COURSE PREVIEWAbout this course
Course Description
Are you ready to master Azure DevOps and build real-world CI/CD pipelines from scratch?
This comprehensive, hands-on course is designed to help you become proficient in Azure DevOps through a combination of theory, guided labs, and real deployment scenarios. Whether you're a developer, DevOps engineer, or IT professional, this course will equip you with the skills needed to build, manage, and secure modern DevOps workflows using both Classic Pipelines and YAML Pipelines.
What You’ll Learn:
Set up and configure your Azure DevOps Organization and Projects
Use Azure Repos to manage your code repositories
Create and manage Classic Pipelines and Releases for various deployment targets
Build modern YAML-based multi-stage pipelines for CI/CD workflows
Deploy .NET Core apps to Azure App Services, Container Apps, and Azure Kubernetes Service (AKS)
Use Helm charts and Kubernetes Environments in pipelines
Implement Self-Hosted Agents on Windows, Docker, and Kubernetes with KEDA auto-scaling
Master Azure DevOps security: permissions, access control, branch policies, and more
Work on hands-on labs for each topic with guided exercises and real infrastructure
Hands-On Projects Include:
CI/CD for a .NET Core Web App to Azure App Services
Kubernetes deployment using YAML & Helm
Self-hosted agent on Kubernetes with auto-scaling
Full CI/CD pipeline using YAML to deploy to AKS
Secure DevOps setup using role-based access and branch policies
Who Is This Course For?
Beginners looking to get started with Azure DevOps
Intermediate users aiming to deepen their DevOps skills
DevOps engineers wanting hands-on experience with modern CI/CD tools
Anyone preparing for DevOps roles in real-world projects
By the end of this course, you’ll have the confidence and experience to design and deploy secure, scalable, and automated CI/CD pipelines in Azure DevOps—just like it's done in real enterprise environments.
What you'll learn
- Understand the core concepts of Azure DevOps and how it fits into modern DevOps practices and CI/CD workflows.
- Build CI/CD pipelines using both Classic and YAML approaches in Azure DevOps to automate application delivery workflows.
- Deploy .NET Core applications to Azure App Services, Container Apps, AKS, and VMs using various pipeline strategies including Kubernetes manifests and Helm Char
- Create and manage self-hosted agents on Windows, Docker, and Kubernetes, and configure them to scale with KEDA for optimized performance.
- Use advanced YAML features like templates, runtime conditions, caching, artifacts, and container jobs to create efficient and reusable pipeline logic.
- Understand the full DevOps lifecycle with hands-on projects, from code integration and build to staging, approvals, and production deployments.
- Secure Azure DevOps resources by managing permissions and roles across pipelines, environments, repos, and more using best practices and security groups.
Before you begin
- Basic understanding of software development and application deployment concepts.
- Familiarity with Git and version control systems (e.g., cloning a repo, committing changes).
- Fundamental knowledge of CI/CD concepts is helpful but not mandatory.
- Azure account (free tier is sufficient) to follow along with deployments and hands-on labs.
- Optional: Some experience with Docker, Kubernetes, or .NET Core is a plus but not required—everything needed will be explained during the course.
Who this is for
- Aspiring DevOps Engineers who want to gain practical experience with Azure DevOps and CI/CD pipelines.
- Software Developers looking to automate the build, test, and deployment process using Microsoft’s DevOps platform
- System Administrators and IT Professionals who want to transition into DevOps roles and learn modern infrastructure delivery practices.
- Cloud Engineers and SREs who want to integrate Azure DevOps into cloud-native workflows, including AKS and self-hosted agents.
- Students or Recent Graduates pursuing careers in DevOps or cloud engineering and looking for hands-on project-based learning.
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