Alfredo Deza – Introduction to GitHub Models

Introduction to GitHub Models
An easy course for getting started and building with GitHub Models
This practical course guides you through the process of effectively integrating and using GitHub Models in your projects. You'll start by learning the fundamentals of AI models and understanding the current challenges in the field. The course then walks you through navigating the GitHub Models Marketplace and applying playground techniques to get hands-on experience. You'll explore key features of responsible AI and learn strategic implementation techniques, including how to manage rate limits and scale beyond the free tier. The course also covers GitHub Codespaces, teaching you how to effectively manage resources in this cloud-based development environment. In the final section, you'll dive into best practices for building applications with GitHub Models. This includes creating a Personal Access Token, setting up your development environment, and creating an HTTP API. You'll also learn strategies for testing and validating your implementations. By the end of this course, you'll have a solid understanding of how to integrate GitHub Models into your projects efficiently and responsibly. Whether you're a developer looking to expand your AI toolkit or a project manager aiming to leverage AI in your applications, this course provides the knowledge and skills you need to get started with GitHub Models.
About your instructor
Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build applications from scratch using GitHub Models.