Python for AI Guide
đ  9 de enero de 2026
Designed for those who already know the fundamentals of Python, this guide is the bridge between the language and practical applications with modern AI.
Instructors:
Includes:
Minimum Requirements:
- Basic knowledge of Python: loops, functions, and common data types
- Python 3.8+ installed on your machine
- Code editor (we recommend VS Code)
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 will you 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 is this 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 Nievaâs AI Engineering path focused on implementation rather than model training