Microsoft Azure Training - Australia

Microsoft Azure Administration Course Outline | M-AZ103

Module 1: Azure Administration

In this module, delegates will learn about Azure Administrator uses to manage their infrastructure. This module includes Azure Portal, Azure PowerShell, Cloud Shell, CLI, resource manager, and resource manager templates.

Lesson

• Resource Groups
• Azure PowerShell and CLI
• Resource Manager
• ARM Templates

Module 2: Virtual Machines

This module describes Azure virtual machines including planning, creating, availability and extensions.

Lesson

• Virtual Machine Planning
• Creating Virtual Machines
• Virtual Machine Availability
• Virtual Machine Extensions
• Lab: Deploy and Manage Virtual Machines

Module 3: Azure Storage

In this module, delegates will learn about basic storage features, including storage accounts, blob storage, Azure files, and storage security.

Lesson

• Storage Accounts
• Azure Blobs
• Azure Files
• Storage Security
• Lab: Deploy and Manage Virtual Machines

Module 4: Virtual Networking

In this module, delegates will gain knowledge of virtual networks, IP addressing, Azure DNS, and network security groups.

Lesson

• Virtual Networks
• IP Addressing
• Azure DNS
• Network Security Groups
• Lab: Implement and Manage Virtual Networking

Module 5: Data Protection

This data protection module describes data replication strategies, backing up files and folders, and virtual machine backups.

Lesson

• Data Replication
• File and Folder Backups
• Virtual Machine Backups
• Lab: Azure Site Recovery Between Regions

Module 6: Intersite Connectivity

In this module, delegates will learn about intersite connectivity features, including VNet Peering, VNet-to-VNet connections, Site-to-Site Connections, and ExpressRoute.

Lesson

• Service Endpoints and Network Routing
• VNet-to-VNet Connections
• ExpressRoute
• Lab: VNet Peering and Service Chaining

Module 7: Network Traffic Management

This module explains network traffic strategies, including service endpoints, network routing, Azure Load Balancer, and Azure Traffic Manager.

Lesson

• Service Endpoints and Network Routing
• Azure Load Balancer
• Azure Traffic Manager
• Lab: Load Balancer and Traffic Manager

Module 8: Subscriptions and Accounts

In this module, delegates will gain knowledge about managing subscriptions and accounts, including role-based access control, users and groups, Azure policy, and billing.

Lesson

• Subscriptions and Accounts
• Role-Based Access Control
• Users and Groups
• Azure Policy
• Billing
• Lab: Governance and Compliance

Module 9: Azure Active Directory

In this module, delegates will learn about Azure Active Directory (AD), including Azure AD Connect and Azure AD Join.

Lesson

• Azure Active Directory
• Azure AD Connect
• Azure AD Join
• Lab: Implement Directory Synchronisation

Module 10: Securing Identities

This module explains how to secure identities, including multi-factor authentication, self-service password reset, Azure AD identity protection.

Lesson

• Multi-Factor Authentication
• Azure AD Identity Protection
• Self-Service Password Reset
• Lab: Azure AD Identity Protection and Self-Service Password Reset

Module 11: Sharing Data

In this module, delegates will learn about how to share data using import and export service, content delivery network, data box, and file sync.

Lesson

• Import and Export Service
• Data Box
• Content Delivery Network
• File Sync
• Lab: File Sync

Module 12: Monitoring

This module explains monitoring Azure infrastructure, alerting, log analytics, and network watcher.

Lesson

• Azure Monitor
• Azure Alerts
• Log Analytics
• Network Watcher
• Lab: File Sync

Introduction to Microsoft Azure for IT Professionals Course Outline | M10979

Please Note: Microsoft will be retiring this course M10979 on the 31st of January 2020

​Module 1 - Getting Started with Microsoft Azure

In this module, delegates will learn about cloud services and the various Azure services. It defines how to use the Azure portal and manage Azure services, bills, and subscriptions.

Lessons

• What is Cloud Computing?
• What is Azure?
• Managing Azure
• Subscription Management, Support, and Billing

Lab: Using the Azure Portals

• Customizing the Azure Portal Interface
• Viewing Billing, Usage, and Quotas Data

After completing this module, you will be able to:

• Describe cloud computing
• Describe Azure and its various services
• Manage Azure services from the Azure portal
• Manage your Azure subscription and billing

Module 2 - Microsoft Azure Management Tools

In this module, delegates will learn about Azure PowerShell. It also explains how to use the Azure SDK and Azure CLI to manage Azure subscriptions.

Lessons

• What is Azure PowerShell?
• Azure SDK and Azure CLI
• Lab: Using Microsoft Azure Management Tools
• Using the Azure PowerShell Modules
• Using the Azure CLI

After completing this module, you will be able to:

• Describe and use Azure PowerShell to manage your Azure subscription
• Describe the visual studio tools for Azure and use the Azure CLI to manage your Azure subscription.

Module 3 - Virtual Machines in Microsoft Azure

This module will teach how to create and configure virtual machines in Azure as well as manage disks for virtual machines.

Lessons

• Creating and Configuring Azure VMs
• Configuring Azure VM Storage

Lab: Creating a VM in Azure

• Creating a VM from the Azure Portal by Using an Azure Marketplace Image
• Verifying the Functionality of the VM
• Configuring Storage of a VM

After completing this module, you will be able to:

• Create and configure VMs in Azure.
• Configure VM availability.
• Configure disks for VMs.

Module 4 - Azure Web Apps

In this module, delegates will get an understanding of how to create, configure, deploy, and monitor in Azure web apps.

Lessons

• Creating and Configuring Azure Web Apps
• Deploying and Monitoring Azure Web Apps

Lab: Creating and Managing Azure Web Apps

• Creating and Configuring an Azure Web App

After completing this module, you will be able to:

• Create and Configure Web Apps in Microsoft Azure.
• Deploy and Monitor Azure Web Apps.

Module 5 - Implementing Azure Networking

This module will define how to implement Azure networks and use its components to enhance the resiliency and availability of virtual machines. Delegates will get an understanding of Azure load balancer and will be able to create and configure virtual networks.

Lessons

• Getting Started with Azure Networking
• Getting Started with Azure Load Balancer

Lab: Creating and Configuring Virtual Networks

• Creating a Virtual Network
• Creating an Azure Load Balancer

After completing this module, you will be able to:

• Describe the purpose and functionality of Azure networking and Azure virtual networks.
• Create Azure virtual networks.
• Describe and implement Azure load balancer.

Module 6 – Introduction Azure Storage and Data Services

In this module, delegates will get an understanding of how to create and manage storage with Azure.

Lessons

• Understanding Azure Storage Options
• Create and Manage Storage
• Understanding Options for Relational Database Deployments
• Creating and Connecting to Azure SQL Databases

Lab: Configuring Azure Storage

• Creating and Configuring an Azure Storage Account
• Creating and Managing Blobs

Lab: Creating a SQL Database in Azure

• Creating a new Azure SQL database in Azure and configuring SQL Server firewall rules
• Managing content of an Azure SQL database by using SQL Server Management Studio

After completing this module, you will be able to:

• Describe the features and benefits of Microsoft Azure Storage.
• Create and manage Azure storage.
• Describe options for relational database deployment in Microsoft Azure.
• Create, connect, and manage the content of Microsoft Azure SQL Database instances.

Module 7 - Introduction to Containers and Serverless Computing in Azure

This module will cover the opportunities for implementing containers. It will also provide knowledge about Serverless technologies available in Azure.

Lessons

• Implementing Windows and Linux Containers in Azure
• Introduction to Azure Serverless Computing

Lab: Implementing Containers on Azure VMs

• Implementing Docker Hosts on Azure VMs
• Deploying Containers to Azure VMs
• Deploying Multi-Container Applications with Docker Compose to Azure VMs

After completing this module, you will be able to:

• Describe the options for implementing containers in Azure.
• Describe the serverless technologies available in Azure.

Module 8 - Configuring and Managing Azure AD

In this module, delegates will get an understanding of how to create users, domains, and directories in Azure AD, integrate applications with Azure AD and use multi-factor authentication.

Lessons

• Overview of Azure AD
• Manage Azure AD Authentication and Authorization

Lab: Create and Manage Azure Active Directory

After completing this module, you will be able to:

• Create and manage Azure AD tenants, domains, and users.
• Manage Azure AD authentication and authorization.

Developing Solutions for Microsoft Azure AZ204 Course Outline

Within this training course you will learn the following modules: 

Module 1: Create Azure App Service web apps

Learn how Azure App Service functions and how to create and update an app. Explore App Service authentication and authorization, configuring app settings, scale apps, and how to use deployment slots.

Lessons

• Explore Azure App Service
• Configure web app settings
• Scale apps in Azure App Service
• Explore Azure App Service deployment slots

Module 2: Implement Azure functions

Learn how to create and deploy Azure Functions. Explore hosting options, bindings, triggers, and how to use Durable Functions to define stateful workflows.

Lessons

• Explore Azure Functions
• Develop Azure Functions
• Implement Durable Functions

Module 3: Develop solutions that use Blob storage

Learn how to create Azure Blob storage resources, manage data through the blob storage lifecycle, and work with containers and items by using the Azure Blob storage client library V12 for .NET.

Lessons

• Explore Azure Blob storage
• Manage the Azure Blob storage lifecycle
• Work with Azure Blob storage

Module 4: Develop solutions that use Azure Cosmos DB

Learn how to create Azure Cosmos DB resources with the appropriate consistency levels, choose and create a partition key, and perform data operations by using the .NET SDK V3 for Azure Cosmos DB.

Lessons

• Explore Azure Cosmos DB
• Implement partitioning in Azure Cosmos DB
• Work with Azure Cosmos DB

Module 5: Implement infrastructure as a service solution

Learn how to create and deploy virtual machine, deploy resources using Azure Resource Manager templates, and manage and deploy containers.

Lessons

• Provision virtual machines in Azure
• Create and deploy Azure Resource Manager templates
• Manage container images in Azure Container Registry
• Run container images in Azure Container Instances

Module 6: Implement user authentication and authorization

Learn how to implement authentication and authorization to resources by using the Microsoft identity platform, Microsoft Authentication Library, shared access signatures, and use Microsoft Graph.

Lessons

• Explore the Microsoft identity platform
• Implement authentication by using the Microsoft Authentication Library
• Implement shared access signatures
• Explore Microsoft Graph

Module 7: Implement secure cloud solutions

Learn how to deploy apps more securely in Azure by using Azure Key Vault, managed identities, and Azure App Configuration.

Lessons

• Implement Azure Key Vault
• Implement managed identities
• Implement Azure App Configuration

Module 8: Implement API Management

Learn how the API Management service functions, how to transform and secure APIs, and how to create a backend API.

Lessons

• Explore API Management

Module 9: Develop event-based solutions

Learn how to build applications with event-based architectures by integrating Azure Event Grid and Azure Event Hubs into your solution.

Lessons

• Explore Azure Event Grid
• Explore Azure Event Hubs

Module 10: Develop message-based solutions

Learn how to build applications with message-based architectures by integrating Azure Service Bus and Azure Queue Storage into your solution.

Lessons

• Discover Azure message queues

Module 11: Instrument solutions to support monitoring and logging

Learn how to instrument apps to enable Application Insights to monitor performance and help troubleshoot issues.

Lessons

• Monitor app performance

Module 12: Integrate caching and content delivery within solutions

Learn how to improve the performance and scalability of your applications by integrating Azure Cache for Redis and Azure Content Delivery Network into your solution.

Lessons

• Develop for Azure Cache for Redis
• Develop for storage on CDNs

Designing and Implementing Microsoft DevOps solutions AZ400 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Get started on a DevOps transformation journey

Lessons

• Introduction to DevOps
• Choose the right project
• Describe team structures
• Choose the DevOps tools
• Plan Agile with GitHub Projects and Azure Boards
• Introduction to source control
• Describe types of source control systems
• Work with Azure Repos and GitHub

Lab: Agile planning and portfolio management with Azure Boards

Lab: Version controlling with Git in Azure Repos

After completing this module, students will be able to:

• Understand what DevOps is and the steps to accomplish it
• Identify teams to implement the process
• Plan for the transformation with shared goals and timelines
• Plan and define timelines for goals
• Understand different projects and systems to guide the journey
• Select a project to start the DevOps transformation
• Identify groups to minimize initial resistance
• Identify project metrics and Key Performance Indicators (KPI's)
• Understand agile practices and principles of agile development
• Create a team and agile organizational structure

Module 2: Development for enterprise DevOps

Lessons

• Structure your Git Repo
• Manage Git branches and workflows
• Collaborate with pull requests in Azure Repos
• Explore Git hooks
• Plan foster inner source
• Manage Git repositories
• Identify technical debt

Lab: Version controlling with Git in Azure Repos

After completing this module, students will be able to:

• Understand Git repositories
• Implement mono repo or multiple repos
• Explain how to structure Git Repos
• Implement a change log
• Describe Git branching workflows
• Implement feature branches
• Implement GitFlow
• Fork a repo
• Leverage pull requests for collaboration and code reviews
• Give feedback using pull requests

Module 3: Implement CI with Azure Pipelines and GitHub Actions

Lessons

• Explore Azure Pipelines
• Manage Azure Pipeline agents and pools
• Describe pipelines and concurrency
• Explore Continuous integration
• Implement a pipeline strategy
• Integrate with Azure Pipelines
• Introduction to GitHub Actions
• Learn continuous integration with GitHub Actions
• Design a container build strategy

Lab: Configuring agent pools and understanding pipeline styles

Lab: Enabling continuous integration with Azure Pipelines

Lab: Integrating external source control with Azure Pipelines

Lab: Implementing GitHub Actions by using DevOps Starter

Lab: Deploying Docker Containers to Azure App Service web apps

After completing this module, students will be able to:

• Describe Azure Pipelines
• Explain the role of Azure Pipelines and its components
• Decide Pipeline automation responsibility
• Understand Azure Pipeline key terms
• Choose between Microsoft-hosted and self-hosted agents
• Install and configure Azure pipelines Agents
• Configure agent pools
• Make the agents and pools secure
• Use and estimate parallel jobs

Module 4: Design and implement a release strategy

Lessons

• Introduction to continuous delivery
• Create a release pipeline
• Explore release strategy recommendations
• Provision and test environments
• Manage and modularize tasks and templates
• Automate inspection of health

Lab: Creating a release dashboard

Lab: Controlling deployments using Release Gates

After completing this module, students will be able to:

• Explain continuous delivery (CD)
• Implement continuous delivery in your development cycle
• Understand releases and deployment
• Identify project opportunities to apply CD
• Explain things to consider when designing your release strategy
• Define the components of a release pipeline and use artifact sources
• Create a release approval plan
• Implement release gates
• Differentiate between a release and a deployment

Module 5: Implement a secure continuous deployment using Azure Pipelines

Lessons

• Introduction to deployment patterns
• Implement blue-green deployment and feature toggles
• Implement canary releases and dark launching
• Implement A/B testing and progressive exposure deployment
• Integrate with identity management systems
• Manage application configuration data

Lab: Configuring pipelines as code with YAML

Lab: Setting up and running functional tests

Lab: Integrating Azure Key Vault with Azure DevOps

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
• Implement release jobs
• Differentiate between multi-agent and multi-configuration release job
• Provision and configure target environment
• Deploy to an environment securely using a service connection
• Configure functional test automation and run availability tests
• Setup test infrastructure
• Use and manage task and variable groups

Module 6: Manage infrastructure as code using Azure and DSC

Lessons

• Explore infrastructure as code and configuration management
• Create Azure resources using Azure Resource Manager templates
• Create Azure resources by using Azure CLI
• Explore Azure Automation with DevOps
• Implement Desired State Configuration (DSC)
• Implement Bicep

Lab: Azure deployments using Azure Resource Manager templates

After completing this module, students will be able to:

• Understand how to deploy your environment
• Plan your environment configuration
• Choose between imperative versus declarative configuration
• Explain idempotent configuration
• Create Azure resources using ARM templates
• Understand ARM templates and template components
• Manage dependencies and secrets in templates
• Organize and modularize templates
• Create Azure resources using Azure CLI

Module 7: Implement security and validate code bases for compliance

Lessons

• Introduction to Secure DevOps
• Implement open-source software
• Software Composition Analysis
• Static analyzers
• OWASP and Dynamic Analyzers
• Security Monitoring and Governance

Lab: Implement security and compliance in Azure Pipelines

Lab: Managing technical debt with SonarQube and Azure DevOps

After completing this module, students will be able to:

• Identify SQL injection attack
• Understand DevSecOps
• Implement pipeline security
• Understand threat modeling
• Implement open-source software
• Explain corporate concerns for open-source components
• Describe open-source licenses
• Understand the license implications and ratings
• Work with Static and Dynamic Analyzers
• Configure Microsoft Defender for Cloud

Module 8: Design and implement a dependency management strategy

Lessons

• Explore package dependencies
• Understand package management
• Migrate, consolidate, and secure artifacts
• Implement a versioning strategy
• Introduction to GitHub Packages

Lab: Package management with Azure Artifacts

After completing this module, students will be able to:

• Define dependency management strategy
• Identify dependencies
• Describe elements and componentization of a dependency management
• Scan your codebase for dependencies
• Implement package management
• Manage package feed
• Consume and create packages
• Publish packages
• Identify artifact repositories
• Migrate and integrate artifact repositories

Module 9: Implement continuous feedback

Lessons

• Implement tools to track usage and flow
• Develop monitor and status dashboards
• Share knowledge within teams
• Design processes to automate application analytics
• Manage alerts, Blameless retrospectives and a just culture

Lab: Monitoring application performance with Application Insights

Lab: Integration between Azure DevOps and Microsoft Teams

Lab: Sharing Team Knowledge using Azure Project Wikis

After completing this module, students will be able to:

• Implement tools to track feedback
• Plan for continuous monitoring
• Implement Application Insights
• Use Kusto Query Language (KQL)
• Implement routing for mobile applications
• Configure App Center Diagnostics
• Configure alerts
• Create a bug tracker
• Configure Azure Dashboards
• Work with View Designer in Azure Monitor

Microsoft Azure Security Technologies AZ500 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Manage Identity and Access

This module covers Azure Active Directory, Azure Identity Protection, Enterprise Governance, Azure AD PIM, and Hybrid Identity.

Lessons

• Azure Active Directory
• Hybrid Identity
• Azure Identity Protection
• Azure AD Privileged Identity Management
• Enterprise Governance

Lab: Role-Based Access Control

Lab: Azure Policy

Lab: Resource Manager Locks

Lab: MFA, Conditional Access and AAD Identity Protection

Lab: Azure AD Privileged Identity Management

Lab: Implement Directory Synchronization

After completing this module, students will be able to:

• Implement enterprise governance strategies including role-based access control, Azure policies, and resource locks.
• Implement an Azure AD infrastructure including users, groups, and multi-factor authentication.
• Implement Azure AD Identity Protection including risk policies, conditional access, and access reviews.
• Implement Azure AD Privileged Identity Management including Azure AD roles and Azure resources.
• Implement Azure AD Connect including authentication methods and on-premises directory synchronization.

Module 2: Implement Platform Protection

This module covers perimeter, network, host, and container security.

Lessons

• Perimeter Security
• Network Security
• Host Security
• Container Security

Lab: Configuring and Securing ACR and AKS

Lab: Azure Firewall

Lab: Network Security Groups and Application Security Groups

After completing this module, students will be able to:

• Implement perimeter security strategies including Azure Firewall.
• Implement network security strategies including Network Security Groups and Application Security Groups.
• Implement host security strategies including endpoint protection, remote access management, update management, and disk encryption.
• Implement container security strategies including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.

Module 3: Secure Data and Applications

This module covers Azure Key Vault, application security, storage security, and SQL database security.

Lessons

• Azure Key Vault
• Application Security
• Storage Security
• SQL Database Security

Lab: Key Vault (Implementing Secure Data by setting up Always Encrypted)

Lab: Securing Azure SQL Database

Lab: Service Endpoints and Securing Storage

After completing this module, students will be able to:

• Implement Azure Key Vault including certificates, keys, and secretes.
• Implement application security strategies including app registration, managed identities, and service endpoints.
• Implement storage security strategies including shared access signatures, blob retention policies, and Azure Files authentication.
• Implement database security strategies including authentication, data classification, dynamic data masking, and always encrypted.

Module 4: Manage Security Operations

This module covers Azure Monitor, Azure Security Center, and Azure Sentinel.

Lessons

• Azure Monitor
• Azure Security Center
• Azure Sentinel

Lab: Azure Sentinel

Lab: Azure Security Center

Lab: Azure Monitor

After completing this module, students will be able to:

• Implement Azure Monitor including connected sources, log analytics, and alerts.
• Implement Azure Security Center including policies, recommendations, and just in time virtual machine access.
• Implement Azure Sentinel including workbooks, incidents, and playbooks.

Microsoft Azure Solutions Architect - Technologies (M-AZ300) Course Outline

Deploying and Configuring Infrastructure (AZ-300T01)​

• Module 1: Managing Azure Subscriptions and Resources
• Module 2: Implementing and Managing Storage
• Module 3: Deploying and Managing Virtual Machines (VMs)
• Module 4: Configuring and Managing Virtual Networks#
• Module 5: Managing Identities

Implementing Workloads and Security (AZ-300T02)

• Module 1: Evaluating and Performing Server Migration to Azure
• Module 2: Implementing and Managing Application Services
• Module 3: Implementing Advanced Virtual Networking
• Module 4: Securing Identities

Understanding Cloud Architect Technology Solutions (AZ-300T03)

• Module 1: Selecting Compute and Storage Solutions
• Module 2: Hybrid Networking
• Module 3: Measuring Throughput and Structure of Data Access

Creating and Deploying Apps (AZ-300T04)

• Module 1: Creating Web Applications using PaaS
• Module 2: Creating Apps and Services Running on Service Fabric
• Module 3: Using Azure Kubernetes Service This module focuses on the Azure

Implementing Authentication and Secure Data (AZ-300T05)

• Module 1: Implementing Authentication
• Module 2: Implementing Secure Data

Developing for the Cloud (AZ-300T06)

• Module 1: Developing Long-Running Tasks and Distributed Transactions
• Module 2: Configuring a Message-Based Integration Architecture
• Module 3: Developing for Asynchronous Processing
• Module 4: Developing for Autoscaling
• Module 5: Developing Azure Cognitive Services Solutions

Microsoft Azure Solutions Architect Design MAZ301 Course Outline

Module 1: Managing Security & Identity for Azure Solutions

This module discusses both security and identity within the context of Azure. For security, this module reviews the various options for monitoring security, the options available for securing data and the options for securing application secrets. For identity, this module focuses specifically on Azure Active Directory (Azure AD) and the various features available such as Multi-Factor Authentication (MFA), Managed Service Identity, Azure AD Connect, ADFS and Azure AD B2B/B2C.

• Lab: Securing Secrets in Azure

After completing this module, students will be able to:

• Integrate their existing solutions with external identity providers using Azure AD B2B or B2C.
• Design a hybrid identity solution.
• Determine when to use advanced features of Azure AD such as Managed Service Identity, MFA and Privileged Identity Management.
• Secure application secrets using Key Vault.
• Secure application data using SQL Database and Azure Storage features.

Module 2: Integrating SaaS Services Available on the Azure Platform

This module introduces multiple SaaS services available in Azure that are available for integration into existing Azure solutions. These services include Cognitive Services, Bot Service, Machine Learning and Media Services

• Lab : Deploying Service Instances as Components of Overall Azure Solutions

After completing this module, students will be able to:

• Detail the various APIs available in Cognitive Services.
• Identify when to use the Face API, Speech API or Language Understanding (LUIS) service.

Module 3: Backing Azure Solutions with Azure Storage

This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure. The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution.

After completing this module, students will be able to:

• Determine the ideal pricing option for Azure Storage based on a solution’s requirements.
• Identify performance thresholds for the Azure Storage service.
• Determine the type of Storage blobs to use for specific solution components.
• Use the Azure Files service for SMB operations.
• Identify solutions that could benefit from the use of StorSimple physical or virtual devices.

Module 4: Comparing Database Options in Azure

This module compares the various relational and non-relational data storage options available in Azure. Options are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake)

• Lab: Deploying Database Instances in Azure

After completing this module, students will be able to:

• Compare and contrast monitoring services for applications, the Azure platform, and networking.
• Identify data streaming options for large-scale data ingest.
• Identify longer-term data storage options.

Module 5: Monitoring & Automating Azure Solutions

This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed. The module reviews services that are used to monitor individual applications, the Azure platform, and networked components. This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure.

• Lab: Deploying Configuration Management Solutions to Azure

After completing this module, students will be able to:

• Compare and contrast monitoring services for applications, the Azure platform, and networking.
• Design an alert scheme for a solution hosted in Azure.
• Select the appropriate backup option for infrastructure and data hosted in Azure.
• Automate the deployment of future resources for backup recovery or scaling purposes.

Module 6: Deploying Resources with Azure Resource Manager

This module establishes a basic understanding of the Azure Resource Manager and the core concepts of deployments, resources, templates, resource groups, and tags. The module will dive deeply into the automated deployment of resources using ARM templates.

• Lab: Deploying Resources with Azure Resource Manager

After completing this module, students will be able to:

• Create a resource group.
• Add resources to a resource group.
• Deploy an ARM template to a resource group.
• Filter resources using tags.
• Author a complex deployment using the Azure Building Blocks tools.

Module 7: Creating Managed Server Applications in Azure

This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.

• Lab: Deploying Managed Containerized Workloads to Azure

After completing this module, students will be able to:

• Select between hosting application code or containers in an App Service instance.
• Describe the differences between API, Mobile, and Web Apps.
• Integrate an API or Logic App with the API Management service.
• Design an App Service Plan or multi-region deployment for high performance and scale.

Module 8: Authoring Serverless Applications in Azure

This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.

• Lab: Deploying Serverless Workloads to Azure

After completing this module, students will be able to:

• Select between hosting application code or containers in an App Service instance.
• Describe the differences between API, Mobile, and Web Apps.
• Integrate an API or Logic App with the API Management service.
• Design an App Service Plan or multi-region deployment for high performance and scale.

Module 9: Application Architecture Patterns in Azure

This module introduces, and reviews common Azure patterns and architectures as prescribed by the Microsoft Patterns & Practices team. Each pattern is grouped into performance, resiliency, and scalability categories and described in the context of similar patterns within the category.

After completing this module, students will be able to:

• Locate and reference the Cloud Design Patterns documentation.
• Locate and reference the Azure Architecture Center.
• Describe various patterns pulled from the Cloud Design Patterns.

Module 10: Building Azure IaaS-Based Server Applications (ADSK)

This module identifies workloads that are ideally deployed using Infrastructure-as-a-Service services in Azure. The module focuses on the VM Scale Sets and Virtual Machine services in Azure and how to best deploy workloads to these services using best practices and features such as Availability Sets.

• Lab: Building Azure IaaS-Based Server Applications.

After completing this module, students will be able to:

• Design an availability set for one or more virtual machines.
• Describe the differences between fault and update domains.
• Author a VM Scale Set ARM template.
• Join a virtualized machine to a domain either in Azure or on a hybrid network.

Module 11: Networking Azure Application Components

This module describes the various networking and connectivity options available for solutions deployed on Azure. The module explores connectivity options ranging from ad-hoc connections to long-term hybrid connectivity scenarios. The module also discusses some of the performance and security concerns related to balancing workloads across multiple compute instances, connecting on-premise infrastructure to the cloud and creating gateways for on-premise data.

• Lab: Deploying Network Infrastructure for Use in Azure Solutions

After completing this module, students will be able to:

• Describe DNS and IP strategies for VNETs in Azure.
• Compare connectivity options for ad-hoc and hybrid connectivity.
• Distribute network traffic across multiple loads using load balancers.
• Design a hybrid connectivity scenario between cloud and on-premise.

Module 12: Integrating Azure Solution Components Using Messaging Services

This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform. Messaging services described include Azure Storage Queues, Service Bus Queues, Service Bus Relay, IoT Hubs, Event Hubs, and Notification Hubs. Integration services include Azure Functions and Logic Apps.

• Lab: Integrating Azure Solution Components using Messaging Services

After completing this module, students will be able to:

• Compare Storage Queues to Service Bus Queues.
• Identify when to use Azure Functions or Logic Apps for integration components in a solution.
• Describe the differences between IoT Hubs, Event Hubs and Time Series Insights.

Designing and Implementing a Data Science Solution on Azure DP100 Course Outline

Module 1: Design a Data Ingestion Strategy for Machine Learning Projects

• Introduction
• Identify Your Data Source and Format
• Choose How to Serve Data to Machine Learning Workflows
• Design a Data Ingestion Solution

Module 2: Design a Machine Learning Model Training Solution

• Identify Machine Learning Tasks
• Choose a Service to Train a Machine Learning Model
• Decide Between Compute Options

Module 3: Design a Model Deployment Solution

• Understand How Model Will Be Consumed
• Decide on Real-Time or Batch Deployment

Module 4: Azure Machine Learning Workspace Resources and Assets

• Create an Azure Machine Learning Workspace
• Identify Azure Machine Learning Resources
• Identify Azure Machine Learning Assets
• Train Models in the Workspace

Module 5: Developer Tools for Workspace Interaction

• Studio
• Python SDK
• CLI

Module 6: Make Data Available in Azure Machine Learning

• Understand URIs
• Create a Datastore
• Create a Data Asset

Module 7: Work with Compute Targets in Azure Machine Learning

• Create and Use a Compute Instance
• Create and Use a Compute Cluster

Module 8: Work with Environments in Azure Machine Learning

• Understand Environments
• Use Curated Environments
• Create and Use Custom Environments

Module 9: Classification Model with Automated Machine Learning

• Preprocess Data and Configure Featurisation
• Run an Automated Machine Learning Experiment
• Evaluate and Compare Models

Module 10: Track Model Training in Jupyter Notebooks with MLflow

• Configure MLflow For Model Tracking in Notebooks
• Train and Track Models in Notebooks

Module 11: Run Training Script as a Command Job in Azure Machine Learning

• Convert a Notebook to a Script
• Run a Script as a Command Job
• Use Parameters in a Command Job

Module 12: Track Model Training with MLflow in Jobs

• Track Metrics with MLflow
• View Metrics and Evaluate Models

Module 13: Run Pipelines in Azure Machine Learning

• Create Components
• Create a Pipeline
• Run a Pipeline Job

Module 14: Perform Hyperparameter Tuning with Azure Machine Learning

• Define a Search Space
• Configure a Sampling Method
• Configure Early Termination
• Use a Sweep Job for Hyperparameter Tuning

Module 15: Deploy a Model to a Managed Online Endpoint

• Managed Online Endpoints
• Deploy the MLflow Model to a Managed Online Endpoint
• Deploy a Model to a Managed Online Endpoint
• Test Managed Online Endpoints

Module 16: Deploy a Model to a Batch Endpoint

• Understand and Create Batch Endpoints
• Deploy Your MLflow Model to a Batch Endpoint
• Deploy a Custom Model to a Batch Endpoint
• Invoke and Troubleshoot Batch Endpoints

Implementing an Azure Data Solution Certification (M-DP200)​ Course Outline

Module 1: Azure for the Data Engineer

This module explores how the world of data has evolved and how cloud datAudiencea platform technologies are providing new opportunities for business to explore their data in different ways. The student will gain an overview of the various data platform technologies that are available, and how a Data Engineers role and responsibilities has evolved to work in this new world to an organization benefit

Lessons

• Explain the evolving world of data
• Survey the services in the Azure Data Platform
• Identify the tasks that are performed by a Data Engineer
• Describe the use cases for the cloud in a Case Study

Lab: Azure for the Data Engineer

• Identify the evolving world of data
• Determine the Azure Data Platform Services
• Identify tasks to be performed by a Data Engineer
• Finalize the data engineering deliverables

Module 2: Working with Data Storage

 This module teaches the variety of ways to store data in Azure. The Student will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. They will also understand how data lake storage can be created to support a wide variety of big data analytics solutions with minimal effort.

Lessons

• Choose a data storage approach in Azure
• Create an Azure Storage Account
• Explain Azure Data Lake storage
• Upload data into Azure Data Lake

Lab: Working with Data Storage

• Choose a data storage approach in Azure
• Create a Storage Account
• Explain Data Lake Storage
• Upload data into Data Lake Store

Module 3: Enabling Team Based Data Science with Azure Databricks

This module introduces students to Azure Databricks and how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces and learn how to perform data preparation task that can contribute to the data science project.

Lessons

• Explain Azure Databricks
• Work with Azure Databricks
• Read data with Azure Databricks
• Perform transformations with Azure Databricks

Lab: Enabling Team Based Data Science with Azure Databricks

• Explain Azure Databricks
• Work with Azure Databricks
• Read data with Azure Databricks
• Perform transformations with Azure Databricks

Module 4: Building Globally Distributed Databases with Cosmos DB

In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provision the service, and how they can load and interrogate data in the service using Visual Studio Code extensions, and the Azure Cosmos DB .NET Core SDK. They will also learn how to configure the availability options so that users are able to access the data from anywhere in the world.

Lessons

• Create an Azure Cosmos DB database built to scale
• Insert and query data in your Azure Cosmos DB database
• Build a .NET Core app for Cosmos DB in Visual Studio Code
• Distribute your data globally with Azure Cosmos DB

Lab: Building Globally Distributed Databases with Cosmos DB

• Create an Azure Cosmos DB
• Insert and query data in Azure Cosmos DB
• Build a .Net Core App for Azure Cosmos DB using VS Code
• Distribute data globally with Azure Cosmos DB

Module 5: Working with Relational Data Stores in the Cloud

In this module, students will explore the Azure relational data platform options including SQL Database and SQL Data Warehouse. The student will be able explain why they would choose one service over another, and how to provision, connect and manage each of the services.

Lessons

• Use Azure SQL Database
• Describe Azure SQL Data Warehouse
• Creating and Querying an Azure SQL Data Warehouse
• Use PolyBase to Load Data into Azure SQL Data Warehouse

Lab: Working with Relational Data Stores in the Cloud

• Use Azure SQL Database
• Describe Azure SQL Data Warehouse
• Creating and Querying an Azure SQL Data Warehouse
• Use PolyBase to Load Data into Azure SQL Data Warehouse

Module 6: Performing Real-Time Analytics with Stream Analytics

In this module, students will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. The students will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, you will learn how to manage and monitor running jobs.

Lessons

• Explain data streams and event processing
• Data Ingestion with Event Hubs
• Processing Data with Stream Analytics Jobs

Lab: Performing Real-Time Analytics with Stream Analytics

• Explain data streams and event processing
• Data Ingestion with Event Hubs
• Processing Data with Stream Analytics Jobs

Module 7: Orchestrating Data Movement with Azure Data Factory

In this module, students will learn how Azure Data factory can be used to orchestrate the data movement and transformation from a wide range of data platform technologies. They will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests and transforms data.

Lessons

• Explain how Azure Data Factory works
• Azure Data Factory Components
• Azure Data Factory and Databricks

Lab: Orchestrating Data Movement with Azure Data Factory

• Explain how Data Factory Works
• Azure Data Factory Components
• Azure Data Factory and Databricks

Module 8: Securing Azure Data Platforms

In this module, students will learn how Azure provides a multi-layered security model to protect your data. The students will explore how security can range from setting up secure networks and access keys, to defining permission through to monitoring across a range of data stores.

Lessons

• An introduction to security
• Key security components
• Securing Storage Accounts and Data Lake Storage
• Securing Data Stores
• Securing Streaming Data

Lab: Securing Azure Data Platforms

• An introduction to security
• Key security components
• Securing Storage Accounts and Data Lake Storage
• Securing Data Stores
• Securing Streaming Data

Module 9: Monitoring and Troubleshooting Data Storage and Processing

In this module, the student will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. They will explore the common data storage and data processing issues. Finally, disaster recovery options are revealed to ensure business continuity.

Lessons

• Explain the monitoring capabilities that are available
• Troubleshoot common data storage issues
• Troubleshoot common data processing issues
• Manage disaster recovery

Lab: Monitoring and Troubleshooting Data Storage and Processing

• Explain the monitoring capabilities that are available
• Troubleshoot common data storage issues
• Troubleshoot common data processing issues
• Manage disaster recovery

Designing for Azure Data Solution (M-DP201) Course Outline

Module 1: Architecture of The Data Platform

• Basic Principles of Architectural Development
• Design with a View to Safety
• Performance and Scalability
• Design for Availability and Recoverability
• Design for Efficiency and Operation
• Case Study

Module 2: Azure Batch Processing Reference Architectures

• Lambda Architectures from The Perspective of Batch Mode
• Design of an Enterprise BI Solution in Azure
• Automation of Enterprise BI Solutions in Azure
• Development of an Enterprise-level Conversation Bot in Azure

Module 3: Azur Real-Time Reference Architectures in Real-Time

• Lambda Architectures for a Real-Time Perspective
• Designing a Stream Processing Pipeline with Azure Databricks
• Create an Azure IoT Reference Architecture

Module 4: Security Design of the Data Platform

• Security Approach to Defence Strategy
• Protection at the Network Level
• Identity Protection
• Use of Encryption
• Advanced Threat Protection

Module 5: Design for Flexibility and Scalability

• Design of Backup and Recovery Strategies
• Optimisation of Network Performance
• Design for Optimised Storage and Database Performance
• Integration of Disaster Recovery in Architectures
• Design of Backup and Recovery Strategies

Module 6: Design for Efficiency and Operation

• Maximise the Efficiency of your Cloud Environment
• Monitoring and Analytics to gain Operational Insights.
• Automation to Reduce Effort and Errors

Designing and implementing a Microsoft Azure AI Solution AI102 Course Outline

Within this Microsoft training you will learn the following modules:

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

Lessons

• Introduction to Artificial Intelligence
• Artificial Intelligence in Azure

After completing this module, students will be able to:

• Describe considerations for creating AI-enabled applications
• Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.

Lessons

• Getting Started with Cognitive Services
• Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container

After completing this module, students will be able to:

• Provision and consume cognitive services in Azure
• Manage cognitive services security
• Monitor cognitive services
• Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.

Lessons

• Analyzing Text
• Translating Text

Lab: Translate Text

Lab: Analyze Text

After completing this module, students will be able to:

• Use the Text Analytics cognitive service to analyze text
• Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.

Lessons

• Speech Recognition and Synthesis
• Speech Translation

Lab: Recognize and Synthesize Speech
Lab: Translate Speech

After completing this module, students will be able to:

• Use the Speech cognitive service to recognize and synthesize speech
• Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.

Lessons

• Creating a Language Understanding App
• Publishing and Using a Language Understanding App
• Using Language Understanding with Speech

Lab: Create a Language Understanding Client Application
Lab: Create a Language Understanding App
Lab: Use the Speech and Language Understanding Services

After completing this module, students will be able to:

• Create a Language Understanding app
• Create a client application for Language Understanding
• Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.

Lessons

• Creating a QnA Knowledge Base
• Publishing and Using a QnA Knowledge Base

Lab: Create a QnA Solution

After completing this module, students will be able to:

• Use QnA Maker to create a knowledge base
• Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.

Lessons

• Bot Basics
• Implementing a Conversational Bot

Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

• Use the Bot Framework SDK to create a bot
• Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.

Lessons

• Analyzing Images
• Analyzing Videos

Lab: Analyze Video
Lab: Analyze Images with Computer Vision

After completing this module, students will be able to:

• Use the Computer Vision service to analyze images
• Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.

Lessons

• Image Classification
• Object Detection

Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

• Use the Custom Vision service to implement image classification
• Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.

Lessons

• Detecting Faces with the Computer Vision Service
• Using the Face Service

Lab: Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

• Detect faces with the Computer Vision service
• Detect, analyze, and recognize faces with the Face service

Module 11: Reading Text in Images and Documents

Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.

Lessons

• Reading text with the Computer Vision Service
• Extracting Information from Forms with the Form Recognizer service

Lab: Read Text in Images
Lab: Extract Data from Forms

After completing this module, students will be able to:

• Use the Computer Vision service to read text in images and documents
• Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.

Lessons

• Implementing an Intelligent Search Solution
• Developing Custom Skills for an Enrichment Pipeline
• Creating a Knowledge Store

Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create an Azure Cognitive Search solution
Lab: Create a Knowledge Store with Azure Cognitive Search

After completing this module, students will be able to:

• Create an intelligent search solution with Azure Cognitive Search
• Implement a custom skill in an Azure Cognitive Search enrichment pipeline
• Use Azure Cognitive Search to create a knowledge store

Migrate NoSQL Workloads to Azure Cosmos DB (MDP060)​ Course Outline

Module 1: Building Globally Distributed Applications with Cosmos DB
Lessons

• Cosmos DB Overview
• Cosmos DB APIs
• Provisioning Throughput
• Partitioning/Sharding Best Practices

Lab: Practice Labs

• Create Cosmos DB Account
• Configure RUs

Module 2: Migrate MongoDB Workloads to Cosmos DB
Lessons

• Understand Migration Benefits
• Migration Planning
• Data Migration
• Application Migration
• Post-Migration considerations

Lab: Practice Labs

• Create a Migration Project

• Define Source and Target
• Perform Migration
• Verify Migration

Module 3: Migrate Cassandra DB Workloads to Cosmos DB

Lessons

• Understand Migration Benefits
• Migration Planning
• Data Migration
• Application Migration
• Post-Migration Considerations

Lab: Practice Labs

• Export the Schema
• Move Data Using CQLSH COPY
• Move Data Using Spark
• Verify Migration

Migrate Open Source Data Workloads to Azure (DP070)​ Course Outline

Module 1 - Migrate to Azure SQL DB for MySQL and PostgreSQL

This module will explain about benefits and architecture of Azure SQL DB.

Lessons

• OSS Databases Overview
• Common OSS Database Workloads
• Customer Challenges in Migration

Lab: Creating Source OSS Databases

• Installation of Postgres Migration DB Server
• Installation of MySQL Migration DB Server
• Backups/Data Dumps from Postgres/MySQL
• Restore from Data Dumps

Module 2 - Migrate On-Premises MySQL to Azure SQL DB for MySQL

In this module, delegates will learn about the benefits and process of migrating MySQL workloads to Azure SQL DB.

Lessons

• Configure and Manage Azure SQL DB for MySQL
• Migrate On-Premises MySQL to SQL DB for MySQL
• Application Migration
• Post-Migration Considerations

Lab: Migrating MySQL DB Workloads to Azure SQL DB

• Migrating MySQL DB Workloads to Azure SQL DB
• Define Source and Target DBs 
• Perform Migration
• Verify Migration

Module 3 - Migrate On-Premises PostgreSQL to Azure SQL DB for PostgreSQL

In this module, delegates will get an understanding of the benefits and process of migrating PostgreSQL DB workloads to Azure SQL DB

Lessons

• Configure and Manage Azure SQL DB for PostgreSQL
• Migrate On-Premises MySQL to SQL DB for PostgreSQL
• Application Migration
• Post-Migration Considerations

Lab: Migrating PostgreSQL DB Workloads to Azure SQL DB

• Configure Azure SQL DB for PostgreSQL
• Define Source and Target DBs
• Perform Migration
• Verify Migration

Developing Microsoft Azure and Web Services (M20487) Course Outline

This is a 5-day course, with a total of 14 modules. Upon completing the course, delegates may progress onto the Developing Microsoft Azure and Web Services exam.

Module 1: Overview of service and cloud technologies

• Key Components of Distributed Applications
• Data and Data Access Technologies
• Service Technologies
• Cloud Computing
• Exploring the Blue Yonder Airlines’ Travel Companion Application
• Lab: Exploring the work environment

Module 2: Querying and Manipulating Data Using Entity Framework

• ADO.NET Overview
• Creating an Entity Data Model
• Querying Data
• Manipulating Data
• Lab: Creating a Data Access Layer by Using Entity Framework

Module 3: Creating and Consuming ASP.NET Web API Services

• HTTP Services
• Creating an ASP.NET Web API Service
• Handling HTTP Requests and Responses
• Hosting and Consuming ASP.NET Web API Services
• Lab: Creating the Travel Reservation ASP.NET Web API Service

Module 4: Extending and Securing ASP.NET Web API Services

• The ASP.NET Web API Pipeline
• Creating OData Services
• Implementing Security in ASP.NET Web API Services
• Injecting Dependencies into Controllers
• Lab: Extending Travel Companion’s ASP.NET Web API Services

Module 5: Creating WCF Services

• Advantages of Creating Services with WCF
• Creating and Implementing a Contract
• Configuring and Hosting WCF Services
• Consuming WCF Services
• Lab: Creating and Consuming the WCF Booking Service

Module 6: Hosting Services

• Hosting Services On-Premises
• Hosting Services in Windows Azure
• Lab: Hosting Services

Module 7: Windows Azure Service Bus

• Windows Azure Service Bus Relays
• Windows Azure Service Bus Queues
• Windows Azure Service Bus Topics
• Lab: Windows Azure Service Bus

Module 8: Deploying Services

• Web Deployment with Visual Studio 2012
• Creating and Deploying Web Application Packages
• Command-Line Tools for Web Deploy
• Deploying Web and Service Applications to Windows Azure
• Continuous Delivery with TFS and Git
• Best Practices for Production Deployment
• Lab: Deploying Services
• Lab: Scalability

Module 9: Windows Azure Storage

• Introduction to Windows Azure Storage
• Windows Azure Blob Storage
• Windows Azure Table Storage
• Windows Azure Queue Storage
• Restricting Access to Windows Azure Storage
• Lab: Windows Azure Storage

Module 10: Monitoring and Diagnostics

• Performing Diagnostics by Using Tracing
• Configuring Service Diagnostics
• Monitoring Services Using Windows Azure Diagnostics
• Collecting Windows Azure Metrics
• Lab: Monitoring and Diagnostics

Module 11: Identity Management and Access Control

• Claims-based Identity Concepts
• Using the Windows Azure Access Control Service
• Configuring Services to Use Federated Identities
• Lab: Identity Management and Access Control

Module 12: Scaling Services

• Introduction to Scalability
• Load Balancing
• Scaling On-Premises Services with Distributed Cache
• Windows Azure Caching
• Scaling Globally
• Lab: Scalability

Module 13: Appendix A: Designing and Extending WCF Services

• Applying Design Principles to Service Contracts
• Handling Distributed Transactions
• Extending the WCF Pipeline
• Lab: Designing and Extending WCF Services

Module 14: Appendix B: Implementing Security in WCF Services

• Introduction to Web Services Security
• Transport Security
• Message Security
• Configuring Service Authentication and Authorization
• Lab: Securing a WCF Service

The 70-487 exam is to be taken after completing the 5 days Developing Microsoft Azure and Web Services course (M20487). 

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Course Outline | Azure Training |

This course includes the following modules:

Module 1: Overview of Azure Stack Hub

In this module, you will learn how Azure Stack Hub is an extension of Azure that provides a way to run apps in an on-premises environment and deliver Azure services in your datacenter.

Lessons

• Azure Stack Hub
• Datacenter integration
• Azure Stack Hub PowerShell
• Module review questions

After completing this module, students will be able to:

• Describe edge and disconnected solutions
• Describe Azure Stack Hub integrated systems architecture
• Explain Azure Stack Hub deployment options
• Define differences between Azure Stack Hub, Azure Stack HCI, and global Azure

Module 2: Provide Services

In this module, you will learn how to populate Azure Stack Hub Marketplace in a disconnected environment, deploy an App Services resource provider, deploy Event Hubs resource provides, create and manage quotas, plans, offers, and subscriptions, and manage usage and billing.

Lessons

• Manage Azure Stack Hub Marketplace
• Offer an App Services resource provider
• Offer an Event Hubs resource provider
• Offer services
• Manage usage and billing
• Module review questions
  • Lab : Manage offers and plans in Azure Stack Hub
  • Lab : Add custom Marketplace Items by using the Azure Gallery Packager
  • Lab : Validate Azure Resource Manager (ARM) Templates with Azure Stack Hub
  • Lab : Optional Lab : Implement SQL Server Resource Provider in Azure Stack Hub

After completing this module, students will be able to:

• Create a custom Azure Stack Hub Marketplace item
• Deploy and update an App Services resource provider
• Plan an Event Hubs resource provider deployment
• Create and manage user subscriptions
• Manage usage and billing in multi-tenant and CSP scenarios

Module 3: Implement Data Center Integration

In this module, you will learn how prepare an Stack Hub deployment, recommend and validate certificates, and register in a connected and disconnected environment.

Lessons

• Prepare for Azure Stack Hub deployment
• Manage Azure Stack Hub registration
• Module review questions

After completing this module, students will be able to:

• View and retrieve usage data by using the Usage API
• Recommend a name resolution strategy
• Validate identity provider integration
• Validate certificates
• Recommend a registration mode

Module 4: Manage Identity and Access for Azure Stack Hub

In this module, you will learn how to configure the Azure Stack Hub home directory, register the guest tenant directory with Azure Stack Hub, and identify an appropriate method for access (service principal, users, groups).

Lessons

• Manage multi-tenancy
• Manage access
• Module review questions
  • Lab : Delegate Offer Management in Azure Stack Hub
  • Lab : Manage Service Principals in Azure Stack Hub

After completing this module, students will be able to:

• Register the guest tenant directory with Azure Stack Hub
• Update the guest tenant directory
• Configure access in Azure Stack Hub
• Create a custom role

Module 5: Manage the Azure Stack Hub Infrastructure

In this module, you will learn how monitor system health by using the REST API, monitor system health by using Syslog Server, collect diagnostic logs on demand by using Powershell, configure a storage target for infrastructure backup, and download and import update packages manually.

Lessons

• Manage system health
• Azure Monitor on Azure Stack Hub
• Plan and configure business continuity and disaster recovery
• Manage capacity
• Update infrastructure
• Manage Azure Stack Hub by using privileged endpoints
• Module review questions
  • Lab : Connect to Azure Stack Hub via PowerShell
  • Lab : Access the Privileged Endpoint in Azure Stack Hub
  • Lab : Manage Log Collection in Azure Stack Hub
  • Lab : Configure and manage Azure Stack Hub Storage Accounts
  • Lab : Manage Public IP Addresses in Azure Stack Hub
  • Lab : Configure Azure Stack Hub Infrastructure Backup

After completing this module, students will be able to:

• Include resource providers such as Event Hubs
• Manage field replacement or repair
• Configure storage targets for infrastructure backups
• Update Azure Stack Hub
• Unlock a support session
• Connect to a privileged endpoin
• Perform system diagnostics by using Test-AzureStack

Migrating Windows Server Workloads to Azure​ Course Outline

Module 1: Planning and Assessing Azure Migration

Delegates will acquire knowledge of the key business and technical drivers leading to cloud migration and the phases of an Azure migration.

Lessons

• Cloud Migration- Business Motivations, Goals, and Outcomes
• Discovery and Assessment
• Practice Labs

Module 2: Implementing a Migration (Azure Site Recovery)
In this module, delegates will learn how to prepare the on-premises infrastructure and Azure components ahead of the planned migration.

Lessons

• Overview of Azure Site Recovery
• ASR Migration – End to End
• Securing Migrated Workloads – Microsoft Recommendations
• Datacenter Migration using Migration Factory
• Practice labs

Module 3: Introduction to Data Migration
In this module, delegates will learn how to migrate an on-premises SQL Server 2008R2 database to Azure SQL Database Managed Instance, using the Azure Database Migration Service.

Lessons

• Azure Data Box
• Database Migration
• Practice Labs

Module 4: Backup and Disaster Recovery in Azure

Delegates will gain an understanding of the key to a business continuity strategy and what is required for a highly available solution. They will also learn how to implement Azure IaaS virtual machine back up using the Azure Backup service.

Lessons

• Azure Backup Overview
• Implementing Azure IaaS Backup
• Azure to Azure Site Recovery
• Application Disaster Recovery

Microsoft Azure Infrastructure & Deployment (M-AZ100) Course Outline

• Managing Azure Subscriptions and Resources (AZ-100T01)
  • Module 1: Managing Azure Subscriptions
  • Module 2: Access Management for Cloud Resources
  • Module 4: Log Analytics
  • Module 5: Azure Resource Manager
  • Module 6: Azure Tips, Tricks, and Tools
• Implementing and Managing Storage (AZ-100T02)
  • Module 1: Overview of Azure Storage
  • Module 2: Storage Services
  • Module 3: Securing and Managing Storage
  • Module 4: Storing and Accessing Data
  • Module 5: Monitoring Storage
• Deploying and Managing Virtual Machines (AZ-100T03)
  • Module 1: Overview of Azure Machines
  • Module 2: Creating Virtual Machines
  • Module 3: Deploying Virtual Machine Images
  • Module 4: Configuring Virtual Machines
  • Module 5: Configuring Availability and Extensibility
  • Module 6: Managing and Monitoring Virtual Machines
• Configuring and Managing Virtual Networks ( AZ-100T04)
  • Module 1: Azure Virtual Networks
  • Module 2: Azure DNS
  • Module 3: Securing Virtual Network Resources
  • Module 4: Connecting Virtual Networks
• Manage Identities (AZ-100T05)
  • Module 1: Managing Azure Active Directory
  • Module 2: Managing Azure Active Directory Objects
  • Module 3: Implementing and Managing Hybrid Identities

MOC Workshop: Architecting Microsoft Azure Solutions Outline

This course will cover the following content:

Module 1: Design Principles for Cloud Infrastructure and Development

• General patterns for cloud applications
• Design techniques for performance
• Design techniques for resiliency
• Design techniques for scalability

Module 2: Designing App Service Web Apps

• Azure Web Apps features and capacity
• Azure SQL Database features and capacity
• ARM features and capacity
• Design approaches to business continuity

Module 3: Designing Application Storage & Data Access

• Azure Storage features and capacity
• Mobile Services features and capacity
• Alternative Azure storage options
• Relevant design approaches

Module 4: Securing Resources

• Different approaches to designing secure solutions

Module 5: Design Microsoft Azure Infrastructure & Networking

• Azure networking and infrastructure fundamentals
• Azure design approaches for distributed applications

Module 6: Designing an Advanced Application

• Advanced Azure platform capacities
• Managing running compute-intensive applications
• Long-running jobs
• Additional advanced features

Module 7: Designing a Management and Monitoring Strategy

• Configuring approaches
• Monitoring approaches
• Continual updates to Azure applications

Module 8: Designing a Business Continuity Strategy

• Analyse designing backup approaches
• Recovery solutions

Microsoft Azure Integration & Security (M-AZ101) Course Outline

• Migrate Servers to Azure (AZ-101T01)​
  • Module 1: Managing Azure Active Directory
  • Module 2: Azure Site Recovery
  • Module 3: Additional Migration Scenarios
• Implement and Manage Application Services (AZ-101T02)
  • Module 1: Introducing the Azure App Service Platform
  • Module 2: Managing and Securing Web Apps
  • Module 3: Scaling and Performance
  • Module 4: Deploying Serverless Computing Solutions
• Implement Advanced Virtual Networking (AZ-101T03)
  • Module 1: Distributing Network Traffic
  • Module 2: Site Connectivity
  • Module 3: Monitoring and Troubleshooting Network Connectivity
• Secure Identities (AZ-101T04)
  • Module 1: Introduction to Identity Protection in Azure
  • Module 2: Using Multi-Factor Authentication for Secure Access
  • Module 3: Azure AD Privileged Identity Management

Microsoft Azure Developer - Developing Core Cloud Solutions (M-AZ200) Course Outline

• Select the appropriate Azure technology development solution (AZ-200T01)
  • Module 1: Select an appropriate compute solution
  • Module 2: Design for hybrid technologies
  • Module 3: Select an appropriate storage solution
• Develop for Azure storage (AZ-200T02)
  • Module 1: Develop solutions that use Azure Storage tables
  • Module 2: Develop solutions that use Azure Cosmos DB storage Azure Cosmos DB
  • Module 3: Develop solutions that use file storage
  • Module 4: Develop solutions that use a relational database
  • Module 5: Develop solutions that use Microsoft Azure Blob storage
• Develop Azure Platform as a Service solutions (AZ-200T03)
  • Module 1: Creating App Service Web Apps
  • Module 2: Creating mobile apps
  • Module 3: Creating an app service Logic App
  • Module 4: Creating an app or service that runs on Service Fabric
  • Module 5: Creating Azure Functions
  • Module 6: Scheduling bulk operations
  • Module 7: Create solutions that use Azure Kubernetes Service
  • Module 8: Developing apps for Azure Media Services
• Implement security in Azure development solutions (AZ-200T04)
  • Module 1: Implementing authentication
  • Module 2: Implementing access control
  • Module 3: Implementing secure data solutions

Microsoft Azure Developer - Developing Advanced Solutions (M-AZ201) Course Outline

• Develop for an Azure Cloud Model (AZ-201T01)​
  • Module 1: Develop for asynchronous processing
  • Module 2: Develop for autoscaling
  • Module 3: Develop long-running tasks
  • Module 4: Implement distributed transactions
  • Module 5: Enable the search of textual content
  • Module 6: Instrument an app or service and implement logging
• Implement Azure development integration Solutions (AZ-201T02)
  • Module 1: Manage APIs by using API Management
  • Module 2: Configure a message-based integration architecture
  • Module 3: Develop an application message model
• Develop Azure Cognitive Services, Bot, and IoT solutions (AZ-201T03)
  • Module 1: Develop Azure Cognitive Services solutions
  • Module 2: Create and integrate bots
  • Module 3: Create and implement IoT solutions
  • Module 2: Create and integrate bots

Implementing Microsoft Azure Infrastructure Solutions Course Outline | M20533

Module 1: Introduction to Azure

This module introduces cloud solutions in general and then focuses on the services that Azure offers. The module goes on to describe the portals that you can use to manage Azure subscriptions and services before introducing the Azure PowerShell modules and Azure Command Line Interface (CLI) as scripting technologies for managing Azure. Finally, the module provides explanations and guidance for the use of Azure Resource Manager.

Lessons

• Cloud technology overview
• Overview of Azure
• Managing Azure with the Azure portal
• Managing Azure with Windows PowerShell
• Overview of Azure Resource Manager
• Azure management services

Lab: Managing Microsoft Azure

• Use the Azure portals.
• Use Azure Resource Manager features via the Azure portal.
• Use Azure PowerShell.
• After completing this module, students will be able to:
• Identify suitable apps for the cloud.
• Identify services and capabilities that Microsoft Azure provides.
• Use Azure portals to manage Azure services and subscriptions.
• Use Windows PowerShell to manage Azure services and subscriptions.
• Use Azure Resource Manager to manage Azure resources.
• Use Azure Resource Manager to manage Azure resources.

Module 2: Implementing and managing Azure networking

This module explains how virtual networking provides the glue that brings together VMs, web apps, and storage to enable you to publish a service onto the Internet.

Lessons

• Overview of Azure networking
• Implementing and managing Azure virtual networks
• Configuring Azure virtual networks
• Configuring Azure virtual network connectivity
• Overview of Azure classic networking

Lab: Using a deployment template to implement Azure virtual networks

• Creating an Azure virtual network by using a deployment template
• Creating a virtual network by using PowerShell
• Configure virtual networks

Lab: Configuring connectivity between classic and Azure Resource Manager virtual networks

• Using a PowerShell script to connect a classic VNet and an Azure Resource Manager VNet
• Configuring a point-to-site VPN
• Validating virtual network connectivity
• After completing this module, students will be able to:
• Plan virtual networks in Azure.
• Explain how to implement and manage virtual networks.
• Use a deployment template and Azure PowerShell to implement Azure virtual networks.
• Explain how to configure an Azure virtual network.
• Describe Azure classic networking.

Module 3: Implementing virtual machines

This module introduces the fundamentals of Azure Virtual Machines and discusses the different ways in which you can deploy and manage them.

Lessons

• Overview of Azure Resource Manager virtual machines
• Planning for Azure virtual machines
• Deploying Azure Resource Manager virtual machines
• Authoring Azure Resource Manager templates
• Overview of classic virtual machines

Lab: Creating Azure Resource Manager virtual machines in Azure

• Creating virtual machines by using the Azure portal and Azure PowerShell
• Validating virtual machine creation

Lab: Deploying Azure Resource Manager virtual machines by using Azure Resource Manager templates

• Using Visual Studio and an Azure Resource Manager template to deploy virtual machines
• Using Azure PowerShell and an Azure Resource Manager template to deploy virtual machines
• After completing this module, students will be able to:
• Describe main characteristics of Azure Resource Manager virtual machines.
• Plan for Azure Virtual Machines.
• Deploy Azure Resource Manager virtual machines.
• Author Azure Resource Manager templates.
• Explain IaaS v1 virtual machines.

Module 4: Managing virtual machines

This module explains how to manage virtual machines including configuring virtual machines, configuring virtual machine disks, and managing and monitor virtual machines.

Lessons

• Configuring virtual machines
• Configuring virtual machine disks
• Managing and monitoring Azure virtual machines
• Managing classic virtual machines

Lab: Managing Azure virtual machines

• Configuring availability
• Implementing desired state configuration (DSC)
• Implementing storage space–based volumes
• After completing this module, students will be able to:
• Configure virtual machines.
• Configure virtual machine disks.
• Manage and monitor virtual machines

Module 5: Implementing Azure App services

This module explains the different types of apps that you can create by using the Microsoft Azure App Service, and how you can select an App Service plan and deployment method for apps in Microsoft Azure. Students will learn how to use Microsoft Visual Studio, File Transfer Protocol (FTP) clients, and Azure PowerShell to deploy web and mobile apps to Azure. Additionally, they will learn how to configure web apps and use the Azure WebJobs feature to schedule tasks, monitor the performance of web apps, and create and configure mobile apps. Lastly, they will learn how to use Azure Traffic Manager to distribute requests between two or more app services.

Lessons