Azure Container Apps – From Basics to Advanced Deployment

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Azure Container Apps – From Basics to Advanced Deployment

Coursera · Beginner ·🏗️ Systems Design & Architecture ·1d ago
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to deploy and manage containerized applications using Azure Container Apps, ranging from basic to advanced concepts. By the end, you'll have a solid understanding of containerization and the tools needed to deploy and scale applications efficiently on Azure. The course emphasizes hands-on learning with demos and labs to help you reinforce your understanding. Expect to learn everything from deploying simple container apps to implementing complex configurations like autoscaling with KEDA, utilizing Azure DevOps pipelines, and managing security with Azure Key Vault. You will begin with an introduction to the core concepts, including container apps and their environment, followed by demos on deploying and scaling apps. As the course progresses, you'll dive deeper into advanced topics like creating container apps using YAML and deploying with Azure CLI, Terraform, and Bicep. Special attention is given to secure app deployment, logging, troubleshooting, and managing storage within Azure. You’ll also explore CI/CD integration with GitHub Actions and Azure DevOps. This course is ideal for those looking to master Azure container deployment, whether you're an aspiring developer or IT professional seeking to enhance your skills in containerized application management. The course is hands-on, so you will get plenty of opportunities to apply what you've learned in real-world scenarios. By the end of the course, you will be able to deploy and manage Azure Container Apps, implement event-driven scaling with KEDA, secure applications using Azure Key Vault, and streamline deployments with DevOps pipelines using GitHub and Azure DevOps.
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