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

Discover the two deployment models for Anitn - cloud and on-prem - and compare community edition with licensed editions (business and enterprise) to fit your learning, your project, or your organization.

Demonstrates installing n8n through multiple options, from local laptop with docker/podman/rancher desktop to server with docker engine and kubernetes for high availability, scalability, and caddy security.

Install and configure an n8n container using docker, set up a dedicated network and volume, and apply environment variables for host, port, https, and webhook endpoints.

configure ssl with caddy to securely expose an n8n instance via https using a reverse proxy, automatic https, a caddy file, and docker networking.

Explore n8n terminologies: workflows, nodes, trigger and action nodes, core nodes, executions, and input/output logs, and learn how each component builds and troubleshoots automated tasks.

Create your first n8n workflow by connecting a chat trigger to a date and time action, format the input with expressions, and inspect logs and results.

Extend your n8n workflow by enabling a publicly hosted chat, customizing the title, subtitle, fields, and styling, then publish updates.

Explore n8n's inbuilt workflow versioning and restore by viewing history and publishing older versions, with community editions limited to one day and enterprise editions spanning a year.

Add and name sticky notes to subdivide large n8n workflows, assign logical labels like date formatter, customize colors, and leverage notes to clarify workflow logic for templates and versions.

Build a first n8n workflow with a manual trigger and AWS S3, list buckets, extract bucket names with edit fields, and explore bucket, folder, and file operations plus potential notifications.

Demonstrates a scheduled workflow in n8n using an AWS lambda function (Python boto3) to fetch EC2 instances across regions, then split results to isolate US East 1, with credentials.

Integrate Google Workspace with n8n by enabling Google Drive, Gmail, and Google Sheets APIs, configuring OAuth 2.0 credentials and redirect URIs, and connecting user accounts for automated workflows.

Extract email ids from google sheets, download the thinkrook faq sop from google drive, and send it via gmail to recipients with the attachment.

In this demonstration, learn how to handle multiple attachments in a n8n workflow by merging files from Google Sheets and Drive and sending them via Gmail.

Demonstrates a form-based submission workflow that captures user details, populates a Google Sheet, downloads PDFs from Google Drive, and sends emails via Gmail, triggered by form submission.

Explore how to use n8n logic and flow control nodes—filter, remove duplicates, limit, if, switch, and loops—via a hands-on google sheets demo that filters corporate emails.

Demonstrates removing duplicate entries using a remove duplicates node after filtering, highlighting compare fields like email and executing steps to deduplicate corporate emails in current inputs.

Demonstrate implementing an if condition to route data into true and false branches for corporate vs non-corporate emails, attaching different files and sending targeted emails.

Learn to implement a multi-branch workflow using switch to route LND, TA, and consulting requests, automatically attaching PDFs and sending tailored emails.

Demonstrates implementing a workflow with a loop in n8n by mapping the first name instead of email to avoid duplicates, removing duplicates, and obtaining corporate and non-corporate results.

Build generic AI agents with n8n, from a chatbot to an SRE, email, and weather agent, and explore prompt techniques through end-to-end demo.

Explore zero-shot prompting, where you assign a task with no examples and rely on the model's preloaded knowledge for straightforward tasks like summarization and question and answer.

Explore zero-shot prompting in this demo, testing sentiment classification and language translation without examples using ChatGPT or other models; observe prompt-driven responses.

Watch a live demo of role-based prompting, where changing roles—teacher, financial advisor, stand-up comedian, or HR agent—yields different outputs explaining topics like compound interest and AI prompts.

Demonstrates turning a generic chatbot into an SRE agent with a system prompt that restricts output to technical details, including kubernetes pods and a fallback model setup.

Discover how to build an AI email agent in n8n using Gmail tools, memory settings, and prompts to generate HTML emails with proper subject lines and professional formatting.

Demonstrates end-to-end ai agent creation for a weather agent in n8n, integrating a chat trigger, Gemini model, memory, and an openweathermap weather tool.

Demonstrates using an http request node with dynamic flight inputs, converting json to human-readable output, and building a basic llm chain with a system prompt in n8n.

Explore workflow error handling in n8n by creating an error-triggered notification workflow that alerts via Gmail or Slack when any workflow fails, enabling quick troubleshooting across many workflows.

Demonstrates how to build an error handling workflow in n8n, simulate a webhook, create an error workflow with Gmail notifications, and publish updates using expressions.

Organize n8n workflows with tags to label and filter without affecting execution, then create and assign tags like aws, ai, and google app.