English | Size: 521 MB
Genre: eLearning
Build real projects with n8n automation, AI fashion workflows, and APIs to level up your automation skills.
What you’ll learn
Learn the fundamentals of n8n and understand its role in workflow automation.
Gain hands-on experience installing and configuring n8n on AWS EC2 with Docker and Docker Compose.
Explore and navigate the n8n dashboard to effectively work with different nodes and workflows.
Build AI-powered workflows by integrating n8n with Nano Banana and OpenAI nodes.
Build AI-powered workflows by integrating n8n with Nano Banana and OpenAI nodes.
Design, execute, and automate a complete AI Fashion Image Generator project from input to final image delivery.
Are you ready to combine automation and AI to create powerful real-world projects? In this course, you’ll learn how to set up and use n8n, a leading workflow automation tool, and integrate it with Nano Banana, OpenAI, and Falai to build an AI Fashion Image Generator.
We’ll start with the basics of n8n, guide you through installation on AWS using Docker, and then dive into creating automated workflows step by step. You’ll explore how to connect APIs, configure nodes, and design an end-to-end AI-powered system that generates and delivers fashion images automatically.
By the end of this course, you will have the skills to confidently use n8n for automation, integrate AI tools into workflows, and build innovative projects that showcase the power of combining automation with artificial intelligence.
n8n Basics: An Overview
- Getting started with n8n
- Introduction to n8n
- Why Use n8n?
- Various Ways to Install n8n
n8n Installation on AWS – Self-Hosted Guide
- Launch Ubuntu EC2 for n8n
- Installing Docker on Ubuntu
- Step-by-Step: Docker Compose and .env File
- n8n Installation via Docker Compose
- Connect to n8n via Browser
- Steps to Activate n8n License
- n8n Dashboard Walkthrough
- Nodes in n8n Workflows
AI Fashion Image Generator with Nano Banana + n8n workflow
- Nano Banana Project: Workflow Overview
- Trigger: Form Submission
- Upload an image via an HTTP request
- Define HTTP request parameters
- Image Analysis using the OpenAI Node
- Generate API credentials in your OpenAI account
- Set the parameters for the Analyze Image node
- AI Agent: Chat Model + Think Tool
- Configure a prompt in the AI Agent
- Integrate Chat Model + Think Tool in AI Agent
- Queue Image using HTTP Request (Nano Banana API)
- Create an API key on Falai
- Run the workflow and verify image on Falai
- Fetch Image (HTTP Request)
- Insert Wait Node
- If Node: Check if image is ready or processing
- Get Image via HTTP Request
- Send Image via Gmail Node
- Configure Gmail Node parameters
Final check: validate images, nodes, and results
- Final Workflow Execution – 1
- Final Workflow Execution – 2
- Last Lecture
Who this course is for:
- Beginners who want to get started with n8n workflow automation.
- Developers, freelancers, and tech enthusiasts interested in low-code/no-code automation tools.
- Students and professionals looking to integrate AI tools (like Nano Banana, OpenAI, and Falai) with automation workflows.
- Cloud and DevOps learners eager to practice hands-on projects with AWS and Docker.
- Anyone who wants to build real-world AI-powered projects, such as an AI Fashion Image Generator.
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