Azure Infrastructure as Code with Bicep

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Azure Infrastructure as Code with Bicep

Coursera · Intermediate ·🚀 Entrepreneurship & Startups ·1mo 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. This course is designed to help you master Azure Infrastructure as Code (IaC) using Bicep. You will learn to deploy and manage Azure resources effectively and efficiently, embracing automation and cloud-native practices. By the end of the course, you'll have hands-on experience with deploying resources using different tools, including the Azure portal, Azure CLI, ARM templates, and Azure Bicep, giving you the skills to streamline infrastructure deployment and enhance productivity. Throughout the course, you'll begin by understanding the different deployment methods available within Azure. You'll then dive deeper into Azure Bicep, starting with basics and progressing to advanced scenarios such as deploying containerized applications, implementing Landing Zones, and integrating with DevOps. The course offers live demos and practical insights into deploying Azure resources using Bicep, ensuring you get an interactive learning experience. You will also explore how to implement Azure Container Apps using Bicep and automate deployments with Azure DevOps and GitHub Actions. This knowledge is crucial for anyone looking to work efficiently with cloud-native technologies and DevOps processes. This course is suitable for cloud professionals, DevOps engineers, and IT architects interested in enhancing their skills with Azure Infrastructure as Code. The course is designed for learners with a basic understanding of cloud concepts and is suitable for intermediate learners seeking to build on their Azure expertise. By the end of the course, you will be able to deploy resources using multiple Azure tools, implement infrastructure as code with Bicep, automate deployment pipelines, and effectively manage Azure resources using best practices.
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