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Microsoft Azure Architect Technologies (Microsoft Azure Architect Technologies)

Microsoft Azure Architect Technologies

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution.

Audience profile

This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes.

Job role: Solutions Architect


Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Microsoft Azure Architect Design (Microsoft Azure Architect Design)

Microsoft Azure Architect Design

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.

Audience profile

This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes.

Job role: Solutions Architect


Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Microsoft Azure Administrator (Microsoft Azure Administrator)

Microsoft Azure Administrator

This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.

Audience profile

This course is for Azure Administrators. The Azure Administrator implements, manages, and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate.

Job role: Administrator


Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Microsoft Azure Security Technologies (Microsoft Azure Security Technologies)

Microsoft Azure Security Technologies

This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations.

Audience profile

This course is for Azure Security Engineers who are planning to take the associated certification exam, or who are performing security tasks in their day-to-day job. This course would also be helpful to an engineer that wants to specialize in providing security for Azure-based digital platforms and play an integral role in protecting an organization's data.

Job role: Security Engineer


Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Implementing an Azure Data Solution (Implementing an Azure Data Solution)

Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Designing an Azure Data Solution (Designing an Azure Data Solution)

 

Prerequisites

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.

Specifically completing:

  • AZ-900 - Azure Fundamentals
  • DP-900 - Microsoft Azure Data Fundamentals
  • DP-200 – Implementing an Azure Data Solution

Course outline

Module 1: Data Platform Architecture Considerations

In this module, the students will learn how to design and build secure, scalable, and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout architecture, regardless of technology choice, can help you design, build, and continuously improve the architecture for an organization's benefit.

Lessons

  • Core Principles of Creating Architectures
  • Design with Security in Mind
  • Performance and Scalability
  • Design for availability and recoverability
  • Design for efficiency and operations
  • Case Study

Lab : Case Study

  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations

After completing this module, students will be able to:

  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations

Module 2: Azure Batch Processing Reference Architectures

In this module, students will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The students will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.

Lessons

  • Lambda architectures from a Batch Mode Perspective
  • Design an Enterprise BI solution in Azure
  • Automate enterprise BI solutions in Azure
  • Architect an Enterprise-grade Conversational Bot in Azure

Lab : Architect an Enterprise-grade Conversational Bot in Azure

  • Designing an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure

After completing this module, students will be able to:

  • Understand the core principles of creating architectures
  • Describe Lambda architectures from a Batch Mode Perspective
  • Design an Enterprise BI solution in Azure
  • Automate enterprise BI solutions in Azure
  • Architect an Enterprise-grade conversational bot in Azure

Module 3: Azure Real-Time Reference Architectures

In this module, the students will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture that streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.

Lessons

  • Describe Lambda architectures for a Real-Time Perspective
  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

Lab : Azure Real-Time Reference Architectures

  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

After completing this module, students will be able to:

  • Describe Lambda architectures for a Real-Time Mode Perspective
  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

Module 4: Data Platform Security Design Considerations

In this module, the students will learn how to incorporate security into an architecture design and learn the key decision points in Azure provided to help create a secure environment through all the layers of architecture.

Lessons

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security

Lab : Data Platform Security Design Considerations

  • Defense in Depth Security Approach
  • Identity Protection

After completing this module, students will understand the following:

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security

Module 5: Designing for Resiliency and Scale

In this module, students will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing storage performance are important to ensure users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into the architecture.

Lessons

  • Adjust Workload Capacity by Scaling
  • Optimize Network Performance
  • Design for Optimized Storage and Database Performance
  • Identify Performance Bottlenecks
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore strategies

Lab : Designing for Resiliency and Scale

  • Adjust Workload Capacity by Scaling
  • Design for Optimized Storage and Database Performance
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures

After completing this module, students will be able to:

  • Adjust Workload Capacity by Scaling
  • Optimize Network Performance
  • Design for Optimized Storage and Database Performance
  • Identify Performance Bottlenecks
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore strategies

Module 6: Design for Efficiency and Operations

In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend and they will understand how to design architectures that eliminate waste and gives them full visibility into what is being utilized in the organization's Azure environment.

Lessons

  • Maximizing the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error

Lab : Design for Efficiency and Operations

  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error

After completing this module, students will be able to:

  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error



Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
Designing and Implementing Microsoft DevOps solutions (Designing and Implementing Microsoft DevOps solutions)

Designing and Implementing Microsoft DevOps solutions

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how 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.

Audience profile

Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.

Job role: DevOps Engineer

 

Skills gained

  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and Key Performance Indicators (KPI's)
  • Create a team and agile organizational structure

Prerequisites

Successful learners will have prior knowledge and understanding of:

  • Cloud computing concepts, including an understanding of PaaS, SaaS, and IaaS implementations.
  • Both Azure administration and Azure development with proven expertise in at least one of these areas.
  • Version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.

If you are new to Azure and cloud computing, consider one of the following resources:

  • Azure Fundamentals 
  • Instructor-led course: AZ-900: Azure Fundamentals 

If you are new to Azure Administration, consider taking:

  • Prerequisites for Azure Administrators 
  • Instructor-led courses: AZ-104: Microsoft Azure Administrator  and AZ-010: Azure Administration for AWS SysOps 

If you are new to Azure Developer, consider taking:

  • Create serverless applications 
  • Instructor-led course: AZ-204: Developing Solutions for Microsoft Azure and AZ-020: Microsoft Azure Solutions for AWS Developers 

Course outline

Module 1: Planning for DevOps

Lessons

  • Transformation Planning
  • Project Selection
  • Team Structures
  • Migrating to Azure DevOps

Lab : Agile Planning and Portfolio Management with Azure Boards

After completing this module, students will be able to:

  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and Key Performance Indicators (KPI's)
  • Create a team and agile organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. Azure DevOps and GitHub users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources

Module 2: Getting Started with Source Control

Lessons

  • 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

After completing this module, students will be able to:

  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git

Module 3: Managing Technical Debt

Lessons

  • Identifying Technical Debt
  • Knowledge Sharing within Teams
  • Modernizing Development Environments with Codespaces

Lab : Sharing Team Knowledge using Azure Project Wikis

After completing this module, students will be able to:

  • Manage code quality including technical debt SonarCloud, and other tooling solutions
  • Build organizational knowledge on code quality

Module 4: Working with Git for Enterprise DevOps

Lessons

  • 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

After completing this module, students will be able to:

  • 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

Module 5: Configuring Azure Pipelines

Lessons

  • 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

After completing this module, students will be able to:

  • Explain the role of Azure Pipelines and its components
  • Configure Agents for use in Azure Pipelines

Module 6: Implementing Continuous Integration using Azure Pipelines

Lessons

  • 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

After completing this module, students will be able to:

  • Explain why continuous integration matters
  • Implement continuous integration using Azure Pipelines

Module 7: Managing Application Configuration and Secrets

Lessons

  • 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

After completing this module, students will be able to:

  • Manage application configuration and secrets
  • Integrate Azure Key Vault with a pipeline

Module 8: Implementing Continuous Integration with GitHub Actions

Lessons

  • GitHub Actions
  • Continuous Integration with GitHub Actions
  • Securing Secrets for GitHub Actions

Lab : GitHub Actions Continuous Integration

After completing this module, students will be able to:

  • Create and work with GitHub Actions and Workflows
  • Implement Continuous Integration with GitHub Actions

Module 9: Designing and Implementing a Dependency Management Strategy

Lessons

  • Packaging Dependencies
  • Package Management
  • Migrating and Consolidating Artifacts
  • Package Security
  • Implementing a Versioning Strategy

Lab : Package Management with Azure Artifacts

After completing this module, students will be able to:

  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • Migrate and consolidate artifacts
  • Migrate and integrate source control measures

Module 10: Designing a Release Strategy

Lessons

  • 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

After completing this module, students will be able to:

  • Differentiate between a release and a deployment
  • Define the components of a release pipeline
  • Explain things to consider when designing your release strategy
  • Classify a release versus a release process, and outline how to control the quality of both
  • Describe the principle of release gates and how to deal with release notes and documentation
  • Choose a release management tool

Module 11: Implementing Continuous Deployment using Azure Pipelines

Lessons

  • 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

After completing this module, students will be able to:

  • Explain the terminology used in Azure DevOps and other Release Management Tooling
  • Describe what a Build and Release task is, what it can do, and some available deployment tasks
  • Explain why you sometimes need multiple release jobs in one release pipeline
  • Differentiate between multi-agent and multi-configuration release job
  • Use release variables and stage variables in your release pipeline
  • Deploy to an environment securely using a service connection
  • List the different ways to inspect the health of your pipeline and release by using alerts, service hooks, and reports

Module 12: Implementing an Appropriate Deployment Pattern

Lessons

  • 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

After completing this module, students will be able to:

  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment

Module 13: Managing Infrastructure and Configuration using Azure Tools

Lessons

  • 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

After completing this module, students will be able to:

  • Apply infrastructure and configuration as code principles.
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI

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

Lessons

  • 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

After completing this module, students will be able to:

  • Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, and Terraform

Module 15: Managing Containers using Docker

Lessons

  • Implementing a Container Build Strategy
  • Implementing Docker Multi-Stage Builds

Lab : Modernizing Existing ASP.NET Apps with Azure

After completing this module, students will be able to:

  • Implement a container strategy including how containers are different from virtual machines and how microservices use containers
  • Implement containers using Docker
  • Implement Docker multi-stage builds

Module 16: Creating and Managing Kubernetes Service Infrastructure

Lessons

  • Azure Kubernetes Service
  • Kubernetes Tooling
  • Integrating AKS with Pipelines

Lab : Deploying a Multi-Container Application to Azure Kubernetes Service

After completing this module, students will be able to:

  • Deploy and configure a Managed Kubernetes cluster

Module 17: Implementing Feedback for Development Teams

Lessons

  • 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

After completing this module, students will be able to:

  • Implement tools to track system usage, feature usage, and flow
  • Configure crash report integration for client applications
  • Implement routing for client application crash report data
  • Develop monitoring and status dashboards
  • Integrate and configure ticketing systems with development team's work management

Module 18: Implementing System Feedback Mechanisms

Lessons

  • 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

After completing this module, students will be able to:

  • 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

Module 19: Implementing Security in DevOps Projects

Lessons

  • Security in the Pipeline
  • Azure Security Center

Lab : Implement Security and Compliance in an Azure DevOps Pipeline

After completing this module, students will be able to:

  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure

Module 20: Validating Code Bases for Compliance

Lessons

  • Open-Source Software
  • Managing Security and Compliance Policies
  • Integrating License and Vulnerability Scans

Lab : Managing Technical Debt with SonarQube and Azure DevOps

After completing this module, students will be able to:

  • 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




Price Includes International Curriculum Courseware And Very Active Real-Time Labs.

Recommended Courses and Certification:
$0.00
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