This GitHub Copilot for Azure course is designed for developers and cloud engineers who want to build and deploy modern AI-powered applications on Microsoft Azure using GitHub Copilot. The course focuses on combining AI-assisted development with cloud infrastructure to create scalable, production-ready systems.
Students will learn how to use Copilot to explore Azure services and AI templates, making it easier to choose the right architecture for their applications. The course also covers deploying applications to Azure with contextual guidance, allowing developers to streamline cloud deployment workflows.
A major focus of the course is working with Azure Kubernetes Service (AKS), including deploying applications using Helm and managing containerized workloads efficiently. Learners will also explore Azure AI model management, resource exploration, and planning migrations to Azure for existing systems.
In addition, the course introduces advanced topics such as integrating Azure Redis caching into applications, optimizing GenAI API token usage, and improving context handling for AI-driven workloads. These skills are essential for building high-performance, scalable AI systems in the cloud.
By the end of the course, students will be able to confidently use GitHub Copilot with Azure to design, deploy, and optimize cloud-based AI applications while following modern DevOps and cloud engineering practices.
