JSON + REST APIs for AI Guide
đ  13 de enero de 2026
Learn how to consume REST APIs used by language models like OpenAI or Gemini. Master how to structure requests, authenticate, and interpret real JSON responses.
Instructors:
Includes:
Minimum Requirements:
- Basic understanding of JSON and data structures
- Familiarity with VS Code and command line
- Know what an API Key is and how to use it
- Ideally completed the âPython for AIâ guide
In this guide, you will learn how to understand and consume REST APIs focused on AI models. From core concepts like HTTP verbs, headers, and request structures, to interpreting real-world documentation from providers like OpenAI, HuggingFace, or Gemini.This is not a generic web development course, but a practical introduction for those who want to use language models as services. Youâll learn how to structure requests properly, read complex JSON responses, handle common errors, and understand usage limits in modern AI APIs.
What will you learn?
- What a REST API is and how it works in AI?
- Request structure: headers, body, query parameters
- How to read API docs from model providers
- Common HTTP status codes
- How to test endpoints using Postman or Curl
- Authenticating with API keys and managing usage limits
- How to interpret nested JSON responses
- How to detect and fix common request errors
- Best practices to design and send payloads to AI models
Who is this for?
- People who are starting to consume AI APIs
- Users of OpenAI-like platforms who now want backend integration
- Students on the AI Engineering path