Python Setup for AI Engineers (venv, API Key, .env) | AI Engineer Course #2

Set up Python for AI development the professional way: install Python, create a virtual environment, get your OpenAI API key, store it safely in a .env file, and run your first test script. Works on Windows, macOS and Linux. In this lesson you'll learn: ✅ Checking your Python version (3.11+) ✅ Why every AI project needs a virtual environment ✅ Creating and activating a venv ✅ Getting an OpenAI API key and setting a spending limit ✅ Keeping your key safe with .env and .gitignore ✅ Your first test script with the OpenAI Responses API ✅ Fixing the 3 most common setup errors ⏱️ Chapters 0:00 Introduction 0:21 What you need 0:49 Check your Python version 1:17 Why a virtual environment? 1:41 Create the course project 2:16 Get your API key 2:40 Store the key in a .env file 3:08 Your first test script 3:37 If something goes wrong 4:03 Recap and next lesson 📚 AI Engineer with Python: a free 12-lesson course ◀ Previous: Lesson 1: How Large Language Models Work ▶ Next: Lesson 3: Python Essentials for AI ▶ Full playlist:    / @techwithxutilhub   📘 Course book (PDF) + all code: [add your link] Tools used: Python 3.11+, OpenAI Responses API, gpt-6-luna. Model names and prices checked against OpenAI's docs in September 2026. 🔔 Subscribe for the next lesson. #Python #OpenAI #AIEngineer