Best Practices for Integrating GitHub Models

1h 12mIntermediate2024-10-21

Authors

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Pragmatic AI Labs

Course details

With the launch of GitHub Models, GitHub is enabling more than 100 million developers to become AI engineers and build with industry-leading AI models. This course with instructor Alfredo Deza provides best practices for using this new integration.

Learn solid approaches for working with GitHub's new generative AI service. Alfredo covers key strategies for integrating machine learning models into your projects efficiently. This course is aimed at developers looking to improve their GitHub Models workflow and enhance AI-driven projects, with topics including marketplace navigation, responsible AI implementation, resource management, and application development.

Skills covered

Version ControlGitHubSoftware Development ToolsSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Meet your instructor
02 - About this course

1. Fundamentals of GitHub Models

03 - Introduction
04 - Understanding AI Models and current challenges
05 - Navigating the GitHub models marketplace effectively
06 - Applying playground techniques to GitHub models
07 - Key features of responsible AI
08 - Summary

2. Strategic Implementation of GitHub Models

09 - Introduction
10 - Effective management of rate limits
11 - Scaling beyond the free tier
12 - What is GitHub Codespaces
13 - Management of Codespaces resources
14 - Summary

3. Best Practices When Building an Application with GitHub Models

15 - Introduction
16 - Creating a personal access token
17 - Setting up the development environment
18 - Creating an HTTP API
19 - Strategies for testing and validation
20 - Summary