DevOps with Azure

Master DevOps Practices on Microsoft Azure Cloud Platform

Accelerate Your Career with DevOps on Azure

Our DevOps with Azure Training program is designed to equip you with the skills needed to efficiently implement DevOps practices using Microsoft Azure's comprehensive cloud services. This course covers everything from continuous integration and delivery (CI/CD) to infrastructure automation, giving you hands-on experience with the Azure DevOps suite and enabling you to streamline software development and deployment.

Elevate your cloud skills – DevOps with Azure is your gateway to high-demand tech roles!

Why Choose DevOps with Azure?

Azure is one of the leading cloud platforms trusted by enterprises worldwide for its powerful, integrated tools that support DevOps practices. By learning DevOps on Azure, you gain expertise in leveraging cloud-based automation, orchestration, and monitoring tools. This combination opens up numerous career opportunities, as companies increasingly adopt Azure DevOps for efficient, scalable, and reliable software delivery.

Course Highlights

    In-Depth Azure DevOps Curriculum: Comprehensive training on Azure DevOps services, including Azure Repos, Pipelines, Boards, and Artifacts.
    Hands-On Projects: Get practical experience with real-world projects using Azure DevOps tools.
    Expert Guidance: Learn from industry professionals with extensive experience in Azure and DevOps.
    Career Support: Assistance with resume building, Real World Project, and job placements.

What You Will Learn...

The DevOps with Azure course covers all aspects of DevOps practices and Azure tools, preparing you for real-world implementation.

1. Introduction to DevOps and Azure Cloud

    Understanding DevOps principles and culture
    Overview of Azure cloud services and architecture
    Introduction to Azure DevOps tools and features

2. Version Control with Git and Azure Repos

    Using Git for version control
    Managing source code with Azure Repos
    Best practices for version control in Azure environments

3. Continuous Integration with Azure Pipelines

    Setting up CI/CD pipelines using Azure Pipelines
    Integrating build and testing processes
    Automating code deployment with Azure Pipelines

4. Infrastructure as Code (IaC) with Azure Resource Manager (ARM) and Terraform

    Understanding Infrastructure as Code (IaC) concepts
    Automating Azure infrastructure using ARM templates
    Using Terraform for cross-platform infrastructure automation

5. Configuration Management with Ansible and Azure Automation

    Managing server configurations with Ansible
    Automating tasks using Azure Automation
    Best practices for configuration management in Azure

6. Containerization with Docker and Azure Kubernetes Service (AKS)

    Introduction to Docker and containerization
    Deploying and managing containers with Azure Kubernetes Service (AKS)
    Orchestrating containers using Azure Container Instances (ACI)

7. Monitoring and Logging with Azure Monitor and Log Analytics

    Setting up Azure Monitor for application and infrastructure monitoring
    Using Azure Log Analytics for centralized logging and diagnostics
    Integrating Application Insights for performance monitoring

8. Security and Compliance in DevOps with Azure

    Implementing security best practices using Azure Security Center
    Managing identity and access with Azure Active Directory (AAD)
    Ensuring compliance and governance using Azure Policy and Blueprints

Who Should Enroll?

This course is ideal for:

    Software Developers and System Administrators looking to enhance their cloud and DevOps skills.
    IT Professionals aiming to specialize in Azure cloud services and DevOps practices.
    DevOps Engineers seeking expertise in the Azure DevOps suite for automation and deployment.
    Cloud Engineers interested in mastering DevOps on Azure.
    Fresh Graduates aspiring to build a career in cloud computing and DevOps.

Career Opportunities

Backend developers are in high demand, with opportunities across multiple industries. After completing our Python Backend course, you can pursue roles such as:

    Azure DevOps Engineer
    Cloud DevOps Architect
    Site Reliability Engineer (SRE)
    Cloud Infrastructure Engineer
    Autonomous Specialist

Prerequisites

    Any Degree pursuing or passed out
    Computer knowledge is not required
    Laptop or Desktop with internet is necessary