
Explore advanced DevOps concepts with Azure DevOps and Jenkins, mastering continuous integration and delivery, Git workflows, deployment, building, and Docker containerization through a hands-on, project-based path.
Advance through a project-based, in-depth DevOps training with Azure DevOps, covering build and deploy workflows in the cloud and containers, with guidance to start from a beginner course if needed.
Explore how developers, QA, security, infrastructure, and monitoring teams collaborate across the software lifecycle. See how automation enables a unified ci/cd workflow that accelerates previews and production-ready releases.
Automate a single business workflow from code change to deployment using Azure DevOps, building jars, container images, and Kubernetes deployment, with automated preview.
Explore tools for end-to-end ci/cd: source control, pipeline tools, builds and containers, testing, security, deployment with kubectl or helm, and cloud infrastructure using terraform in Azure DevOps.
Learn to manage source code with GitHub by creating private repositories, inviting collaborators, and using local and remote workflows with git init, add, and commit.
Set up ssh based authentication with GitHub by generating an RSA key pair, uploading the public key, and pushing local commits to the remote main branch via origin.
Learn how to grant access by adding collaborators, set up SSH authentication, and sync code with git clone, commit, push, and pull across multiple projects.
Learn how Git branches separate work, enabling feature development with independent commits, and how pull requests review and merge changes into the main branch.
Learn to create and switch to a feature branch from main, commit changes, push to the remote, and request a pull request to merge into main for review.
Learn to create pull requests on GitHub, initiate early reviews, and merge feature branches into main through comments, reviews, and UI interactions.
Learn how to implement continuous integration by automating developer branch workflows, pull requests, and automated testing—from unit tests to Docker image builds and security scans—using Azure pipeline and GitHub.
Understand how git conflicts arise when merging feature branches into main, and compare rebasing with merging to preserve commit order and timestamps.
Explore git branching strategies—from direct main to feature and release branches—emphasizing pull requests, automated testing, and continuous integration and delivery with Azure Pipelines.
Set up a continuous integration pipeline with Azure DevOps to build, containerize, and deploy code from feature branch on pull request, with Docker image and PR feedback.
Set up your Azure DevOps account by subscribing, signing in, and creating an organization and a private project. Learn to build pipelines with YAML workflows.
Learn to set up Azure DevOps pipelines, integrate GitHub, and trigger builds on pull requests with a yaml pipeline that runs npm install and npm run build.
Explore how Azure DevOps triggers CI/CD pipelines on pull requests, builds on Microsoft hosted Ubuntu VMs, containers with Docker, and updates GitHub checks.
Establish Docker Hub and Kubernetes service connections in Azure DevOps to securely publish images and deploy to external clusters like GKE via CI/CD pipelines.
Deploy applications to GKE from Azure DevOps pipelines by building and pushing Docker images, creating service connections, and applying kubectl manifests to expose a load-balanced service.
Set up a repository with two GitHub accounts and an EC2 instance, CI/CD: branches and pull requests, Jenkins builds with Maven or NPM, dockerize, publish images, test containers.
Learn to automate continuous integration with Jenkins by building pipelines that integrate with Maven, NPM, Docker and Kubernetes, install and configure Jenkins on AWS, and create your first job.
Explore building and deploying pipelines with Jenkins, automating code checkout from GitHub, Maven builds for Java, and Docker image creation. Learn troubleshooting, monitoring, and container deployment in CI/CD workflows.
Learn to configure Jenkins to build projects, manage Docker images and containers, push tagged images to Docker Hub, and implement parameterized builds for flexible tagging.
Learn how Jenkins archives artifacts and fingerprints builds, enabling post-build actions like archiving jars and publishing reports, while using fingerprints to trace and troubleshoot specific jar files across builds.
Learn artifact management with Nexus by organizing jar files, Docker images, and build folders into snapshot and release repositories, with controlled access, blob stores, and Maven deployments for ci/cd.
Day 6 examines artifact management with Nexus, Maven settings for snapshots and releases, and building automated pipelines with Jenkins, Terraform, and Ansible for deployment.
Learn to implement ci/cd pipelines with Jenkins and pipelines as code, automate builds, deployments, and testing from Git and GitHub webhooks, including snapshots, releases, and secure credentials.
In today’s fast-paced software development world, CI/CD (Continuous Integration & Continuous Deployment) is essential for delivering high-quality applications efficiently. Azure DevOps is one of the most powerful platforms for building and automating CI/CD pipelines, helping teams deploy applications seamlessly across cloud and on-premises environments.
This Advanced CI/CD with Azure DevOps course is a project-based, hands-on training designed to give you real-world DevOps skills. You’ll go beyond the basics and learn how to implement multi-stage deployment pipelines, integrate automated security & testing, and deploy modern applications using containers, Kubernetes, and Azure Cloud Services.
Every session in this course includes practical labs and enterprise-grade CI/CD pipeline scenarios. You’ll learn how to automate builds, test code, enforce security policies, manage secrets, deploy infrastructure as code (IaC), and monitor production applications. Unlike other courses that focus just on theory, this course guides you through real-world implementation, ensuring you're ready to apply these skills immediately.
By the end of this course, you’ll be job-ready, capable of designing, implementing, and optimizing CI/CD pipelines in Azure DevOps for any modern cloud or enterprise environment. Whether you’re a DevOps Engineer, Cloud Architect, or Software Developer, this course will help you master end-to-end automation for efficient, secure, and scalable deployments.
Let’s build and automate like a pro!