Basic
Python for AI Guide
Designed for those who already know the fundamentals of Python, this guide is the bridge between the language and practical applications with modern AI.
Released in 9 de enero de 2026
Lessons
2
Modules
2
Type
Premium
This guide teaches you how to use Python specifically for working with artificial intelligence. It's not just about learning syntax: here you'll learn how to manipulate data, structure information with JSON, make API requests, and use key libraries like NumPy. By the end, you'll be able to interact with AI models, process inputs and outputs efficiently, and understand how real data integrates with intelligent models.
What you'll learn
How to use Python data structures (lists, dictionaries, tuples) to manage input and output for AI models
How to read, validate, and transform JSON to communicate with AI APIs
How to make HTTP requests to LLMs using the requests library
How to work with vectors and embeddings using NumPy
How to use helpful modules like uuid, datetime, and typing to build structured AI projects
How to apply best practices for modularity, error handling, and maintainability in Python code
How to build a working micro-client that sends a prompt to an AI model, processes the response, and displays the result
Who this course is for
Developers who already understand Python basics (variables, functions, control flow)
Frontend or fullstack engineers who want to integrate AI features into real-world applications
People following Nieva’s AI Engineering path focused on implementation rather than model training
Prerequisites
Basic knowledge of Python: loops, functions, and common data types
Python 3.8+ installed on your machine
Code editor (we recommend VS Code)
Course content
Explore all the modules and capsules included in this course
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