1 hour ago
Business
[100% OFF] OpenAI API Course: Python, Models, Errors & Spend Control
Master the OpenAI API in 6 hours: set up keys, pick models, send requests, handle errors, and control spend with Python.
Course Description
This course contains the use of artificial intelligence.
Most people use AI through a chat window. This course shows you how to put the same power inside your own code, safely, reliably, and without surprise bills.
Who this course is for
Beginners and developers who want to use the OpenAI API in real projects
Freelancers and agency owners who want to build AI features for clients
Product managers and founders who need to understand what the API can do and cost
Automation builders who want to move past no-code limits
Students building a portfolio project with AI
What you will learn
What the OpenAI API is and how it differs from ChatGPT
How to create an account, set budget limits, and protect your API key
How to make your first authenticated API call in Python
How to compare models using your own test prompts, not guesswork
How to choose the cheapest model that meets your quality bar
How to write instructions and inputs that produce consistent output
How to control response length and cost with token limits
How to read responses, usage data, and response IDs
How to handle 401, 400, 429, and 5xx errors with retries and backoff
How to track spend per request and set a daily cost cap
Requirements
Basic Python is helpful, but all code is provided and explained
A computer with Python installed
An OpenAI platform account (API usage is billed separately; a small budget is enough for the course)
Final project
You will build the Smart Reply Assistant, a command-line tool that classifies a customer message, drafts a reply in structured JSON, logs tokens and cost for every request, retries safely on errors, and stops when a daily spending cap is reached. You also get a rubric to grade your own work.
