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JSON + REST APIs for AI Guide
Basic

JSON + REST APIs for AI Guide

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.

Released in 13 de enero de 2026
Lessons
1
Modules
1
Type
Free

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. You’ll learn how to structure requests properly, read complex JSON responses, handle common errors, and understand usage limits in modern AI APIs.

What you'll 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 this course is 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

Prerequisites

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 β€œPython for AI” guide

Course content

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