Mastering OpenAPI & Swagger: From Basics to AI Design

Name: Mastering OpenAPI & Swagger: From Basics to AI Design
Rating: 4.4 (58 reviews)

Learn OpenAPI & Swagger from scratch. Use AI to generate specs 10x faster, master YAML, and document APIs like a pro.

Created byArunprabu nallasamy

Last updated 12/2025

English

What you'll learn

Understand the basics of YAML syntax and structure required for OpenAPI specifications
Learn what the OpenAPI Specification (Swagger) is and how it is used to document REST APIs
Generate and refine OpenAPI specifications using AI tools and simple chat-based agents
Create OpenAPI (Swagger) specification files from scratch using best practices
Use the Swagger Editor tool to create, edit, and validate OpenAPI files
Build interactive and user-friendly API documentation using OpenAPI and Swagger

Course content

8 sections • 32 lectures • 2h 34m total length

Introduction3:21
As udemy doesn't support to add YAML file, i have added as text file.
FINAL.txt - rename to FINAL.yaml and you can upload to swagger editor.
You can open the file in any text editor as well.

What are the Tools & Language Requirements1:00
Swagger Editor6:36
Install VS Code and Open Swagger Files5:13
Learn why Visual Studio Code is a practical choice for OpenAPI development. You’ll install VS Code, add the OpenAPI Editor extension, and open an existing Swagger file to start editing.
INTRO to YAML Language2:35
Creating Simple YAML File7:49
Understanding Default Swagger File (Based on YAML structure)5:59

(Recap) Install VS Code & Open OpenAPI (Swagger) Files5:13
This video is intentionally repeated here for convenience.
Since the AI-based OpenAPI workflows in this section use Visual Studio Code, this lesson quickly revisits how to install VS Code and open OpenAPI (Swagger) files.
If you’ve already watched this in the Tools section, you can skip or fast-forward this video.
If not, this will help you get set up properly before working with AI tools.
Create a Simple OpenAPI (Swagger) File Using AI (Live Demo)6:36
In this video, you’ll see a live demo of generating a basic OpenAPI (Swagger) specification using any chat-based AI agent such as ChatGPT or Gemini.
Learn how to write an effective prompt, produce a valid OpenAPI YAML file, and review AI-generated output for correctness.
This lecture helps you save time while maintaining proper API documentation practices.
Chat Agents vs Coding Agents — Using AI Agent for OpenAPI (Swagger)3:56
This video introduces AI chat agents and coding agents, explains the key differences between them, and shows how they can simplify OpenAPI and Swagger workflows. You’ll learn the benefits of using GitHub Copilot, where it fits in API documentation tasks, and how to install and set up GitHub Copilot in Visual Studio Code.
Edit OpenAPI (Swagger) Files Using GitHub Copilot (Hands-On)4:53
In this hands-on demo, you’ll use GitHub Copilot inside Visual Studio Code to edit an existing OpenAPI (Swagger) specification. Learn how to accept AI suggestions, review changes, fix incorrect output, and ensure the final Swagger file remains valid and accurate for production use.
Add JSON Error Responses Using AI

Requirements

You should have a basic understanding about REST API
Able to understand JSON structures

Description

The OpenAPI Specification (also known as Swagger) is the most widely used standard for defining and documenting RESTful APIs. Swagger provides a collection of open-source tools that work with OpenAPI definition files to create clear, consistent, and user-friendly API documentation.

This course was originally created using OpenAPI Specification (OAS) 3.0, which introduced significant improvements and differences compared to OAS 2.0. The fundamentals of OpenAPI 3.0 remain stable and relevant, making this course fully applicable for learning modern API documentation practices.

This course is designed for beginners and is suitable for:

Project Managers
API Product Managers
Developers
Technical Writers

It assumes basic knowledge of REST APIs and JSON, but no programming or advanced technical skills are required. This is not a coding-heavy course. The focus of this course is on creating clean, structured, and professional API documentation.

In addition to core OpenAPI concepts, the course includes a dedicated advanced section that demonstrates how to generate and edit OpenAPI specifications using AI tools and simple chat-based agents. You will learn how AI can simplify and speed up specification creation while still applying OpenAPI best practices.

Course Flow

What is an API Specification
Introduction to OpenAPI Specification (Swagger)
Tools and Languages Required
YAML Basics for OpenAPI
Step-by-step Design of an OpenAPI Specification
Generating and refining OpenAPI specifications using AI tools and agents
Setting up and working with OpenAPI files in Visual Studio Code

Additional Section

Configuring and displaying OpenAPI specifications in Confluence

This Course Does NOT Cover

Generating client or server code using Swagger Editor
Hosting or deploying Swagger on your own web server

In addition to video lessons, this course includes hands-on assignments that guide you through creating OpenAPI specification files using both manual and AI-assisted workflows, helping you gain practical, real-world experience.

Who this course is for:

API Designers
API Developers
Project Managers
Any one interested to learn about API's
Technical Writers

Mastering OpenAPI & Swagger: From Basics to AI Design

What you'll learn

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Course content

Introduction1 lecture • 3min

OPEN API SPECIFICATION4 lectures • 13min

Tools & Languages6 lectures • 29min

DESIGN Open API Specification (OAS / SWAGGER)11 lectures • 1hr 1min

DESIGNING COMPONENTS3 lectures • 8min

OpenAPI: The AI Generation4 lectures • 21min

SOMEMORE KEYWORDS2 lectures • 8min

ADDITIONAL SECTION1 lecture • 5min

Requirements

Description

Who this course is for: