Leverage OpenAIs API in Your Python Projects: Storing Your API Key & Setting Up Your Environment @realpython
Leverage OpenAIs API in Your Python Projects: Storing Your API Key & Setting Up Your Environment  @realpython
Uploaded April 2026 | Updated September 2026, 2 weeks ago
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This is a preview of the video course, "Leverage OpenAI's API in Your Python Projects". Python’s openai library provides the tools you need to integrate the ChatGPT API into your Python applications. With it, you can send text prompts to the API and receive AI-generated responses. You can also guide the AI’s behavior with developer role messages and handle both simple text generation and more complex code creation tasks.

After watching this video course, you’ll understand how examples like this work under the hood. You’ll learn the fundamentals of using the ChatGPT API from Python and have code examples you can adapt for your own projects.

This is a portion of the complete course, which you can find here: realpython.com/courses/leverage-openais-api-in-your-python-projects

And the original text tutorial is here: realpython.com/chatgpt-api-python

The rest of the course covers:
- Installing OpenAI
- Building a Basic Example
- Introducing Role-Based Messages
- Running Role-Based Messages
- Breaking the Rules: Human vs Machine
- Exercise: Build Role-Based Messages for ChatGPT
- Structuring the Output
- Exercise: Model Structured Output With Pydantic
- Taking Your Next Steps
- Leverage OpenAI's API in Your Python Projects (Quiz)



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Leverage OpenAI's API in Your Python Projects: Storing Your API Key & Setting Up Your Environment

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