
Explore how cloud computing and Azure DevOps enable on-demand, scalable hosting with Microsoft Azure, covering planning, development, testing, deployment, and monitoring across boards, repos, pipelines.
Explore Azure as a cloud platform, learn how tenants, subscriptions, and resource groups organize Azure resources in the portal, including free trials and pay-as-you-go models.
Explain how data drives software, define structured, semi-structured, and unstructured data, and show storing unstructured data in Azure with storage accounts, containers, and blob access.
Explore Azure storage accounts, blob storage, and containers, and master hot, cool, and archive access tiers to optimize storage costs and rehydration workflows.
Mastering Azure storage concepts: access keys, SAS tokens, lifecycle management, and storage explorer workflows; learn replication options like LRS, ZRS, GRS, and RA-GRS with region, geography, and availability zones.
Explore Azure infrastructure basics—geography, regions, availability zones, and storage redundancy types (LRS, ZRS, GRS, GZRS)—and learn practical PowerShell commands for file management across Windows, Linux, and Mac.
Explore PowerShell fundamentals for Azure DevOps workflows, including variables, operators, comparisons, and conditional logic with if-else and loops to automate tasks and patterns.
Master PowerShell loops to iterate over arrays and Azure resources, using for, for each, and for each object, with the Azure PowerShell module to manage resource groups and storage accounts.
Master Azure DevOps basics show how to automate Azure resources with PowerShell, creating resource groups and storage accounts, and building storage containers using storage context and for each loops.
Learn how to represent IP addresses using dot-decimal notation and CIDR blocks, compute 32-bit networks, understand subnetting and private versus public IP ranges, with hands-on PowerShell examples.
Explore ip addresses, cidr blocks, and private versus public ip concepts, and how azure vnet and subnets allocate ranges and reserve addresses for vm access.
Learn to create and connect to Linux and Windows virtual machines in Azure, including virtual networks and subnets. Use ssh keys and ports to manage Linux vms via cli.
Connect to a Linux virtual machine using password or ssh keys, include private keys, and learn how network interface cards and network security groups control access by port and protocol.
Secure a storage account by using network rules, whitelisting IPs, or via a virtual network and subnet. Compare access keys and SAS tokens, and test access with PowerShell.
Learn to deploy dotnet apps by restoring dependencies, building, and publishing, then deploying to Azure App Service for a shareable URL, while comparing IaaS, PaaS, and SaaS.
Learn scaling of Azure app services: vertical scale up/down and horizontal scale out/in at the app service plan, with manual, rule-based auto-scaling, and automatic scaling using CPU-based rules.
Explore how infrastructure as code enables automated, consistent Azure deployments by using declarative templates like ARM and JSON, replacing manual provisioning.
Master ARM templates to deploy Azure resources via infrastructure as code, using parameters and parameter files to reuse templates with dynamic storage names and locations.
Define and pass parameters in ARM templates to parameterize deployments and reuse with parameter files. Use variables to simplify expressions, add outputs, and compare incremental versus complete deployment with what-if.
Explore Azure ARM templates fundamentals by examining variables, outputs, and dependencies; understand hierarchical resource types, nested versus outside of the parent resources, and copy loops for multiple storage accounts.
Explore Azure DevOps concepts by creating repos, branches, and commits, then merge with pull requests. Learn to enforce branch policies and link work items to guard main and track changes.
Master Azure DevOps workflows by mastering git basics: clone, add, commit, push, pull, status, log, and branches, then implement branch policies, resolve merge conflicts, and automate with pipelines and agents.
Leverage Azure DevOps pipelines to automate dotnet builds and deployments to App Service, covering branching strategy, pipeline structure, dotnet restore/build/publish, artifact publishing, and release deployments with service connections.
Learn to configure continuous integration and continuous deployment with build and release pipelines, manage artifacts, deploy to app service, and automate infrastructure with ARM templates.
Explore ci/cd pipelines in Azure DevOps and ARM templates for infrastructure. Learn to build reusable parameterized templates, manage environments dev, QA, stage, prod, and deploy code to app service.
Learn to build parameterized ARM templates with naming conventions, and run a multi-environment CI/CD pipeline that reuses one artifact from dev to prod with approvals.
Master variable management in azure devops by using pipeline variables, variable groups, and scope to stage or release, enabling stage-specific and prod deployments across dev and qa, including yaml pipelines.
Explore YAML pipelines and pipeline as code in Azure DevOps, with variable priority, stages, jobs, tasks, artifact handling, and end-to-end CI/CD deployment to Azure.
Explore terraform as infrastructure as code for Azure, with main.tf, provider blocks, and plan, apply, destroy workflows. Compare declarative Terraform with ARM templates and learn init and auto approve.
Learn how Terraform's state file acts as the source of truth, updating during init, plan, and apply, and guiding resource creation, updates, and dependencies.
See how the Terraform state file serves as the source of truth and updates during apply. Learn to manage dependencies, import existing resources, and reuse configurations with variables.
Learn how to reuse Terraform configurations with variables and locals, pass values via var, tfvars, and -var-file, and manage remote state with Azure storage backend.
Learn to use Terraform with a remote backend on Azure for centralized state file, authenticate with a service principal, and deploy resource groups, App Service plans, and apps via pipelines.
Learn to provision Azure infrastructure with Terraform and manage multi-environment pipelines in Azure DevOps, using a service principal, RBAC, remote backends, and Terraform init, plan, and apply.
Master Terraform loops for multi-environment deployments using remote backends and per-environment state files. Explore count and for_each loops and automate init, plan, and apply in Azure pipelines.
Explore Terraform loops by comparing count and for_each, learn how to dynamically create resources with count.index and for_each over maps, and manage resource naming, locations, and state changes.
Master for-each and for loops to transform arrays and objects, iterating key-value pairs and mapping values, then leverage modules to reuse infrastructure with root and child modules.
Explore how containerization with Docker replaces virtual machines for efficient, scalable deployments, and learn to run nginx containers with images, port mappings, and Docker commands.
Discover how Docker containerization enables lightweight, scalable deployment across hardware. Master essential commands for starting, stopping, port mapping, viewing logs, and managing images and containers.
Master docker basics by creating and managing containers and images, naming containers, viewing logs, and using docker exec, while building custom images with a Dockerfile and port mapping.
Build, run, and deploy custom nginx containers with Dockerfile workflows. Create images from Ubuntu, run containers, modify index.html, and push to Docker Hub with proper tagging and versions.
Compare CMD and ENTRYPOINT as runtime instructions in Docker, and learn how arguments override or append to commands, shaping container lifecycle and execution.
Examine docker drawbacks such as hard-to-maintain state and missing built-in load balancing, and introduce kubernetes with minikube and kubectl, including deploying a nginx pod and port forwarding.
Master practical Kubernetes fundamentals with Minikube and kubectl, creating pods via imperative and declarative YAML. Learn to use Nginx containers with port forward, describe, exec, and delete operations.
Define a replica set with a manifest to maintain a desired number of pod replicas using replicas, selector, and a pod template, and scale by matching pod labels.
Learn how replica sets select pods via labels and selectors, and how deployments overcome these drawbacks with controlled updates in Kubernetes.
Compare replica sets with deployments, showing how deployments auto-detect image changes, preserve revision history, and enable rollbacks, while managing replica sets to maintain the desired number of pods.
Explore Kubernetes deployment strategies, including rolling update and recreate, and learn blue-green and canary approaches to safely update pods, manage image changes, and traffic routing.
Explore Kubernetes deployment strategies—rolling update, recreate, blue-green, and canary—covering traffic switching, port forwarding, and the role of services for load balancing.
Compare monolithic and microservice architectures and outline a three-tier pattern with UI, backend API, and database, plus deploying an employee portal via ci/cd, infrastructure as code, and sql server.
In today’s fast-paced digital world, organizations are under constant pressure to deliver software faster, more reliably, and with higher quality. This is where DevOps practices and tools like Azure DevOps come into play. Azure DevOps is one of the most powerful and versatile platforms that supports the entire software development lifecycle — from planning and coding to building, testing, releasing, and monitoring applications.
This course, Mastering Azure DevOps, is designed to take you on a complete journey — from the fundamentals of DevOps to advanced, real-world applications of Azure DevOps Services. Whether you are a student, a fresh graduate, a developer, or an IT professional, this course will equip you with the practical skills to confidently work with Azure DevOps in real-world scenarios.
Why Learn Azure DevOps?
DevOps has become the industry standard for modern software development. Companies are shifting to Agile and DevOps practices to shorten release cycles, reduce manual errors, and improve collaboration between teams. Azure DevOps, built and maintained by Microsoft, is widely adopted across startups, mid-sized companies, and Fortune 500 enterprises.
By learning Azure DevOps, you will not only strengthen your technical expertise but also make yourself highly employable, as demand for DevOps engineers, cloud professionals, and automation specialists continues to rise.
What This Course Covers:
This course is carefully structured to give you step-by-step knowledge of all major components of Azure DevOps:
Azure Boards: Learn how to manage Agile projects, track user stories, bugs, tasks, and sprints using backlogs and Kanban boards.
Azure Repos: Master Git-based version control with branching, merging, pull requests, and code reviews.
Azure Pipelines: Build powerful CI/CD pipelines to automate the building, testing, and deployment of applications. You will learn both Classic Pipelines and YAML Pipelines for real-world flexibility.
Azure Test Plans: Execute manual and automated tests to ensure product quality, link bugs to test results, and run exploratory testing sessions.
We also cover integrations with GitHub, Docker, Jenkins, Terraform, and Kubernetes, giving you a well-rounded understanding of how Azure DevOps fits into the broader DevOps ecosystem.
Real-World Hands-On Projects:
To ensure you not only learn but also apply your knowledge, this course includes practical projects and demonstrations such as:
Creating and managing a complete Agile project in Azure Boards.
Building a Git-based repository in Azure Repos and collaborating with teammates.
Deploying a web application using CI/CD pipelines into Azure App Service, Docker, and Kubernetes (AKS).
Setting up package management with Azure Artifacts.
Designing test plans and running test cases to validate releases.
These real-world exercises prepare you to face on-the-job challenges and give you confidence in applying DevOps practices effectively.