MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.14 GB | Duration: 6h 19m

Create end-to-end DevOps pipelines using the Azure DevOps Platform
What you'll learn
End-to-end D Pipelines using the Azure DevOps platform
Deploy to Azure Cloud App Service and Azure Container Registry
Branching and Source Control using GIT and Azure Repos Git
How to use Visual Studio Code for check-in code to Git and Azure Repos Git
Configure the CI/Build Integration pipeline on Azure DevOps
Configure the CD/Release pipeline on Azure DevOps
Automated Unit testing using xUnit
Automated Deployment using Docker Images
How to secure your DevOps pipelines using DevSecOps
Promote development to QA using post-deployment and post-deployment conditions
Theory and demonstration on Infrastructure as Code (IaC)
Quick Introduction to IaC tools such as Terraform, Ansible and Chef
Quick Introduction to scripting tools such as PowerShell and Python
Develop a Web Application using ASPNET Core 3.

1
How to use YAML files on Azure DevOps
1+ Year IT knowledge and experience
You do not need to be a developer to complete this course
Knowledge of command line tools will be beneficial
Description
This course is designed to take step by step instructions, demonstrations and Labs to create and configure D Pipelines using the Azure DevOps platform.
The following sections are available in this course
Introduction to DevOps (Fundamentals)
DevOps Tools Required
Setting Up Development Environment
Branching and Source Control
Automated Testing
DevSecOps Security
Microsoft Azure Cloud for Deployments and Azure DevOps Pipelines
Create an ASP.NET Core 3.1 Web App and Docker Files
Configure the CI Pipeline on Azure DevOps
Configure the CD/Release Pipeline on Azure DevOps
Theory on Infrastructure as Code (E.g. Terraform, Chef, Ansible, PowerShell, Python)
Who this course is for
Any Developer who wants to learn Azure DevOps
IT Operations who wants to learn Azure DevOps
QA Testers who wants to learn Azure DevOps
Any IT role who wants to learn Azure DevOps




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