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Azure DevOps Online Training
  • 30-40 hours
  • 45 Students
    • Ratings :

Azure DevOps Online Training

Azure DevOps is a software as a service (SaaS) platform that offers DevOps practises and tools for the whole software development life cycle. The platform supports development teams by providing particular tools and services to software programmers, analysts, and testers, as well as IT project or team managers. Azure DevOps interfaces with several additional tools, broadening DevOps toolkits and adjusting them to the specific demands of the development team and organisation. Azure DevOps is compatible with a wide range of existing work management solutions. Azure DevOps is a complete software development platform that provides a variety of services designed to organise and expedite development activities across the application lifecycle.

RAM Training is the Best online Azure DevOps certification training in Hyderabad is curated by Azure DevOps professionals with years of industry experience. Several domain ideas and tools have been built by our teachers for this course. This thorough 2-in-1 course takes a hands-on approach to planning, managing, and monitoring your apps using DevOps and Microsoft Azure. Initially, you'll have a better understanding of DevOps implementation. You'll learn how containerization technologies operate and how to use continuous integration to run tests across your apps. Moving forward, you'll collaborate with DevOps to manage contemporary application lifecycles and automate your programmes on the Azure Cloud platform. By the conclusion of this course, you will be able to release software more quickly and reliably on the cloud.

RAM Training Microsoft Azure DevOps Training Course (AZ-400) Course is designed by industry professionals to meet the needs and demands of the business. This Azure DevOps course provides you with a solid basis for taking the Microsoft Certified: DevOps Engineer Expert exam. The course will teach you how to build and execute collaborative, source code management, security, compliance, continuous integration, delivery, and monitoring techniques. Enrol today to become an Azure DevOps certified professional. Microsoft Azure hosts live batches and webinars. He has personally instructed over 100,000 students and has performed over 200 live online batches. Anyone interested in learning Azure DevOps or obtaining the AZ-400 Certification can register in this online course. A fundamental understanding of Continuous Integration, Continuous Deployment, and Testing is required, as well as prior experience with Fundamentals of powershell.

You should take this Azure DevOps certification course because the demand for DevOps is at an all-time high, with more than 80% of all firms planning to use DevOps in the near future. Furthermore, the average annual compensation of a professional who has mastered DevOps and Azure is roughly US$130,000. People with Azure and DevOps Engineer abilities are in high demand in the industry. The programme will prepare you to become an expert in many on-demand elements of DevOps and Azure. In addition, various case studies and hands-on projects are incorporated in the programme to guarantee that you learn everything you need to know about DevOps and Azure.

  • Module 01 - Introduction to Microsoft Azure
  • 1.1 Introduction to cloud computing
  • 1.2 What is Microsoft Azure?
  • 1.3 Microsoft Azure Services
  • 1.4 Creating a Microsoft Azure Account
  • 1.5 Azure CLI, Azure PowerShell
  • 1.6 Managing Azure Resources & Subscriptions
  • 1.7 Azure Resource Manager
  • 1.8 Microsoft Azure Architecture
  • Module 02 - Introduction to ARM & Azure Storage
  • 2.1 Azure Resources & Subscriptions
  • 2.2 Azure Resource Manager
  • 2.3 Managing Azure Resources
  • 2.4 Azure Tags
  • 2.5 Azure Storage Account & its types
  • 2.6 Azure Blob Storage
  • 2.7 Azure Content Delivery Network (CDN)
  • 2.8 Azure Files Storage
  • 2.9 Azure File SyncModule 03 - Introduction to Azure storage
  • 3.1 Azure Table Storage
  • 3.2 Azure Queue Storage
  • 3.3 Azure Storage Explorer
  • 3.4 Azure Shared Access Signature (SAS)
  • 3.5 Azure Databox
  • 3.6 Azure Storage Replication
  • 3.7 Data Replication Options
  • 3.8 Azure Import/Export Service
  • Module 04 - Azure Virtual Machines
  • 4.1 Azure Virtual Machines
  • 4.2 Data Disks in Azure
  • 4.3 Azure VMs & Interfaces
  • 4.4 ARM templates
  • 4.5 VHD templates
  • 4.6 Custom Images of Azure VM
  • 4.7 Virtual Machine Scale Sets
  • 4.8 Virtual Machine Availability Sets
  • Module 05 - Azure App and Container services
  • 5.1 App Service Web App for Containers
  • 5.2 App Service plan
  • 5.3 Networking for an App Service
  • 5.4 Deployment slots
  • 5.5 Container image
  • 5.6 Azure Kubernetes Service
  • 5.7 Azure Container Registry
  • Module 06 - Azure Networking - I
  • 6.1 Azure Virtual Networks
  • 6.2 Azure Vnet Components
  • 6.3 IP Address – Public & Private IPs
  • 6.4 Azure Vnet Subnets
  • 6.5 Azure Network Interface Cards (NIC)
  • 6.6 Network Security Group (NSG)
  • 6.7 Route Tables
  • 6.8 Service Tags
  • 6.9 Azure DNS
  • 6.10 Private DNS
  • Module 07 - Azure Networking - II
  • 7.1 Application Gateway
  • 7.2 Azure Front Door Service
  • 7.3 Azure Traffic Manager
  • 7.4 Application Security Groups
  • 7.5 Azure Load Balancers
  • 7.6 Azure Firewall
  • 7.7 Azure Bastion
  • 7.8 Network Watcher
  • 7.9 Azure Express Route
  • 7.10 Express Route Circuits
  • 7.11 Express Route Peering
  • Module 08 - Authentication and Authorization in Azure using RBAC
  • 8.1 Identity and Access Management in Azure
  • 8.2 Role-Based Access Management (RBAC)
  • 8.3 Role Definitions
  • 8.4 Role Assignment in Azure Resources
  • 8.5 Azure Users & Groups
  • 8.6 RBAC Policies
  • Module 09 - Microsoft Azure Active Directory
  • 9.1 Azure Active Directory (Azure AD)
  • 9.2 Windows AD Vs Azure AD
  • 9.3 Azure AD Users
  • 9.4 Azure AD Groups
  • 9.5 Azure AD Domains
  • 9.6 Azure AD Tenants
  • 9.7 Authentication Options
  • 9.8 Azure AD Connect
  • 9.9 Self Service password Reset (SSPR)
  • 9.10 Multi-Factor Authentication (MFA)
  • 9.11 Resource Locks
  • Module 10 - Azure Monitoring
  • 10.1 Azure Monitor
  • 10.2 Azure Metrics
  • 10.3 Log Analytics
  • 10.4 Alerts and actions
  • 10.5 Application Insights
  • 10.6 Backup reports
  • 10.7 Recovery Services Vault
  • 10.8 Backing Up Azure Virtual Machines
  • 10.9 VM Backup Policies
  • 10.10 Restoring Azure Virtual machines,
  • Module 11 - Infrastructure Setup
  • 11.1 EC2 Walkthrough
  • 11.2 Installation of DevOps Tools on cloud
    • Git
    • Docker
    • Maven
    • Jenkins
    • Puppet
    • Ansible
    • Kubernetes
    • Nagios
  • Module 12 - Introduction to DevOps
  • 12.1 What is Software Development
  • 12.2 Software Development Life Cycle
  • 12.3 Traditional Models for SDLC
  • 12.4 Why DevOps?
  • 12.5 What is DevOps?
  • 12.6 DevOps Lifecycle
  • 12.7 DevOps Tools
  • Module 13 - Continuous Testing
  • 13.1 What is Continuous Testing?
  • 13.2 What is Maven?
  • 13.3 Running Test Cases on Chromium Web Driver
  • 13.4 What is Headless Mode?
  • Module 14 - Continuous Integration using Jenkins
  • 14.1 Introduction to Continuous Integration
  • 14.2 Jenkins Master-Slave Architecture
  • 14.3 Understanding CI/CD Pipelines
  • 14.4 Creating an end to end automated CI/CD Pipeline
  • Module 15 - Software Version Control
  • 15.1 What is Version Control?
  • 15.2 Types of Version Control System
  • 15.3 Introduction to SVN
  • 15.4 Introduction to Git
  • 15.5 Git Lifecycle
  • 15.6 Common Git Commands
  • 15.7 Working with Branches in Git
  • 15.8 Merging Branches
  • 15.9 Resolving Merge Conflicts
  • 15.10 Git Workflow
  • Module 16 - Continuous Deployment: Containerization with Docker
  • 16.1 Introduction to Docker
  • 16.2 Understanding Docker Lifecycle
  • 16.3 Components of Docker Ecosystem
  • 16.4 Common Docker Operations
  • 16.5 Creating a DockerHub Account
  • 16.6 Committing changes in a Container
  • 16.7 Pushing a Container Image to DockerHub
  • 16.8 Creating Custom Docker Images using Dockerfile
  • Module 17 - Containerization with Docker: Ecosystem and Networking
  • 17.1 What are Docker Volumes
  • 17.2 Deploying a Multi-Tier Application using Docker Network
  • 17.3 Using Docker Compose to deploy containers
  • 17.4 What is Container Orchestration
  • 17.5 Container Orchestration Tools
  • 17.6 Introduction to Docker Swarm
  • 17.7 Deploying a 2-Node Cluster using Docker Swarm
  • Module 18 - Configuration Management using Puppet
  • 18.1 Need of Configuration Management
  • 18.2 Configuration Management Tools
  • 18.3 What is Puppet
  • 18.4 Puppet Architecture
  • 18.5 Setting up Master-Slave using Puppet
  • 18.6 Puppet Manifests
  • 18.7 Puppet Modules
  • 18.8 Applying configuration using Puppet
  • 18.9 Puppet File Server
  • Module 19 - Configuration Management using Ansible
  • 19.1 What is Ansible?
  • 19.2 Ansible vs Puppet
  • 19.3 Ansible Architecture
  • 19.4 Setting up Master-Slave using Ansible
  • 19.5 Ansible Playbook
  • 19.6 Ansible Roles
  • 19.7 Applying configuration using Ansible
  • Module 20 - Continuous Orchestration using Kubernetes
  • 20.1 Introduction to Kubernetes
  • 20.2 Docker Swarm vs Kubernetes
  • 20.3 Kubernetes Architecture
  • 20.4 Deploying Kubernetes using Kubeadms
  • 20.5 Alternate ways of deploying Kubernetes
  • 20.6 YAML Files
  • 20.7 Creating a Deployment in Kubernetes using YAML
  • 20.8 Services in Kubernetes
  • 20.9 Ingress in Kubernetes
  • 20.10 Case Study – Kubernetes Architecture
  • Module 21 - Continuous Monitoring using Nagios
  • 21.1 What is Continuous Monitoring?
  • 21.2 Introduction to Nagios
  • 21.3 Nagios Architecture
  • 21.4 Monitoring Services in Nagios
  • 21.5 What are NRPE Plugins?
  • 21.6 Monitoring System Info using NRPE plugins
  • Module 22 - Terraform Modules & Workspaces
  • 22.1 What is Infrastructure as a code
  • 22.2 IaC vs Configuration Management
  • 22.3 Introduction to Terraform
  • 22.4 Installing Terraform on AWS
  • 22.5 Basic Operations in Terraform
    • init
    • plan
    • apply
    • destroy
  • 22.6 Terraform Code Basics
  • 22.7 Deploying an end-to-end architecture on AWS using Terraform
  • Module 23 - Azure DevOps and Azure Repos
  • 23.1 Azure DevOps architecture
  • 23.2 key features
  • 23.3 azure DevOps tools
  • 23.4 azure DevOps organizations and projects
  • 23.5 Introduction to Azure Repos
  • 23.6 Compare TFVC and Git
  • 23.7 Key concepts in azure repos
  • 23.8 Search your code in Repos
  • 23.9 what is TFVC
  • 23.10 Azure Repos Integrations
  • Module 24 - Azure Artifacts and Azure Test Plans
  • 24.1 What are Azure artifacts
  • 24.2 Key concepts in artifacts
  • 24.3 working with packages
  • 24.4 Feeds
  • 24.5 views and upstream sources
  • 24.6 Connecting to azure pipelines
  • 24.7 What are Azure test plans
  • 24.8 Exploratory and manual testing
  • 24.9 Test from kanban board
  • 24.10 Creating Test Plans
  • 24.11 Testing web apps
  • Module 25 - Azure Pipelines
  • 25.1 What are Azure Pipelines
  • 25.2 Why use Azure Pipelines
  • 25.3 Deploying to Azure
  • 25.4 Key concepts in Pipelines
  • 25.5 CI Triggers in pipelines
  • 25.6 YAML Basics
  • 25.7 Ecosystems and Integration
  • 25.8 Setting up CI build
  • 25.9 Adding Tests to the Pipeline
  • 25.10 Agents and Tasks
  • Module 26 - Azure Boards
  • 26.1 What is Azure Boards
  • 26.2 Why use azure boards
  • 26.3 agile project management best practices
  • 26.4 Basic concepts of Azure Boards
  • 26.5 Connecting boards to Github
  • 26.6 Work items
  • 26.7 Kanban boards
  • 26.8 Sprints
  • 26.9 Scrum and plans
  • 26.10 Azure Boards integrations
  • Module 27 - Terraform with Azure
  • 27.1 What is Infrastructure as a code?
  • 27.2 IaC vs Configuration Management
  • 27.3 Introduction to Terraform
  • 27.4 Installing Terraform on AWS
  • 27.5 Basic Operations in Terraform
    • init
    • plan
    • apply
    • destroy
  • 27.6 Terraform Code Basics
  • 27.7 Deploying an end-to-end architecture on Azure using Terraform

MNCs today are looking for candidates who have experience in Azure DevOps and its applications. We deal with the challenges in the Azure DevOps field and assist the candidates with solutions.

Our Azure DevOps practitioners have years of experience in the field and are available at any moment according to our client’s requirements. With a proven track record of a 100% success rate. We also offer hourly, weekly, and monthly job support in the USA,UK and Canada.

You can connect with your Azure DevOps consultant through distinct desktop sharing mediums including Zoom.Us, Skype, Google Meet, Webex, Microsoft Teams, join.me, Teamviewer, GoToMeeting and Netmeeting.

Our Azure DevOps instructors have years of experience in the field and we are having the best course curriculum

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Testimonial 1

I am a working professional and wanted to acquire more knowledge to solve work-related issues in Azure DevOps. I search so far many institutes and later found Ram trainings. It is a great learning experience with expert instructors.

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Testimonial 2

Excellent Online Job Support institute for working professionals to gain in-depth knowledge in Azure DevOps concepts.

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Testimonial 3

The instructor was a master of all the Azure DevOps concepts. Great to associate with the team.