MS Azure DevOps Online Training | Master with DevOps with Azure Online Course

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Dur: 60 days
Course fee : 8000 /-

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MS Azure + Azure DevOps

Course Overview

Azure DevOps encompasses a range of services and tools designed to facilitate collaboration and streamline the software development lifecycle (SDLC). It includes features for project management, version control, continuous integration and deployment (CI/CD), testing, and monitoring. With Azure DevOps, teams can manage their entire development process in one place, promoting transparency, agility, and productivity.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Description

Azure DevOps consists of several key components:

Azure Boards: Agile planning tools for tracking work items, managing backlogs, and planning sprints using Kanban boards or Scrum methodologies.
Azure Repos: Git repositories for version control, enabling teams to collaborate on code, review changes, and manage branches.
Azure Pipelines: CI/CD service for automating the build, test, and deployment process across different platforms and environments.
Azure Artifacts: Package management service for storing and sharing artifacts like binaries, npm packages, NuGet packages, and more.
Azure Test Plans: Test management tools for planning, executing, and tracking tests to ensure application quality.
Azure DevOps Extensions: Marketplace for integrating with third-party tools and extending the capabilities of Azure DevOps.

Course Objectives

Objectives: The primary objectives of learning Azure DevOps include:

Streamlining Development Processes: Learn how to use Azure DevOps tools to automate repetitive tasks, improve collaboration among team members, and accelerate the software development lifecycle.
Implementing Continuous Integration and Deployment: Understand how to set up automated build and deployment pipelines to deliver high-quality software more frequently and reliably.
Enhancing Collaboration: Master the use of Azure Boards for effective project management and collaboration, enabling teams to plan, track, and deliver software iterations efficiently.
Improving Application Quality: Learn how to leverage Azure Test Plans and other testing tools to ensure the quality and reliability of software through comprehensive testing strategies.
Gaining Insights and Monitoring: Explore how to use Azure DevOps for monitoring application performance, collecting feedback, and gaining insights to continuously improve development processes.

Prerequisites

- Basic understanding of software development lifecycle (SDLC).
- Familiarity with version control systems (e.g., Git).
- Knowledge of agile development methodologies.
- Understanding of continuous integration and continuous delivery (CI/CD) principles.
- Awareness of cloud computing and Azure services.
- Experience with using and navigating development tools or IDEs.

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Course Curriculum

Understanding different Cloud Models
Advantages of Cloud Computing
Different Cloud Services
Different Cloud vendors in the market

Introduction to Azure
Azure Cloud Computing Features
Azure Services
Introduction of Azure Resources/Services with examples
Azure Management Portal
Advantage of Azure Cloud Computing
Managing Azure resources with the Azure portal
Managing Azure with Windows PowerShell
Overview of Azure Resource Manager
Azure Management Services
What is Azure Resource Groups
Configuration and management of Azure Resource groups for hosting Azure services

Overview of Azure Resource Manager Virtual Machines
Planning for Azure Virtual Machines
Deploying Azure Resource Manager Virtual Machines
Authoring Azure Resource Manager Templates

Configuring Virtual Machines
Configuring Virtual Machine Disks
Managing and monitoring Azure Virtual Machines
Addition of managed disks to an existing cloud server
Expansion of managed disk for cloud servers

Creation of VM’s with different windows flavours
Configure VMs for high availability and scalability
Configure high availabilities (AS, AZ, FD & UD details explanations with business case scenarios)
Deploy and Configure Scale Sets/Autoscaling/Horizontal scaling/VMSS
Provisioning and deploying of the VM’s using ARM templates for automations
Configuring Azure Disk encryption
Horizontal and Vertical scaling of Azure VM’s
Redeploy and reapply the VM’s with troubleshooting
Virtual machine scale set (VMSS)
Implementation of Azure Key Vaults for storing secrets, certificates…etc for Azure work loads with different permission @ users and group level
Hosting .NET applications on IIS
Deploying VM for Linux operating system with different Linux commands

What is storage account
Different types of replications in storage accounts
Different types of Blob(Page blob, Append blob & Block blob)
Cloud storage services (ex: container/blob storage service, file storage service, table storage service, & queue storage service)
Create blob container
Creation of file storage services and file share server for different O/S
Implementation of different accesses for container storage services
Maintenance and management of Storage Key and connection string
Implementation configuration of different types of Blob storage services(Page Blob, Append Blob & Block Blob) with use case scenarios
Implementation and configuration of Azure File share server for windows VM using Azure storage key with business requirements

Overview of Azure Networking
Implementing and Managing Azure Virtual Networks
Configuring Azure virtual networks
Configuring Azure virtual network connectivity
Deep dive and Implementation of Azure Load Balancers(Layer 4 and Layer 7 Load Balancers (i)Load Balancer & (ii) Traffic Manager Profile)
Troubleshooting and debugging of Load Balancer(LB) for deep knowledge on Load Balancing concepts
Implementation of inbound and outbound rules for Load balancer
Validation of network traffic via Load Balancer
Different types of load balancers (Basic & Standard) with features and business case scenarios
Implementation and details explanation of Network Security Groups(NSG) with different inbound and outbound security rules

Introduction to App Service
Planning app deployment in App Service
Implementing and maintaining web apps
Create the .NET/Java/PHP web apps
Implementation of Function Apps for serverless concepts

Planning and deploying Azure SQL Database
Implementing and managing Azure SQL Database
Managing Azure SQL Database security
Planning and deployment of SQL DB’s in Azure cloud computing with real time scenarios
Different DB’s Deployment options
Databases purchasing models.(Vcore & DTU’s)
Visualization of cloud DB server, Database and validation of data from onprem(private cloud)
Implementation of Firewall security rules on Azure DB servers to access and connect from on-prem SSMS
Creation of Database in on-premises and synch with azure cloud

Planning and deploying PaaS services in Azure Cloud computing
Managing and maintaining of PAAS cloud services
Configuring deployment app services slots
Monitoring of cloud services in Azure Monitor(VM’s, SA, Vnet…etc)

Deep dive, implementation, and Configuration of Azure Monitor
Setting up Alert rules, Metrics, Actions and Action groups in Azure monitor for different Azure resources deployed in cloud computing
Analysis of activity logs, Metrics, LAW, Action groups, Alert rules in Azure monitor for various IAAS & PASS services deployed in Public Cloud
Managing and Configuring Alerts in Azure Could for different performance counters(ex: VM Start, VM Stop, CPU Percentage, VM Redeploy, VM Reapply…etc)
Deploying an Alerts for Cloud App Service
Deploying Alerts for Azure work loads
Implementing of Action groups in Azure monitor for Azure resources/services
Implementing and configuring Log Analytics Workspace for trouble shooting and logs
Monitoring Cloud Services using Azure monitor
Crafting different chats for various performance counters of Azure Resources
Tracing Activity log in Azure Monitor for all the Azure Resources @ Azure Monitor

Deep dive of Azure Active Directory
Different license offering of Azure Active Directory
On boarding members, Groups and users in Azure AD groups
Implementing & Assigning RBAC roles(IAM) at Resource, Resource group and @ subscription level
Validations for different on boarded users for Identity access management(IAM) for different roles(Ex: Reader, Administrator, Owner, Contibutor…etc)

Assign different roles and permissions to users @ subscriptions and RG level
Deep dive of Azure subscriptions at Resource Manager level
Detail walkthrough of Azure Resource Manager

Migration of Resources from one resource group to an another
Configure resource locks
Configure security standards for RG
Identify auditing requirements
Implement and set tagging on resource groups and other Azure Resources
Removing/Deleting resource groups for cost savings

What is windows PowerShell
Provisioning of Azure Resources using PowerShell Scripting
Advantages of PowerShell
Automations using azure PowerShell Scripts
Implementation & Configuration of Azure automation account for Software’s packages installations in Azure VM’s
Facilitating different tasks using Azure PowerShell scripts

Configure access to Azure resources by assigning roles
Verification of RBAC for different users after onboarding in Azure Active Directory
Configure management access to Azure, troubleshoot RBAC, Assigning RBAC Roles and different level of access as per the Business Requirement

Introduction to Traffic manager
Routing methods (Priority, Weighted,Performance,Geographic)
How to configure different routing methods
What is end point
How to add the endpoints to traffic manager profile as App services

What is Azure DevOps platform
Advantages of Azure DevOps
Why the IT Industry is adopting DevOps, developing and executing the projects in DevOps?
Software Development Life Cycle. Different roles and responsibilities in SDLC
Overview & deep dive of Azure DevOps portal
Benefits and need of DevOps
Relationship between Azure and Azure DevOps(Different platforms for Cloud resources and DevOps tools and services)
Explanation of an Architecture, Organizations, and Projects creation in Azure DevOps portal
Azure DevOps services, purpose, functionality of each Azure DevOps services in details
Relationships between VSTS & Azure DevOps
Getting Access to Azure DevOps
Creation of free trail account in Azure DevOps Portal

Detail explanation, implementation and configuration of Azure DevOps organizations and its features
Detail explanation, implementation and configuration of Azure DevOps projects(Public & Private projects) with all features and settings
On boarding of users in Azure DevOps organizations and projects and provide the access to different users
Azure DevOps Projects configuration with different version control system(Git & TFVC)
Explanation and implementation of different work item process(Basic, Agile, CMMI & Scrum) for Azure DevOps Projects

Different Types of Version Control in Repo’s (i.e., GIT v/s TFVC)
What is GIT? How GIT Works? How TFVC works?
Common features of GIT & TFVC
Which we have to use (GIT & TFVC) for our development projects
Creation of new projects with either GIT or TFVC Version Control
Choosing the version controls (GIT/TFVC) while creating the new projects in Azure DevOps
Setting up GIT in local systems or Local development servers (dev environments)
Installing different versions of GIT depending on our operating systems (Windows, MAC O/S... Etc.)
Cloning of Repos from Azure Repo to our local systems
Creation of branches for the existing projects enhancements and initiating of pull request
Merging the code to master branches

Where can we store our project code to use pipeline?
Where can we deploy (Servers, VM’s...? etc.) our project code, is pipeline free to use?
What is CI/CD?? What is the advantage of CI/CD? When CI/CD will be triggered?
Creation of new Build (CI) pipelines and building of projects automatically in organizations
Setting and Getting Success/Error notifications via emails
Viewing Build logs to fix the errors, debugging & trouble shooting the logs of the build and determining what exactly is the errors/exceptions behind that Build of the code
Key Concepts of Azure Devops Pipelines
What are Agents. Approvals, Artifacts. Environments. Jobs. Run. Stage. Trigger in Azure Devops pipelines
Implementation of Build (CI) Pipeline using classic editor and without creating a YAML file
Instead of using YAML file how to create a pipeline using classic editor

Different types of testing’s that we can perform for Azure Devops projects work items
Detail explanations of different types of test suites that we can design in Azure Devops
Implementation of Test suites, Test cases & Test plans in Azure Devops projects
Importing the Testcases from different work items as per the test plans
Execution of Testcases for different Test suites and Test plans
Writing the test cases for different worktimes and executing for Pass/Failed/Not applicable.…etc.

Introduction & Implementation to Kanban Board (How it looks like, how can we create a Kanban Board? How to open Kanban Boards…etc.)
Implementation of work items in Azure Devops. How to update work item status? What is task and how to add tasks to an issue all details explanation with POC...etc.
Introduction and implementation Backlogs
Introduction & Implementation of new Sprints in Azure DevOps
Assigning work items to a particular sprint from the Backlogs
Creation of a new projects with Agile Process
Detail explanation and implementation of Backlogs in Agile projects or agile workflow process
Implementation of work items & sub work items in Backlogs
Creating and editing of sprints in Agile process
Assigning of work items to sprints

Task Creation Based on the Application Repository
Create the CI Process
Build Setup
Authenticate Build to Azure Web service
Test Cases Build
Build alerts Configuration
IAAS Deployments
PAAS Deployments
Alerts Configuration Using Azure
Build And deployments through PowerShell

Version controlling mechanism using Azure Repos
Branching & merging strategy
Various branching & merging strategies and their scenarios
Git commands
Creation of .net projects in local repo and pushing in server repo using Git commands
Merging, pushing, pulling of projects branches in Azure Repo’s
Project enhancements with files and code changes with real time scenario’s @ server repo and with git commands
Implementation of branching mechanism @ local and server repo’s with Git commands

Continuous Integration using Azure Pipelines
Pipeline creation
Environments
Tasks
Best Practices
Azure Docker image deployment
Deployment and configuration of customized Azure Docker container instance and Azure container registry with node js applications
Provisioning of Azure Container Instances and Container Registry for Docker containers on Linux Operating systems for Node js applications
Installation and configuration of Azure CLI in cloud servers provision docket container instances and host applications on Docker container instance(DCI) and Docker container registries(DCR)

Deployment Pipeline using Azure Pipelines
Automation of Application Configuration (web.config, app.config etc)
Automated workflows for Deployments
Integration with Artifact management

Overview of App Service
Deployment in App Service
Deploy and maintaining web Apps
Configuring app with deployment slots
Configuring the app with DevOps
Hosting .Net web applications on App Services(PAAS) in Azure cloud computing

Automation using Azure Release Pipeline
Fundamentals of SCRUM boards in Azure DevOps
Configuring the automation for CI/CD pipelines for deployment of web apps on Azure Infrastructure
Configuring and automating the deployment approvals with Superiors and deployment times

Deep understanding of Containerization
Virtual machines V/S Docker Containers
Advantages of containers
Deployment of Azure container Instances with on top of Linux O/S with a simple web application
Deployment of Azure container Instances with container registry with customized node .Js web applications(as per business requirements)
Installation of Azure CLI in cloud windows server for hosting private docker container registries

Understanding of terraform scripting
Purpose, advantages, and use of terraform scripting
Workflow of terraform scripts execution
Configuring and making the environments ready to write and execute the terraform scripts for cloud resources
Writing & executing the terraform scripts for different Azure resources as per the business needs…. etc
Writing & executing the terraform scripts for different Azure resources deployment in Azure cloud computing platform
Multiple commands to execute terraform scripts
Writing Infrastructure as code(Iac) for automations in terraforms and executing the terraform executables

Azure Kubernetes cluster deployment by considering node size, node count, node pools, enablement of virtual nodes, cluster Vnet, cluster subnets, Kubernetes version…etc in Azure cloud platform
Execution Kubectl commands to get the details and insights of Kubernetes components….node pools, pods, containers, Kubernetes worker nodes, namespaces of Kubernetes cluster, namespaces of the pods…..etc
Installation of Azure Kubernetes services AKS CLI in private cloud to do the governance and operations from local command prompt for deployment AKS containers, pods, and application deployments inside the Kubernetes cluster pods
Implementation of Yml code to provision virtual machine, app name deployment, port numbers, Operating system, Load Balancers…etc as per the need of project requirements
Triggering AKS commands to login to Kubernetes cluster, maintain and manage the Kubernetes cluster and its components
Deployment of a web application on Kubernetes pods by triggering the various AKS commands and its services
Testing of the deployed application in Kubernetes pods by considering the IP addresses of Pods which are same as LB(as this is mentioned in the Yaml file)

Preparing the Ansible playbooks for provisioning resources in Azure cloud computing like RG, VM, SA, NSG, NIC…etc to fulfil the business requirements…. etc
Building of IAAS Resources in cloud platforms using Ansible Playbooks
Handling Ansible scripts for cloud services
Installation and configuration of Ansible in cloud Ubuntu O/S to run ansible playbooks(Iac) for automations

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Who can learn this course

Azure DevOps is suitable for a wide range of individuals and roles involved in software development, including:

Developers: To streamline code collaboration, automate builds, and deployments.
DevOps Engineers: To implement CI/CD pipelines and manage infrastructure as code.
Project Managers: To plan and track project progress, manage backlogs, and prioritize work items.
Quality Assurance Engineers: To plan, execute, and automate testing processes.
IT Professionals: To manage infrastructure, configure environments, and monitor application performance.
System Administrators: To deploy and manage Azure DevOps services and integrations.

Whether you're a seasoned developer or new to the world of DevOps, learning Azure DevOps can empower you to deliver high-quality software faster and more efficiently, thereby driving innovation and competitiveness in today's rapidly evolving digital landscape.