Adding AI to your Python Project with the ChatGPT API
Did you know that you can add the power of AI to your own Python application by utilising the ChatGPT API? This course is designed for Python programmers who want to learn how to add AI features like sentiment analysis and natural language processing to their applications to make them smarter and more interactive. We’ll start with the basics, such as setting up and making simple API requests, and then gradually explore more advanced topics like analysing usernames for inappropriate content, doing sentiment analysis on comments and analysing a log file for suspicious activity. Continuing on we will complete more advanced tasks like specifying how the responses will be formatted using structured data and getting our own information into the model through the use of functions. By the end of the course, participants will have a solid understanding of how to leverage the OpenAI models to create smarter and more interactive Python applications.
- Duration
- 2 days
- Format
- Instructor-led, in person or live online
- Next date
- Wed 24 Feb 2027
What the course covers
Who should attend
This course assumes familiarity with the Python programming language. No experience with AI is assumed. Access to the OpenAI API is a requirement for this course.
Introduction
- Introduction to AI Concepts
- Understanding the limitations of AI
- Python development environment
- Understanding a RESTful Web Service
- Making a call
- Understanding the response
- JSON and JSON processing functions in Python
Getting Started
- Registering for OpenAI API
- Getting API key
- API Playground
- Hello World API Call in playground
Choosing a model
- What models are available
- Monitoring Usage
- Specifying max_tokens
- Checking availability
OpenAI Requests In Python
- Install OpenAI package
- Making a call
- Parts of a call - model, temperature, max_tokens, top_p, frequency_penalty, presence_penalty
- API Response
- Parsing a response
Some Practical Examples
- Vetting usernames
- Sentiment analysis of comments
- Scanning a server log file for suspicious activity
Structured Outputs
- JSON mode
- Adding a response_format
- Converting response to a Python dictionary
API Functions
- Providing your information to the API using functions
- Providing a function description
- Understanding the "function" response
- Calling the function
- Getting a response
- Simple example
More on API Functions
- Providing more than one function
- Describing multiple functions to assist API in choosing which one to call
- More complex example
Course dates
| Date | Location | Booking |
|---|---|---|
| Online | Book Adding AI to your Python Project with the ChatGPT API, Thu 5 Nov 2026, Online | |
| Online | Book Adding AI to your Python Project with the ChatGPT API, Wed 24 Feb 2027, Online |