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Creating AI Applications with Python and GitHub Models

34mIntermediate2025-03-05

Authors

Jonathan Fernandes

Consultant focusing on data science, AI, and big data

Course details

GitHub Models offers a variety of AI-powered models that you can use to build AI features and products. In this course, instructor Jonathan Fernandes shows you how to create an AI application using GitHub Models to solve a specific problem. Learn how to select the best large language model to address the problem and then customize the model to meet your needs. By the end of this course, you’ll be equipped with the skills you need to build, test, validate, and deploy your own AI prototype.

Learning objectives
Subdivide the problem into smaller chunks.
Choose the right large language model for the task.
Develop a working AI prototype.
Demonstrate, test, validate, and deploy your own AI prototype.

Skills covered

Github ModelsVersion ControlGitHubArtificial Intelligence FoundationsPythonSoftware Development ToolsArtificial Intelligence (AI)Programming LanguagesOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Building AI prototypes

1. Using Github Models

02 - What is Github Models
03 - Comparing and selecting a large language model
04 - Accessing Large Language Models using an API
05 - Showcase of the finished product

2. Create the Web Layout

06 - Using GitHub spaces
07 - Challenge - Choose your LLM
08 - Solution - Choose your LLM
09 - Challenge - Create your app
10 - Solution - Create your app
11 - Challenge - Make changes to the code as required
12 - Solution - Make changes to the code as required
13 - Deploy the app to production

Conclusion

14 - Going further with prototyping AI models