AZ-400T00-Designing and Implementing Microsoft DevOps Solutions

Course Code: IT 8069

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Course Sector:

Information Technology

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Course Dates and Locations

Choose a date and location to book your seat

No.

Date

Days

Location

Fees

Enrollment

22 - 26 Sep 2025

5 Days

London, UK

$4,950

15 - 19 Dec 2025

5 Days

Abu Dhabi, UAE

$4,250

Introduction

Training course introducion / brief

This training course is designed to provide participants the essential concepts and skills needed for them to design and implement DevOps processes and practices. This course will enable them to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

Plan for the transformation with shared goals and timelines
Choose a project and identify project metrics and Key Performance Indicators (KPI's)
Create a team and agile organizational structure
Design a tool integration strategy, license management strategy (e.g., Azure DevOps and GitHub users), strategy for end-to-end traceability from work items to working software, authentication and access strategy, and strategy for integrating on-premises and cloud resources
Recognize the benefits of using Source Control
Describe Azure Repos and GitHub
Migrate from TFVC to Git
Manage code quality including technical debt SonarCloud, and other tooling solutions
Build organizational knowledge on code quality
Explain how to structure Git repos
Describe Git branching workflows
Leverage pull requests for collaboration and code reviews
Leverage Git hooks for automation
Use Git to foster inner source across the organization
Explain the role of Azure Pipelines and its components
Configure Agents for use in Azure Pipelines
Explain why continuous integration matters
Implement continuous integration using Azure Pipelines
Define Site Reliability Engineering
Design processes to measure end-user satisfaction and analyze user feedback
Design processes to automate application analytics
Manage alerts and reduce meaningless and non-actionable alerts
Carry out blameless retrospectives and create a just culture
Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
Implement compliance and security in your application infrastructure
Describe the potential challenges with integrating open-source software
Inspect open-source software packages for security and license compliance
Manage organizational security and compliance policies
Integrate license and vulnerability scans into build and deployment pipelines
Configure build pipelines to access package security and license ratings

DevOps Engineers

Software Developers

System Administrators

IT Professionals

Project Managers

Cloud Architects

Development Teams

Quality Assurance Engineers

Technical Leads and Architects

Module 1: Planning for DevOps

Transformation Planning
Project Selection
Team Structures
Migrating to Azure DevOps
Lab: Agile Planning and Portfolio Management with Azure Boards

Module 2: Getting Started with Source Control

What is Source Control
Benefits of Source Control
Types of Source Control Systems
Introduction to Azure Repos
Introduction to GitHub
Migrating from Team Foundation Version Control (TFVC) to Git in Azure Repos
Lab: Version Controlling with Git in Azure Repos

Module 3: Managing Technical Debt

Identifying Technical Debt
Knowledge Sharing within Teams
Modernizing Development Environments with Codespaces
Lab: Sharing Team Knowledge using Azure Project Wikis

Module 4: Working with Git for Enterprise DevOps

How to Structure Your Git Repo
Git Branching Workflows
Collaborating with Pull Requests in Azure Repos
Why Care About Git Hooks
Fostering Inner Source
Managing Git Repositories
Lab: Version Controlling with Git in Azure Repos

Module 5: Configuring Azure Pipelines

The Concept of Pipelines in DevOps
Azure Pipelines
Evaluate use of Hosted versus Self-Hosted Agents
Agent Pools
Pipelines and Concurrency
Azure DevOps and Open-Source Projects (Public Projects)
Azure Pipelines YAML versus Visual Designer

Lab: Configuring Agent Pools and Understanding Pipeline Styles

Module 6: Implementing Continuous Integration using Azure Pipelines

Continuous Integration Overview
Implementing a Build Strategy
Integration with Azure Pipelines
Integrating External Source Control with Azure Pipelines
Set Up Self-Hosted Agents
Lab: Enabling Continuous Integration with Azure Pipelines
Lab: Integrating External Source Control with Azure Pipelines

Module 7: Managing Application Configuration and Secrets

Introduction to Security
Implement a Secure Development Process
Rethinking Application Configuration Data
Manage Secrets, Tokens, and Certificates
Integrating with Identity Management Systems
Implementing Application Configuration
Lab: Integrating Azure Key Vault with Azure DevOps

Module 8: Implementing Continuous Integration with GitHub Actions

GitHub Actions
Continuous Integration with GitHub Actions
Securing Secrets for GitHub Actions
Lab: GitHub Actions Continuous Integration

Module 9: Designing and Implementing a Dependency Management Strategy

Packaging Dependencies
Package Management
Migrating and Consolidating Artifacts
Package Security
Implementing a Versioning Strategy
Lab: Package Management with Azure Artifacts

Module 10: Designing a Release Strategy

Introduction to Continuous Delivery
Release Strategy Recommendations
Building a High-Quality Release pipeline
Choosing the Right Release Management Tool
Lab: Controlling Deployments using Release Gates
Lab: Creating a Release Dashboard

Module 11: Implementing Continuous Deployment using Azure Pipelines

Create a Release Pipeline
Provision and Configure Environments
Manage and Modularize Tasks and Templates
Configure Automated Integration and Functional Test Automation
Automate Inspection of Health
Lab: Configuring Pipelines as Code with YAML
Lab: Setting up and Running Functional Tests

Module 12: Implementing an Appropriate Deployment Pattern

Introduction to Deployment Patterns
Implement Blue Green Deployment
Feature Toggles
Canary Releases
Dark Launching
AB Testing
Progressive Exposure Deployment
Lab: Feature Flag Management with LaunchDarkly and Azure DevOps

Module 13: Managing Infrastructure and Configuration using Azure Tools

Infrastructure as Code and Configuration Management
Create Azure Resources using ARM Templates
Create Azure Resources using Azure CLI
Azure Automation with DevOps
Desired State Configuration (DSC)
Lab: Azure Deployments using Resource Manager Templates

Module 14: Third Party Infrastructure as Code Tools Available with Azure

Chef
Puppet
Ansible
Terraform
Lab: Automating Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines
Lab: Deploying Apps with Chef on Azure
Lab: Deploy App with Puppet on Azure
Lab: Ansible with Azure

Module 15: Managing Containers using Docker

Implementing a Container Build Strategy
Implementing Docker Multi-Stage Builds
Lab: Modernizing Existing ASP.NET Apps with Azure

Module 16: Creating and Managing Kubernetes Service Infrastructure

Azure Kubernetes Service
Kubernetes Tooling
Integrating AKS with Pipelines
Lab: Deploying a Multi-Container Application to Azure Kubernetes Service

Module 17: Implementing Feedback for Development Teams

Implement Tools to Track System Usage, Feature Usage, and Flow
Implement Routing for Mobile Application Crash Report Data
Develop Monitoring and Status Dashboards
Integrate and Configure Ticketing Systems
Lab: Monitoring Application Performance with Application Insights

Module 18: Implementing System Feedback Mechanisms

Site Reliability Engineering
Design Practices to Measure End-User Satisfaction
Design Processes to Capture and Analyze User Feedback
Design Processes to Automate Application Analytics
Managing Alerts
Blameless Retrospectives and a Just Culture
Lab: Integration between Azure DevOps and Teams

Module 19: Implementing Security in DevOps Projects

Security in the Pipeline
Azure Security Center
Lab: Implement Security and Compliance in an Azure DevOps Pipeline

Module 20: Validating Code Bases for Compliance

Open-Source Software
Managing Security and Compliance Policies
Integrating License and Vulnerability Scans
Lab: Managing Technical Debt with SonarQube and Azure DevOps

Boost certificate of completion

BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.

ENDORSED EDUCATION PROVIDER

Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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