different

Most n8n courses stop at marketing automation. This one goes further — into AI agents, Retrieval-Augmented Generation (RAG), AWS integrations, and genuine DevOps/SRE use cases like automated incident response, infrastructure health checks, and human-approved server provisioning. If you work in DevOps, SRE, platform engineering, or you're simply curious how AI agents are actually built in production, this course was designed with you in mind.

Who this course is for:

  • Developers, DevOps engineers, and SREs who want to automate real infrastructure and operational workflows
  • No-code/low-code enthusiasts who want to go beyond basic app-to-app automation
  • Anyone curious about building real AI agents — not just prompting a chatbot, but wiring an LLM to real tools and data
  • Professionals wanting a practical, hands-on introduction to RAG and vector databases
  • Anyone who wants to add "AI automation" and "n8n" as a genuine, demonstrable skill on their resume

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