Enroll Course: https://www.udemy.com/course/devops-azure-kubernetes-serviceaks-with-jenkins-pipeline/
If you’re venturing into the world of DevOps and looking to automate your Kubernetes deployments, the Coursera course ‘Devops: Azure Kubernetes Service (AKS) with Jenkins Pipeline’ is an excellent resource to consider. This course is tailored for students and professionals eager to integrate Jenkins with AKS to streamline CI/CD pipelines, making deployment processes more efficient and reliable. The curriculum covers a wide array of essential topics, including Jenkins installation, setting up Git and GitHub accounts, creating Docker Hub accounts, and understanding the basics of Jenkins pipelines.
A key strength of this course is its practical approach. Participants will learn how to containerize applications using Docker, push images to Docker Hub, and deploy them to Azure Kubernetes Service. The hands-on modules guide you through building a sample application locally, pushing Docker images manually, and automating the entire process with Jenkins pipelines. You will also learn how to manage AKS clusters, automate deployments with Kubernetes, and create declarative Jenkins pipelines using Jenkinsfiles stored in GitHub repositories.
While the course does not have a formal syllabus section, the practical exercises are comprehensive and designed to give learners real-world experience. By the end of this course, you will be able to develop, test, and deploy containerized applications efficiently in Azure cloud environments, leveraging Jenkins’ automation capabilities.
Overall, this course is highly recommended for developers, DevOps engineers, and cloud enthusiasts seeking to deepen their understanding of CI/CD pipelines, containerization, and Kubernetes automation on Azure. Whether you’re starting fresh or looking to enhance your skills, this course provides a solid foundation and practical insights into modern DevOps practices.
Enroll Course: https://www.udemy.com/course/devops-azure-kubernetes-serviceaks-with-jenkins-pipeline/