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Microsoft Azure Training courses

accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AZ-900: Microsoft Azure Fundamentals

Microsoft Azure Fundamentals Course Outline | M-AZ900

This training course will explore the following modules:

Module 1: Cloud Concepts

  • Learning Objectives
  • Why Cloud Services?
  • Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS)
  • Public, Private, and Hybrid cloud models

Module 2: Core Azure Services

  • Core Azure architectural components
  • Core Azure Services and Products
  • Azure Solutions
  • Azure management tools

Module 3: Security, Privacy, Compliance and Trust

  • Securing network connectivity in Azure
  • Core Azure Identity services
  • Security tools and features
  • Azure governance methodologies
  • Monitoring and Reporting in Azure
  • Privacy, Compliance and Data Protection standards in Azure

Module 4: Azure Pricing and Support

  • Azure subscriptions
  • Planning and managing costs
  • Support options available with Azure
  • Service lifecycle in Azure

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Who should attend this Azure Training Course?

This course is aimed at anybody who would like to gain good fundamental knowledge of Microsoft Azure.

Prerequisites

There are no prerequisites to attend. Some general IT knowledge will be beneficial.

Microsoft Azure Fundamentals Course Overview | M-AZ900 

This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. The course can be taken as an optional first step in learning about cloud services and Microsoft Azure, before taking further Microsoft Azure or Microsoft cloud services courses.

The course will cover general cloud computing concepts as well as general cloud computing models and services such as Public, Private and Hybrid cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service(PaaS) and Software-as-a-Service (SaaS).

It will also cover some core Azure services and solutions, as well as key Azure pillar services concerning security, privacy, compliance and trust. It will finally cover pricing and support services available with Azure.

This course helps prepare students for Exam AZ-900. Passing this exam is required to earn the Microsoft Certified Azure Fundamentals certification.

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Microsoft Azure Fundamentals Exam Information | M-AZ900 

The Microsoft Certified Azure Fundamentals exam measures your ability to understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It measures the following areas:

  • Cloud Concepts (15-20%)
  • Core Azure Services (30-35%)
  • Security, Privacy, Compliance, and Trust (25-30%)
  • Azure Pricing and Support (25-30%)

Please note the exam is not included in the cost of this course.

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Microsoft Azure Fundamentals Exam Information | M-AZ900

The Microsoft Certified Azure Fundamentals exam measures your ability to understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It measures the following areas:

  • Cloud Concepts (15-20%)
  • Core Azure Services (30-35%)
  • Security, Privacy, Compliance, and Trust (25-30%)
  • Azure Pricing and Support (25-30%)

Please note the exam is not included in the cost of this course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

AZ-103: Microsoft Azure Administrator

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

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Who should attend this Azure Training Course?

This course is for IT Professionals.

Prerequisites

There are no prerequisites for this course.

 

Microsoft Azure Administration Course Overview | M-AZ103

In this course, delegates will gain knowledge of how to manage their Azure subscriptions, create and scale virtual machines. They will gain an understanding of how to implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution.

In this 5-Day course, delegates will learn about basic storage features, including storage accounts, blob storage, Azure files, and storage security. They will also learn about data replication strategies, backing up files and folders, and virtual machine backups. This course explains multi-factor authentication, self-service password reset, Azure AD identity protection, Azure Active Directory (AD), and Azure AD Join.

This course will prepare IT professionals for the Microsoft Azure Administrator Associate Certification by passing exam AZ-103.

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Microsoft Azure Administrator Exam AZ-103 Information

The Microsoft Azure Administrator Associate Certification exam AZ-103 covers these skill areas:

  • Manage Azure subscriptions and resources (15-20%)
  • Implement and manage storage (15-20%)
  • Deploy and manage virtual machines (VMs) (15-20%)
  • Configure and manage virtual networks (30-35%)
  • Manage identities (15-20%)

Please note that the exam is not included in the cost of this Azure Training Course

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Microsoft Azure Administrator Exam AZ-103 Information

The Microsoft Azure Administrator Associate Certification exam AZ-103 covers these skill areas:

  • Manage Azure subscriptions and resources (15-20%)
  • Implement and manage storage (15-20%)
  • Deploy and manage virtual machines (VMs) (15-20%)
  • Configure and manage virtual networks (30-35%)
  • Manage identities (15-20%)

Please note that the exam is not included in the cost of this Azure Training Course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

Developing Solutions for Microsoft Azure Course Outline | M-AZ204

The course covers the following topics:

Module 1: Implement solutions that use virtual machines

  • Provision VMs
  • Create ARM templates
  • Configure Azure Disk Encryption for VMs

Module 2: Implement batch jobs by using Azure Batch Services

  • Azure Batch overview
  • Run a batch job by using the Azure CLI and Azure Portal
  • Run batch jobs by using code
  • Manage batch jobs by using the Batch Service API

Module 3: Create containerized solutions

  • Create an Azure Managed Kubernetes Service (AKS) cluster
  • Create container images for solutions
  • Publish an image to the Azure Container Registry
  • Run containers by using Azure Container Instance or AKS

Module 4: Create App Service web apps

  • Azure App Service core concepts
  • Creating an Azure App Service web app
  • Creating background tasks by using WebJobs in Azure App Service

Module 5: Creating Azure App Service mobile apps

  • Getting started with mobile apps in App Service
  • Enable push notifications for your app
  • Enable offline sync for your app

Module 6: Create Azure App Service API apps

  • Creating APIs
  • Using Swagger to document an API

Module 7: Implement Azure Functions

  • Azure Functions overview
  • Develop Azure Functions using Visual Studio
  • Implement durable functions

Module 8: Develop solutions that use Azure Table storage

  • Azure Table storage overview
  • Authorization in Table storage
  • Table service REST API

Module 9: Develop solutions that use Azure Cosmos DB storage

  • Azure Cosmos DB overview
  • Managing containers and items
  • Create and update documents by using code

Module 10: Develop solutions that use a relational database

  • Azure SQL overview
  • Create, read, update, and delete database tables by using cod

Module 11: Develop solutions that use Microsoft Azure Blob storage

  • Azure Blob storage overview
  • Working with Azure Blob storage

Module 12: Introduction to Azure Monitor

  • Overview of Azure Monitor

Module 13: Develop code to support scalability of apps and services

  • Implement autoscale
  • Implement code that addresses singleton application instances
  • Implement code that handles transient faults

Module 14: Instrument solutions to support monitoring and logging

  • Configure instrumentation in an app or server by using Application Insights
  • Analyze and troubleshoot solutions by using Azure Monitor

Module 15: Integrate caching and content delivery within solutions

  • Azure Cache for Redis
  • Develop for storage on CDNs

Module 16: Develop an App Service Logic App

  • Azure Logic Apps overview
  • Create Logic Apps by using Visual Studio
  • Create custom connectors for Logic Apps
  • Create custom templates for Logic Apps

Module 17: Integrate Azure Search within solutions

  • Create and query an Azure Search Index
  • Full text search in Azure Search

Module 18: API Management

  • Introduction to the API Management service
  • Securing your APIs
  • Defining API policies

Module 19: Develop event-based solutions

  • Implement solutions that use Azure Event Grid
  • Implement solutions that use Azure Event Hubs
  • Implement solutions that use Azure Notification Hubs

Module 20: Develop message-based solutions

  • Implement solutions that use Azure Service Bus
  • Implement solutions that use Azure Queue Storage queues

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Who should attend this Azure Training course?

Those who attend should be interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.

Prerequisites

Students should have 1-2 years of experience as a developer. This course assumes students know how to code and have a fundamental knowledge of Azure. It is recommended that students have some experience with PowerShell or Azure CLI, working in the Azure portal, and with at least one Azure-supported programming language. Most of the examples in this course are presented in C# .NET.

Developing Solutions for Microsoft Azure Course Overview | M-AZ204

This 5-day course is designed to prepare students for Microsoft Azure Exam AZ-204. In the course, you will gain the knowledge and skills needed to implement Azure IaaS services and features in your development solutions using the Azure CLI, REST, and application code.

Students will learn how to create and manage their own APIs by using API Management, how Azure Monitor operates and how to use tools like Log Analytics and Application Insights to better understand what is happening in their application.

They will also gain the knowledge and skills needed to leverage Azure storage services and features in their development solutions.

The course has 6 parts:

  • Part 1: AZ-204T01: Develop Azure Infrastructure as a Service
  • Part 2: AZ-204T02: Develop Azure Platform as a Service
  • Part 3: AZ-204T03: Develop for Azure storage
  • Part 4: AZ-204T04: Implement Azure security
  • Part 5: AZ-204T05: Monitor, troubleshoot, and optimise Azure solutions
  • Part 6: AZ-204T06: Connect to and consume Azure, and third-party, services

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What's included in this Azure training course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

 

Please note the exam is not included in the cost of this course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

AZ-400: Microsoft Azure DevOps Solutions

Microsoft Azure DevOps Solutions (M-AZ400) Course Outline

AZ-400T01: Implementing DevOps Development Processes

  • Module 1: Getting Started with Source Control
  • Module 2: Scaling Git for Business DevOps
  • Module 3: Implementation and Management of Build Infrastructures
  • Module 4: Administration of Application Configuration and Secrets
  • Module 5: Implementation of a Mobile DevOps Strategy
  • Lab: Microsoft Azure
  • Lab: Implementing DevOps Development Processes

AZ-400T02: Implementing Continuous Integration

  • Module 1: Implement Continuous Integration into an Azure DevOps Pipeline
  • Module 2: Management of Code Quality and Security Policies
  • Module 3: Implementation of a Container Build Strategy
  • Lab: Implementing Continuous Integration

AZ-400T03: Implementing Continuous Delivery

  • Module 1: Draft of a Release Strategy
  • Module 2: Set up a Release Management Workflow
  • Module 3: Implementation of an Appropriate Deployment Pattern
  • Lab: Implementing Continuous Delivery

AZ-400T04: Implementing Dependency Management

  • Module 1: Drafting a Dependency Management Strategy
  • Module 2: Manage Security and Compliance
  • Lab: Implementing Dependency Management 

AZ-400T05: Implementing Application Infrastructure

  • Module 1: Infrastructure and Configuration Azure Tools
  • Module 2: Azure Delivery Models and Services
  • Module 3: Creation and Administration of the Kubernetes Service Infrastructure
  • Module 4: Third-party and Open Source Tools available with Azure
  • Module 5: Implement Compliance and Security in your Infrastructure
  • Lab: Implementing Application Infrastructure

AZ-400T06: Implementing Continuous Feedback

  • Module 1: Recommendation and Design of System Feedback Mechanisms
  • Module 2: Implementation Process to provide System Feedback to Development Teams
  • Module 3: Optimisation of The Feedback Mechanisms
  • Lab: Implementing Continuous Feedback 

AZ-400T07: Designing a DevOps Strategy

  • Module 1: Planning for DevOps
  • Module 2: Planning for Quality and Safety
  • Module 3: Migration and Consolidation of Artefacts and Tools
  • Lab: Designing a DevOps Strategy 

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Prerequisites

There are no formal pre-requisites for attending this course.

Audience

This course is for DevOps Professionals and IT Professionals, who want to learn about Microsoft Azure DevOps Solutions.

Microsoft Azure DevOps Solutions (M-AZ400) Course Overview

In this course, delegates will gain knowledge of how to design and implement DevOps practices for version control, compliance, infrastructure as code. They will also learn configuration management, build, release, and testing using Azure technologies. Azure DevOps Professionals combine people, processes and technologies to deliver consistently high-quality products and services that meet the needs of users and business objectives.

This 5-Day course measures your ability to accomplish technical tasks: design a DevOps strategy, implement DevOps development processes, implement continuous integration, continuous delivery, dependency management, application infrastructure, and constant feedback.

This course explains how to implement DevOps development process, scale Git for business develops and how to implement and manage build infrastructures. It describes implementing continuous delivery, set up a release management workflow. During this course, delegates will also gain an understanding of how to manage code quality, security policies and compliance.

After completion of this course, delegates will be able to:

  • Implement DevOps Processes, mobile DevOps strategy and scale Git for business DevOps.
  • Manage code quality and security policies and compliance.
  • Implement compliance and security in your infrastructure.
  • Implement Application infrastructure and design DevOps strategy.
  • Integrate another build tooling with Azure DevOps.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

AZ-500: Microsoft Azure Security Technologies

Microsoft Azure Security Technologies (M-AZ500) Course Outline

This course covers the following topics:

Module 1: Identity and Access

  • Configure Azure Active Directory for Azure workloads and subscriptions
  • Configure Azure AD Privileged Identity Management
  • Configure security for an Azure subscription

 

Module 2: Platform Protection

  • Understand cloud security
  • Build a network
  • Secure network
  • Implement host security
  • Implement platform security
  • Implement subscription security

 

Module 3: Security Operations

  • Configure security services
  • Configure security policies by using Azure Security Center
  • Manage security alerts
  • Respond to and remediate security issues
  • Create security baselines

 

Module 4: Data and applications

  • Configure security policies to manage data
  • Configure security for data infrastructure
  • Configure encryption for data at rest
  • Understand application security
  • Implement security for application lifecycle
  • Secure applications
  • Configure and manage Azure Key Vault

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Who should attend?

You should have at least one year of hands-on experience securing Azure workloads and experience with security controls for workloads on Azure.

Prerequisites

Before attending, you should have knowledge to the level of the Microsoft Azure Administrator Associate Certification.

Microsoft Azure Security Technologies (M-AZ500) Course Overview

In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture. It will prepare you for the Microsoft Certified: Azure Security Engineer Associate certification.

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Microsoft Azure Security Technologies (M-AZ500) Exam

The Microsoft Azure Security Technologies exam (AZ-500) follows this structure:

  • Manage identity and access (20-25%)

  • Implement platform protection (35-40%)

  • Manage security operations (15-20%)

  • Secure data and applications (30-35%)

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Microsoft Azure Security Technologies (M-AZ500) Exam

The Microsoft Azure Security Technologies exam (AZ-500) follows this structure:

  • Manage identity and access (20-25%)
  • Implement platform protection (35-40%)
  • Manage security operations (15-20%)
  • Secure data and applications (30-35%)

Please Note: The Exam isn't included within the cost of this training course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

AZ-300: Microsoft Azure Architect Technologies

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

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Who should attend this training course?

Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualisation, cloud infrastructure, storage structures, billing, and networking.

Prerequisites

There are no formal prerequisites for this course.​​

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

This four-day course teaches IT Professionals how to manage their Azure resources, including deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD - including implementing and managing hybrid identities. You will also learn how cloud resources are managed in Azure through user and group accounts, and how to grant access to Azure AD users, groups, and services using Role-based access control (RBAC).

Understand how to discover, assess, plan, and implement a migration of on-premises resources and infrastructure to Azure. Delegates will learn how to use Azure Migrate to perform the discovery and assessment phase that is critical to a successful migration. Delegates will also learn how to use Azure Site Recovery for performing the actual migration of workloads to Azure. The course focuses primarily on using ASR on a Hyper-V infrastructure to prepare and complete the migration process.

Learn how operations are done in parallel and asynchronously. Additionally, how your whole enterprise system must be resilient when failures occur, and just as importantly, how deployments can be automated and predictable. By using the Azure Application Architecture Guide and Azure reference architectures as a basis, you will understand how monitoring and telemetry are critical for gaining insight into the system.

Understand how to build Logic App solutions that integrate apps, data, systems, and services across enterprises or organisations by automating tasks and business processes as workflows. Logic Apps is cloud service in Azure that simplifies how you design and create scalable solutions for app integration, data integration, system integration, enterprise application integration (EAI), and business-to-business (B2B) communication, whether in the cloud, on premises, or both.

Delegates will learn how to implement authentication in applications (certificates, Azure AD, Azure AD Connect, token-based), implement secure data (SSL and TLS), and manage cryptographic keys in Azure Key Vault.

Delegates will also learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

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What's included in this training course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

 

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Microsoft Azure Solutions Architect - Technologies (M-AZ300) Exam information

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam.

  • Deploy and Configure Infrastructure (25-30%)
  • Implement Workloads and Security (20-25%)
  • Architect Cloud Technology Solutions (5-10%)
  • Create and Deploy Apps (5-10%)
  • Implement Authentication and Secure Data (5-10%)
  • Develop for the Cloud (20-25%)

Please note that the exam is not included in the cost of this Azure Training Course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

AZ-301: Microsoft Azure Architect Design

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.

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Who should attend this Microsoft Azure Training Course?

Learners should have practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

Azure Training Prerequisites

There are no formal prerequisites, though Microsoft Certified: Azure Fundamentals certification is recommended.

Microsoft Azure Solutions Architect Design MAZ301 Course Overview

​This 3-day course teaches the following:

  • How to manage security and identity within the context of Azure. Also, you’ll be introduced to multiple SaaS services available in Azure that for integration into existing Azure solutions
  • How to Compare and contrast various database options on Azure, identify data streaming options for large-scale data ingest, and identify longer-term data storage options
  • How to deploy an ARM template to a resource group, author a complex deployment using the Azure Building Blocks tools, and integrate an API or Logic App with the API Management service
  • How 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, and design a hybrid connectivity scenario between cloud and on-premise

This course has been designed to prepare you for the Microsoft Azure Solutions Architect Design Exam: AZ-301

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Microsoft Azure Solutions Architect Design Exam Information.

This course will help you prepare for the AZ-301 Exam. The modules that will be covered in the exam are listed below:

  • Determine workload requirements (10-15%)
  • Design for identity and security (20-25%)
  • Design a data platform solution (15-20%)
  • Design a business continuity strategy (15-20%)
  • Design for deployment, migration, and integration (10-15%)
  • Design an infrastructure strategy (15-20%)

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Microsoft Azure Solutions Architect Design Exam Information.

This course will help you prepare for the AZ-301 Exam. The modules that will be covered in the exam are listed below:

  • Determine workload requirements (10-15%)
  • Design for identity and security (20-25%)
  • Design a data platform solution (15-20%)
  • Design a business continuity strategy (15-20%)
  • Design for deployment, migration, and integration (10-15%)
  • Design an infrastructure strategy (15-20%)

Please note that the exam is not included in the cost of this Azure Training Course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

DP-100: Designing and Implementing a Data Science Solution on Azure

Designing and Implementing a Data Science Solution on Azure (M-DP100) Course Outline

Module 1: Doing Data Science on Azure

  • Introduce the Data Science Process
  • Overview of Azure Data Science Options
  • Introduce Azure Notebooks

Module 2: Doing Data Science with Azure Machine Learning service

  • Introduce Azure Machine Learning (AML) service
  • Register and deploy ML models with AML service

Module 3: Automate Machine Learning with Azure Machine Learning service

  • Automate Machine Learning Model Selection
  • Automate Hyperparameter Tuning with HyperDrive

Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service

  • Manage and Monitor Machine Learning Models

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Who should attend this course?

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

Prerequisites

Before attending, you should understand the fundamentals of Azure as well as have an understanding of the following:

  • Data science including how to prepare data, train models, and evaluate competing models to select the best one.
  • How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn

Designing and Implementing a Data Science Solution on Azure (M-DP100) Course Overview

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, the Azure Machine Learning service, to automate the data science pipeline.

This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

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Designing and Implementing a Data Science Solution on Azure (M-DP100)

The Microsoft Azure Data Scientist Associate certification exam covers the following areas:

  • Define and prepare the development environment (15-20%)
  • Prepare data for modeling (25-30%)
  • Perform feature engineering (15-20%)
  • Develop models (40-45%)

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Designing and Implementing a Data Science Solution on Azure (M-DP100)

The Microsoft Azure Data Scientist Associate certification exam covers the following areas:

  • Define and prepare the development environment (15-20%)
  • Prepare data for modeling (25-30%)
  • Perform feature engineering (15-20%)
  • Develop models (40-45%)

Please note the exam is not included in the cost of this course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

DP-200: Implementing an Azure Data Solution

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

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Prerequisites

There are no formal prerequisites for attending this course.

Audience

Data professionals, data architects, and business intelligence experts who want to learn more about Microsoft Azure's data platform technologies and Develop applications that deliver content from Microsoft Azure's data platform technologies.

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

In this course, delegates will learn how to implement various data platform technologies in solutions that meet business and technical needs, including on-premise, cloud, and hybrid data scenarios, which include both relational and no-SQL data. Delegates will also learn how to process data using a range of technologies and languages ​​for both streaming and batch data.

This course explores how to implement data security, including authentication, authorisation, data policies and standards,  and implement data solution monitoring for both data storage and data processing. Eventually, they will manage and troubleshoot Azure data solutions, including optimising and restoring large volumes of data, batch processing, and streaming data solutions.

This role-based course can be used to prepare for certification as a Microsoft Azure Data Engineer.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

DP-201: Designing an Azure Data Solution

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

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Prerequisites

There are no pre-requisites for this course.

Audience

This course is for IT Professionals, who want to learn about Azure data solution.

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

In this course, delegates will design different data platform technologies for solutions that meet business and technical requirements. This can include local, cloud, and hybrid data scenarios that incorporate relational, no-SQL, or data warehouse data. You will also learn how to design process architectures using a range of streaming and batch data technologies.

It will explore how to design data security, including data access, data policies and standards, and develop Azure data solutions that include optimisation, availability, and disaster recovery of big data, batch processing, and streaming data solutions. In this course, delegates will learn about lambda architecture. They will also learn how to design a stream processing pipeline with azure databricks.

This role-based course prepares you for certification as an Azure Data Engineer.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AI-100: Designing and Implementing an Azure AI Solution

Designing and Implementing an Azure AI Solution Course Outline | AI-100

The course covers the following Modules:

Module 1: Introducing Azure Cognitive Services

In this module, you will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.

Lessons

  • Overview of Azure Cognitive Services
  • Creating a Cognitive Service on the Azure Portal
  • Access and Test a Cognitive Service

Module 2: Creating Bots

In this module will learn about the Microsoft Bot Framework and Bot Services.

Lessons

  • Introducing the Bot Service
  • Creating a Basic Chat Bot
  • Testing with the Bot Emulator

Module 3: Enhancing Bots with QnA Maker

In this module you will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.

Lessons

  • Introducing QnA Maker
  • Implement a Knowledge Base with QnA Maker
  • Integrate QnA with a Bot

Module 4: Learn How to Create Language Understanding Functionality with LUIS

In this module you will learn about Language Understanding with Intents and Utterances (LUIS) and how to create intents and utterances to support a natural language processing solution.

Lessons

  • Introducing Language Understanding
  • Create a new LUIS Service
  • Build LUIS

Module 5: Enhancing Your Bots with LUIS

In this module will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.

Lessons

  • Overview of language understanding for AI applications
  • Integrate LUIS and Bot to create an AI-based solution

Module 6: Integrate Cognitive Services with Bots and Agents

In this module will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.

Lessons

  • Understand Cognitive Services for Bot Interactions
  • Perform Sentiment Analysis for your Bot with Text Analytics
  • Detect Language in a Bot with the Language Cognitive Services
  • Integrate Computer Vision with Bots

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Who should attend this Artificial Intelligence Course?

This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.

Prerequisites

You should have knowledge of the fundamentals of Azure and understanding of C#.

Designing and Implementing an Azure AI Solution Course Overview | AI-100

This official Microsoft Azure AI training course provides an introduction to Azure Cognitive Services. During the course, you will build a customer support chat Bot that uses artificial intelligence from the Microsoft Azure platform and learn how to enhance your Bot with QnA Maker and LUIS (Language Understanding Intelligent Service). Finally, the course will examine integrating Bots and Agents with Azure Cognitive Services for more advanced features.

The course also prepares you for Microsoft exam AI-100. Pass this exam and achieve Microsoft Certified: Azure AI Engineer Associate certification.

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What's included in this Artificial Intelligence Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Designing and Implementing an Azure AI Solution Exam AI-100 Information

The AI-100 exam covers these skill areas:

  • Analyse solution requirements (25-30%)
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)
  • Analyse solution requirements (25-30%)
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)

Please note the exam is not included in the cost of this Microsoft AI training course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

AZ-120: Planning and Administering Microsoft Azure for SAP Workloads

Planning and Administering Microsoft Azure for SAP Workloads Course Outline | MAZ120

Module 1: Introduction

  • Overview of the SAP and Microsoft partnership.

Module 2: Foundations of SAP on Azure

  •  Azure compute Azure storage, Azure networking, SAP HANA for Azure (Large Instances), identity services, governance and manageability, backup and data protection services, and migration services.

Module 3: SAP Certified Offerings on Azure

  • General prerequisites (SAP support in public cloud environments), deployment options of Azure for SAP workloads, SAP product-specific support for Azure, operating System support of Azure for SAP workloads, storage support of Azure for SAP workloads, networking support for SAP, database support for SAP, high availability and disaster recovery support for SAP, and monitoring requirements for SAP.
    • Lab: Online Lab: Implementing Linux clustering on Azure VMs
    • Lab: Online Lab: Implementing Windows clustering on Azure VMs

Module 4: SAP on Azure Reference Architecture

  • SAP NetWeaver with AnyDB, SAP S4 HANA, and SAP HANA on Azure (Large Instances) on Azure VMs.

Module 4: SAP on Azure Reference Architecture

  • SAP NetWeaver with AnyDB, SAP S4 HANA, and SAP HANA on Azure (Large Instances) on Azure VMs.

Module 5: Planning for Implementing SAP Solutions on Azure

  • Azure VM compute, network, and storage considerations. As well as Azure VM high availability and disaster recovery, Azure VM backup considerations, Azure VM monitoring considerations, Azure VM security considerations, and Azure VM authentication and access control considerations.

Module 6: Planning for Migrating SAP Workloads to Azure

  • Strategies for migrating SAP systems to Microsoft Azure and SAP a workload planning and deployment checklist.

Module 7: Implementing Azure VM-based SAP Solutions

  • Azure VM deployment methodologies, single-instance implementations (2-tier or 3-tier), implementing HA SAP NetWeaver with AnyDB on Azure VMs, implementing HA SAP HANA on Azure VMs, configure the Azure Enhanced Monitoring Extension for SAP, and implementing AD and Azure AD-based authentication.

Module 8: Module 8-Deploying HANA Large Instances (HLI)

  • Implementing HANA Large Instances (HLI).

Module 9: Migrating SAP Workloads to Azure

  • Migration options, DMO methodologies, cloud migration options, and Very Large Database Migration to Azure.
    • Lab: Online Lab-Implement SAP architecture on Azure VMs running Linux
    • Lab: Online Lab-Implement SAP architecture on Azure VMs running Windows

Module 10: Maintaining SAP on Azure

  • Remote management, performing backups and restores, OS and workload updates, vertical and horizontal scaling, and Disaster Recovery (DR).

Module 11: Monitoring and Troubleshooting SAP on Azure

  • Monitoring Azure VMs, monitoring SAP HANA on Azure (Large Instances), and integrating SAP solutions with Microsoft cloud services.

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Who should attend this Azure Training Course?

This course is for Azure Administrators who migrate and manage SAP solutions on Azure. Azure Administrators manage the cloud services that span storage, networking and compute cloud capabilities, with a deep understanding of each service across the full IT lifecycle. They take end-user requests for new cloud applications and make recommendations on services to use for optimal performance and scale, as well as provision, size, monitor and adjust as appropriate. This role requires communicating and coordinating with vendors. Azure Administrators use the Azure Portal and as they become more proficient they use PowerShell and the Command Line Interface.

AZ-120 Prerequisites

  • Administrators and architects of Azure solutions for SAP should possess solid knowledge of SAP Applications, SAP HANA, S/4HANA, SAP NetWeaver, SAP BW, OS Servers for SAP Applications and Databases.
  • Prior to taking this course, it is recommended that students to have taken the Azure Administrator (AZ-103) or Azure Solutions Architect (AZ-300) training, as well as SAP HANA and Linux training.

Planning and Administering Microsoft Azure for SAP Workloads Course Overview | MAZ120

This course teaches IT Professionals experienced in SAP solutions how to leverage Azure resources that include deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities. Students of this course will learn through concepts, scenarios, procedures, and hands-on labs on how to best plan and implement migration and operation of an SAP solution on Azure. You will receive guidance on subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities,

After completing this course, students will be able to:

  • Migrate and SAP HANA, S/4HANA, SAP NetWeaver to Azure
  • Leverage Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Resource Manager
  • Use intersite connectivity features including VNet Peering and VNet-to-VNet connections
  • Work with Azure Active Directory (AAD) and Azure AD Connect

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What's included in this Azure Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

AZ-120 Exam Information:

  • Migrate SAP Workloads to Azure (10-15%)
  • Design an Azure Solution to Support SAP Workloads (20-25%)
  • Build and Deploy Azure SAP Workloads (35-40%)
  • Validate Azure Infrastructure for SAP Workloads (10-15%)
  • Operationalize Azure SAP Architecture (10-15%)

Please Note: The Exam isn't included within the cost of this 4-day training course.

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AZ-120 Exam Information:

  • Migrate SAP Workloads to Azure (10-15%)
  • Design an Azure Solution to Support SAP Workloads (20-25%)
  • Build and Deploy Azure SAP Workloads (35-40%)
  • Validate Azure Infrastructure for SAP Workloads (10-15%)
  • Operationalize Azure SAP Architecture (10-15%)

Please Note: The Exam isn't included within the cost of this 4-day training course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Azure Administration for AWS SysOps Course Outline | AZ010

Module 1: Azure Administration

In this module, you’ll learn about the tools and principle concepts needed to administer Azure. Topics include Resource Manager, Resource Groups, Azure Portal, Azure CLI, Azure Templates, Cloud Shell, Azure Marketplace, and Azure PowerShell.

Module 2: Azure Networking

In this module, you’ll learn about Azure networking features. Topics include Azure Regions, Virtual Networks and Subnets, IP Addressing, Network Security Groups, Virtual Network Peering, VNet-to-VNet Connections, ExpressRoute, Load Balancers, and Network Watcher.

Module 3: Azure Compute

In this module, you’ll learn about configuring and monitoring Azure virtual machines. Topics include: Azure Virtual Machines, Creating Virtual Machines, Virtual Machine Sizes, Virtual Machine Disks, Availability Zones, Availability Sets, Windows VM Connections, Linux VM Connections, Azure Monitor, and Azure Alerts.

Module 4: Azure Storage

In this module, you’ll learn about Azure storage features and implementation. Topics include: Storage Accounts, Blob Storage, Blob Performance Tiers, File Shares, File Sync, Data Box, Content Delivery Network, Shared Access Signatures, and Service Endpoints.Module 5: Azure IdentityIn this module, you’ll learn about Azure identity solutions. Topics include: Azure Domains, Role-based Access Control, Azure Active Directory, Multi-Factor Authentication, Azure AD Identity Protection, and Azure Policy.

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Who should attend this Azure Training Course?

The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered.

Prerequisites

Successful AWS Sysops start this course with experience in operating systems, virtualization, cloud infrastructure, storage structures, identity solutions, and networking. Specifically, students should have:
  • Working knowledge of how to construct CLI commands, including using the help pages to determine appropriate parameters and command structure.
  • Understanding of virtual network concepts, Domain Name System (DNS), virtual private networks (VPNs), firewalls, gateways, and encryption technologies.
  • Understanding of virtual machines, how they are used, and configuration options like CPU performance and disks.
  • Understanding virtual storage concepts such as storage accounts, blobs, file shares, and disk types.
  • Understanding of governance concepts, including role-based access control, identity management, and identity protection.

Azure Administration for AWS SysOps Course Overview | AZ010

This two-day course is designed for AWS Sysops administrators interested in learning how Azure is different from AWS, and how Azure is administered. The workshops main topics are Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop combines lecture with hands-on practical exercises and discussion/review. During the workshop students will build an end-to-end architecture that demonstrates the main features discussed in the course.

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What's included in this Azure Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

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

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about Microsoft Technologies.

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

In this course, delegates will learn about Cosmos DB and how to migrate MongoDB and Cassandra workloads to Cosmos DB. Delegates will learn how to build Globally Distributed Applications with Cosmos DB. In this 1-day course, delegates will also learn how to migrate MongoDB Workloads to Cosmos DB and how to migrate Cassandra DB Workloads to Cosmos DB.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

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

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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT Professionals.

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

Technically, the database is an organised collection of data. Data workloads contain the data, database engine to access the data, and the database schema for logical structure. For the world’s innovation, AI technology, Machine learning, and cloud services, Microsoft Azure is a leading contender to execute or drive database migration to the cloud. For database administrator, this is the perfect opportunity to migrate data workloads to the cloud platform. Azure is the best cloud platform for simplifying the administration activities, high scalability and availability. From a security perspective, Azure is PCI compliance. It provides advanced-level security for essential and sensitive database. Within an organisation, Azure also helps to improved business agility.

This 1-day course is designed to get a better understanding of how data workloads set up on the Azure Cloud platform. In this course, delegates will learn about SQL Database and gain knowledge of how to migrate MySQL and PostgreSQL workloads to Azure SQL Database.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

 

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). 

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Who should attend?                                                         

This course is specifically targeted to those with who are .Net developers, both beginner and experienced who wish to learn how to develop services and use them in hybrid environments.

Prerequisites

Delegates wishing to attend this course are expected to have:

  • A minimum of six months programming experience
  • Experience with C# programming, and concepts such as Lambda expressions, LINQ, and anonymous types
  • Understanding the concepts of n-tier applications
  • Experience with querying and manipulating data with ADO.NET
  • Knowledge of XML data structures

Developing Microsoft Azure and Web Services (M20487) Course Overview

This Visual Studio, 5-day, M20487 course is aimed at .NET developers. The Developing Microsoft Azure and Web Services certification aims to equip delegates with the skills and knowledge required to develop Azure and Web services and use them in hybrid environments.

For delegates who have completed the course, they are expected to be able to:

  • Query and manipulate data with Entity Framework
  • Use ASP.NET Web API to create HTTP-based services and consume them from .NET and non-.NET clients
  • Extend ASP.NET Web API services using message handlers, model binders, action filters, and media type formatters
  • Create SOAP-based services with the Windows Communication Foundation (WCF) and consume them from .NET clients
  • Apply design principles to service contracts and extend WCF services using custom runtime components and behaviours
  • Secure WCF services using transport and message security
  • Use Windows Azure Service Bus for relayed messaging and brokered messaging using queues and topics
  • Host services on on-premises servers, and on various Windows Azure environments, such as Web Roles, Worker Roles, and Web Sites
  • Deploy services to both on-premises servers and Windows Azure
  • Store and access data in Windows Azure Storage, and configure storage access rights
  • Monitor and log services, both on-premises and in Windows Azure
  • Implement federated authentication by using ACS with ASP.NET Web API services
  • Create scalable, load-balanced services

 

We are fully accredited by Microsoft, for our Developing Microsoft Azure and Web Services course and we are a Silver Partner. 

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Developing Microsoft Azure and Web Services (70-487) Exam

Once the M20487 course has been completed the 70-487 exam should be taken. The Developing Microsoft Azure and Web Services exam information is protected as part of a Non-Disclosure Agreement. Therefore information on the exam format is not available. However, information regarding how the exam content is divided is available and is as follows:

  • Accessing data (20-25%)
  • Querying and manipulating data by using Entity Framework (20-25%)
  • Designing and implementing WCF services (15-20%)
  • Creating and consuming Web API-based services (15-20%)
  • Deploying web applications and services (15-20%)

 

The percentages indicate the weighting of each of the major topic areas covered in the exam. 

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Course Outline | Azure Training | M20537

This course includes the following modules:

Module 1: Overview of Azure Stack

In this first module, the key concepts associated with Azure Stack are described that will help delegates understand what Azure Stack is and the functionality it provides. Delegates will also learn about the differentiators between Azure Stack, Microsoft Azure, and Windows Azure Pack.

Lessons:

  • What is Azure Stack?
  • Comparing Azure Stack with Microsoft Azure
  • Comparing Azure Stack to Windows Azure Pack

Module 2: Foundational Components of Microsoft Azure Stack

In this module, delegates will learn about the Windows Server 2016 features that Azure Stack uses and optional System Centre 2016 components that can be added to further manage and maintain an Azure Stack environment. Delegates will also learn how Azure Stack manages authentication, as well as the various authentication providers that are available.

Lessons:

  • Windows Server 2016 and System Centre 2016
  • Identity and Authentication

Lab: Reviewing the Azure Stack Infrastructure

  • Reviewing the Azure Stack Infrastructure Components

Module 3: Deploying Microsoft Azure Stack

This module introduces some of the internal architecture of Azure Stack and how it forms the basis of the system. It will discuss various Azure Stack concepts such as software defined datacentres, the internal architecture of Azure Stack, Azure Stack infrastructure, Azure Stack prerequisites, and the planning and installation of Azure Stack.

Lessons:

  • Microsoft Azure Stack Architecture
  • Azure Stack Prerequisites
  • Installing Azure Stack

Lab: Confirming prerequisites and installing Microsoft Azure Stack

  • Confirming the prerequisites
  • Confirming the installation was successful

Module 4: Offering Microsoft Azure Stack Resources

This module discusses some of the key features in Azure Stack that provide the mechanisms used by tenants when consuming resources such as virtual machines and SQL Server databases.

Lessons:

  • Working with Plans and Offers
  • Microsoft Azure Stack Marketplace
  • Enabling Multi-Tenancy in Azure Stack
  • Integrating Azure Stack with Windows Azure Pack

Lab: Managing Offers and Plans in Microsoft Azure Stack

  • Configuring Plans
  • Configuring Offers
  • Subscribing to an Offer
  • Delegating Offers
  • Creating a new Marketplace Item

Module 5: Microsoft Azure Stack and DevOps

This module discusses the fundamentals of how Azure Stack enables organisations to leverage DevOps. It details the underpinnings of Azure Stack, the Azure Resource Manager, the SDKs and APIs available, and also how configuration management technologies such as PowerShell Desired State Configuration, Chef, and Puppet can be used to facilitate fast and consistent deployment of applications along with stability.

Lessons:

  • Technologies used in Microsoft Azure Stack for DevOps
  • Azure Resource Manager Templates
  • Third-party Resource Providers

Lab: Debugging and Deploying ARM Templates

  • Using Windows PowerShell to obtain API versions
  • Debug an ARM Template with Visual Studio
  • Deploy a virtual machine using Azure CLI

Module 6: Infrastructure as a Service and Microsoft Azure Stack

This module discusses Infrastructure as a Service in Azure Stack. This covers areas including software defined datacentres, Hyper-V network virtualisation, external connectivity to Azure Stack, Azure consistent storage in Azure Stack, and Virtual Machines in Azure Stack.

Lessons:

  • Software defined networking improvements with Microsoft Azure Stack and Windows Server 2016
  • Azure Stack storage
  • Virtual Machines in Microsoft Azure Stack

Lab: Provisioning Storage and Virtual Machines in Microsoft Azure Stack

  • Creating Subscription and Resource Groups
  • Creating Storage Accounts
  • Creating a Virtual Network
  • Creating Virtual Machines

Module 7: Platform as a Service and Microsoft Azure Stack

Stack brings Platform as Service (PaaS) based offerings from Microsoft Azure to Azure Stack. Microsoft Azure was originally designed for PaaS based application development with IaaS based services added later. With the initial release of Azure Stack, Microsoft are offering 4 PaaS based services. This module will detail each offering and show how these can be utilised.

Lessons:

  • Understanding the Platform as a Service
  • SQL Server and MySQL Server Providers in Microsoft Azure Stack
  • App Service Resource Provider
  • Azure Key Vault
  • Azure Functions

Lab: Configuring Platform as a Service in Azure Stack

  • Adding hosting servers
  • Configuring a Plan and Offer
  • Creating SQL Server databases
  • Configuring a Plan and Offer for App Service

Module 8: Monitoring in Microsoft Azure Stack

In this module, delegates will learn how Azure Stack is monitored and updated. They will also learn how to monitor guest workloads that tenants have provisioned using Azure Stack. Delegates will learn how to troubleshoot the core components of Azure Stack. Finally, they will learn how Azure Stack infrastructure is protected and Tenant workloads can also be protected.

Lessons:

  • Field Replaceable Unit
  • Azure Stack Control Plane Monitoring
  • Patching the Azure Stack Infrastructure
  • Monitoring Guest Workloads in Microsoft Azure Stack
  • Troubleshooting Azure Stack
  • Protecting Azure Stack and Tenant Workloads

Lab: Troubleshooting and Monitoring Microsoft Azure Stack and Guest Operating Systems

  • Monitoring Azure Stack
  • Monitoring Guest Operating Systems
  • Troubleshooting Azure Stack using the Audit Logs and Alerts

Module 9: License Microsoft Azure Stack and Billing Tenants

In this module, delegates will learn how Azure Stack is licensed by Microsoft, including the two charging models for Azure Stack and what other costs are typically involved in an Azure Stack deployment.

Lessons:

  • How to License and Pay for Azure Stack
  • Azure Consistent Usage API
  • Business Costs and Models with Azure Stack

Lab: Obtaining Usage Information

  • Obtaining Azure Stack usage information

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Who Should Attend this Azure Course?

The primary audience for this course is service administrators and DevOps or cloud architects who are interested in using Microsoft Azure Stack to provide cloud services to their end-users or customers from within their own datacentre.

Prerequisites

Before attending this course, delegates should possess or be able to demonstrate:

  • Working knowledge of Windows Server 2016
  • Working knowledge of SQL Server 2014
  • Working knowledge of Microsoft Azure

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Course Overview | Azure Training | M20537

This 5-day course is intended to provide delegates with the key knowledge required to deploy and configure Microsoft Azure Stack. During the course, they will learn the features and functionalities of Microsoft Azure Stack, how to deploy and manage Microsoft Azure Stack, how to configure resources and monitor Microsoft Azure Stack, and more.

This Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack course is fully accredited by Microsoft through the Microsoft Silver Partnership held by The Knowledge Academy.

After completing this course, delegates will be able to:

  • Describe the components and architecture of Microsoft Azure Stack
  • Deploy Microsoft Azure Stack
  • Understand the Windows Server 2016 features used in Microsoft Azure Stack
  • Understand how DevOps use Microsoft Azure Stack
  • Offer resources in Microsoft Azure Stack
  • Manage IaaS in Microsoft Azure Stack
  • Manage PaaS in Microsoft Azure Stack
  • Manage updates in Microsoft Azure Stack
  • Perform monitoring and troubleshooting in Microsoft Azure Stack
  • Understand how licensing and billing works in Microsoft Azure Stack

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What's included in this Azure Training Course?

The Knowledge Academy does not provide an examination for this course. Delegates will be given access to:

  • Tuition from one of our expert trainers
  • Certificate of completion
  • Refreshments

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

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

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professional who want to learn about Microsoft Technologies.

Migrating Windows Server Workloads to Azure​ Course Overview

This workshop explains how to migrate existing on-premises workloads and assets to the cloud, specifically to the Microsoft Azure platform. Delegates will learn how to assess and evaluate an existing on-premises environment in preparation for cloud migration. They will also gain an understanding of how to monitor and optimise their Azure-based workloads to maximise return on investment.

In this 2-day course, delegates will also acquire knowledge of how to use Azure services for protecting and managing your virtual machines, applications, and data.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Implementing Microsoft Azure Cosmos DB Solutions Course Outline | M20777

Module 1: Introduction to Azure Cosmos DB

Describe the purpose and architecture of Cosmos DB.

  • Review of NoSQL database structures
  • Migrating data and applications to Cosmos DB
  • Managing data in Cosmos DB

Lab: Creating and using a SQL API database in Cosmos DB

  • Creating and configuring a Cosmos DB database
  • Migrating data from a Mongo DB database to Cosmos DB
  • Using the SQL API to access data
  • Protecting data in a Cosmos DB database

After completing this module, students will be able to:

  • Create and configure a Cosmos DB.
  • Migrate data from a Mongo DB database to a Cosmos DB database.
  • Describe accessing data using the SQL API.
  • Describe how to protect data in a Cosmos DB.

Module 2: Designing and Implementing SQL API Database Applications

This module describes how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.

  • Document models in Cosmos DB
  • Querying data in a SQL API database
  • Querying and maintaining data programmatically

Lab: Designing and implementing SQL API database applications

  • Design the document structure & partitioning strategy for the product catalog for the retail system
  • Importing product catalog data
  • Querying product catalog information
  • Maintaining stock levels in the product catalog

After completing this module, students will be able to:

  • Design NoSQL document structures that support business requirements and enable efficient operations.
  • Describe how to perform SQL queries against a SQL API database.
  • Explain how to insert, modify, delete, and query data in a SQL API database programmatically.

Module 3: Implementing Server Side Operations

Describe how to create user-defined functions, stored procedures, and triggers.Lessons

  • Server-side programming with Cosmos DB
  • Creating and using stored procedures
  • Using triggers to maintain data integrity

Lab: Writing user-defined functions, stored procedures and triggers

  • Design and implement the document and collection structure
  • Implement the shopping cart functionality in the online retail system.
  • Extend the online retail system to create orders from the items in a shopping cart.
  • Extend the online retail system further to enable customers to view orders and backorders.

After completing this module, students will be able to:

  • Describe how Cosmos DB enables you to implement server-side operations by writing JavaScript code.
  • Describe how use the JavaScript Query API to implement transactional operations with stored procedures.
  • Describe how use create triggers that you can use to maintain integrity when inserting, updating, and deleting documents.

Module 4: Optimizing and monitoring performance

Describe how to optimize a database, and how to monitor performance.Lessons

  • Optimizing database performance
  • Monitoring the performance of a database

Lab: Tuning a database and monitoring performance

  • Gathering execution statistics
  • Examining how the different consistency models can impact throughput and latency
  • Investigate the effects of triggers on performance
  • Monitoring performance and tuning the partition key

After completing this module, students will be able to:

  • Describe how to tune the configuration of a database and collections for best performance.
  • Describe how to assess the performance of a document database and identify options for improving throughput.

Module 5: Designing and Implementing a Graph Database

This module describes how to create efficient graph database models using Cosmos DB.Lessons

  • Graph database models in Cosmos DB
  • Designing Graph database models for efficient operation

Lab: Designing and implementing a Graph database

  • Implementing a recommendations engine for customers
  • Recording product purchase information
  • Query a Graph database to obtain analytics

After completing this module, students will be able to:

  • Describe the features that Cosmos DB provides for implementing graph databases.
  • Design NoSQL graph structures that support business requirements and enable efficient operations.

Module 6: Querying and Analyzing Big Data with Cosmos DB

This module describes how to use Azure Search and HDInsight with Cosmos DB to query and analyze big data.Lessons

  • Integrating Cosmos DB with Azure search to optimize queries
  • Analyzing data in a Cosmos DB database using Apache Spark
  • Visualizing data in a Cosmos DB database

Lab: Querying and Analyzing Big Data with Cosmos DB

  • Extending product search capabilities
  • Performing end-of-month processing
  • Visualizing sales data
  • Exploring sales data

At the end of this module, students will be able to:

  • Describe how to integrate Cosmos DB with Azure Search to perform efficient query processing over big data.
  • Describe how to analyze big data held in Cosmos DB using Apache Spark.
  • Describe how to visualize data in Cosmos DB using Jupyter notebooks, Power BI, and Azure Databricks.

Module 7: Implementing Stream Processing with Cosmos DB

This module describes how to use Cosmos DB as a source and sink for streaming data.Lessons

  • Working with the Cosmos DB change feed
  • Integrating Cosmos DB into streaming solutions

Lab: Using Cosmos DB with stream processing

  • Handling orders
  • Maintaining stock analytic data
  • Displaying rolling revenue for a given time period

After completing this module, students will be able to:

  • Describe the Cosmos DB change feed, and how to use it to process data efficiently.
  • Explain how to incorporate Cosmos DB into streaming solutions such as Apache Kafka, Apache Spark, and Azure Stream Analytics.

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Who should attend this Azure Training Course?

The primary audience for this course is database developers and architects (IT professionals, developers, and information workers) who plan to implement big data solutions on Azure using Cosmos DB.

Prerequisites

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • The fundamental concepts of partitioning, replication, and resource governance for building and configuring scalable applications that are agnostic of a Cosmos DB API.
  • Basic working knowledge of the Cosmos DB SQL API.

Implementing Microsoft Azure Cosmos DB Solutions Course Overview | M20777

This three-day instructor-led course is aimed at database professionals who are looking to implement a Cosmos DB solution.

After completing this course, students will be able to:

  • Describe the purpose and architecture of Azure Cosmos DB.
  • Describe how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.
  • Describe how to create user-defined functions, stored procedures, and triggers.
  • Describe how to tune a database, and how to monitor performance.
  • Describe how to create efficient Graph database models using Cosmos DB.
  • Describe how to use Azure Search, HDInsight, Azure Databricks, and Power BI with Cosmos DB to query and analyze big data.
  • Describe how to use Cosmos DB as a source and sink for streaming data.

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What's included in this Azure Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

Implementing Microsoft Azure Cosmos DB Solutions Exam 70-777 Information

  • Partition and Model Data
  • Replicate Data Across the World
  • Tune and Debug Azure Cosmos DB Solutions
  • Perform Integration and Develop Solutions

Please Note: The exam is not included in the cost of the training course.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

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.

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Who should attend this Azure Training Course?

This course is designed for IT professionals.

Prerequisites

There are no formal prerequisites for this course.

 

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

Introduction to Microsoft Azure for IT Professionals Course Overview | M10979

Microsoft is the leading brand within every business and IT profession field. As we all know, Microsoft has a cluster of the most excellent products and services. From this cluster, Azure is the cloud computing service. Azure provides high availability services, building, testing, deploying, and managing applications and services through Microsoft managed data centres. Azure always gives the best scenario to an organisation to achieve business challenges and upgrade within future business strategies. Azure provides a bunch of services for developers, database administrator, and cloud administrator.

During this course, delegates will learn about cloud computing and manage the Azure portal. Delegates will get an understanding of how to manage Azure services and understand the tools to manage Azure, and using the CLI to manage Azure subscriptions. Delegates will learn about how to create and configure the virtual machine as well as virtual network and storage.

In this course, delegates will gain knowledge and skills of how to create the Azure services, including web apps and Azure SQL database. Post completion of this course, delegates will get an understanding of features of Azure AD within methods of integrating it with on-premises active directory and learn about serverless computing technology with Azure as well.

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

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What's included in this Azure Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

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

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Who should attend this course?

This course is designed for Azure Administrators who manage cloud services such as storage, networking, and computing. 

Prerequisites

There are no formal prerequisites for this course.

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

This 3-day training course will provide delegates with the foundational knowledge and skill-set to manage Azure subscriptions and cloud resources. This includes using role-based access control to grant access to Azure users, groups, and services, and learning about the key monitoring tools and capabilities. Delegates will be introduced to Log Analytics to query and analyse data, and the Azure Resource Manager deployment model.

Also, this course teaches delegates how to implement Azure storage solutions for a variety of scenarios. Delegates learn about the different storage accounts and services as well as basic data replication concepts and available replication schemes. Delegates are also introduced to Storage Explorer as a convenient way to work with Azure storage data and learn the types of storage and how to work with managed and custom disks.

Learn how to create and manage virtual machines as part of an Infrastructure as a Service (IaaS) computing infrastructure. Delegates learn how to assess their on-premises environment for virtual machine readiness in preparation for moving resources to the cloud, including sizing, pricing, and design considerations

You will learn how to configure and manage Azure virtual networks (VNets). The benefits of moving an infrastructure to the cloud, removing the need to maintain expensive datacentres are an appealing proposition for many small and medium-sized companies. Regardless, once resources are moved to Azure, they require the same networking functionality as an on-premises deployment, and this course deals with the basic network configuration tasks.

Understand how to use Azure Active Directory (AD) to provide employees and customers with a multi-tenant cloud-based directory and identity management system. Delegates will learn the differences between Azure AD and Active Directory Domain Services (AD DS), as well the differences in functionality offered by the different editions of Azure AD. Delegates will also learn how to configure self-service password reset, or to use the option of password writes back to reset user passwords regardless of their location. Delegates are then introduced to Azure AD Identity Protection and learn how they can use it to protect their organisations from compromised accounts, identity attacks, and configuration issues. Students also learn how to integrate Azure AD with the many Software as a Service (SaaS) applications that are used, in order to secure user access to those applications.

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Microsoft Azure Infrastructure & Deployment Exam Information

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam.​

  • Manage Azure subscriptions and resources (15-20%)
  • Implement and manage storage (20-25%)
  • Deploy and manage virtual machines (VMs) (20-25%)
  • Configure and manage virtual networks (20-25%)
  • Manage identities (15-20%)

Please Note: The Exam for this course has been retired by Microsoft.

 

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

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

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Who should attend?

This MOC Workshop: Architecting Microsoft Azure solutions training is designed for individuals who are either intermediate or advanced users of Microsoft Azure. Specifically, this course is for IT Pros and developers, or those who like to pursue a career as a Solution Architect.

Prerequisites

As a prerequisite of this training course, candidates must complete the following free course https://aka.ms/edxazurearchitecture, or be able to demonstrate the equivalent knowledge and experience.

MOC Workshop: Architecting Microsoft Azure Solutions Course Overview | M40442

This MOC Workshop: Architecting Microsoft Azure Solutions training, consists of a 3-day course that will educate candidates on the most effective methods for solving Microsoft Azure issues. Therefore, this training course will enable delegates to design their own solutions, in line with their organisation, that can be implemented to optimise the use of Microsoft Azure.

Within the workshop nature of the course, candidates will work in groups studying real and current case studies to learn how to design solutions for Microsoft Azure. This training course is fully accredited by Microsoft through the Microsoft Silver Partnership that The Knowledge Academy hold.

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  • Please Note: The Exam for this course has been retired by Microsoft.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

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

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Who should attend this course?

This course is for Azure Administrators. Azure Administrators manage the cloud services that span storage, networking and compute cloud capabilities, with a deep understanding of each service across the full IT lifecycle. This role requires communicating and coordinating with vendors. Azure Administrators use the Azure Portal and as they become more proficient they use PowerShell and the Command Line Interface.

Prerequisites

There are no formal prerequisites for this course, but previous experience with operating systems, virtualisation, cloud infrastructure, storage structures, and networking will be beneficial. 

 

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

Delegates will also learn how to use Azure Site Recovery for performing the actual migration of workloads to Azure. The course focuses primarily on using ASR on a Hyper-V infrastructure to prepare and complete the migration process. In addition, delegates learn about other scenarios, such as migration of VMware vSphere Hypervisor virtual machines and System Centre VMM Hyper-V machines.

This course teaches IT Professionals how to manage and maintain the infrastructure for the core web apps and services that developers build and deploy. Delegates will learn how Azure App Service is used as a Platform as a Service (PaaS) offering for deploying cloud apps for web and mobile environments. Delegates will also learn how to use App Service Environments (ASE) to host a dedicated environment for securing and running App Service apps at scale. Students will also learn how to use deployment slots as staging environments for web apps, that can then be swapped into production when needed.

This three-day course teaches IT Professionals how to implement and configure different Azure networking traffic distribution mechanisms, including Azure Load Balancer, Azure Traffic Manager, and Azure Application Gateway. Delegates will also learn how to implement site connectivity for multiple scenarios including cross-premises and hybrid configurations, as well as extending on-premises networks into the Microsoft cloud over a dedicated private connection, using Azure ExpressRoute. Lastly, delegates will learn how to use Network Watcher to monitor and troubleshoot Azure virtual networks. They will also learn how to troubleshoot and remediate common errors in Azure Application Gateway and Azure Load Balancer.

Understand the challenges that organisations face in keeping modern IT environments secure, as the more distributed environments that are part of a cloud-first or hybrid world have rapidly created new security challenges for IT. The course focuses on three key areas in the defence against attackers who target security vulnerabilities, resulting particularly from credential theft and compromised identities: Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and Azure Active Directory Privileged Identity Management (PIM).

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Microsoft Azure Integration & Security exam information

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam.

  • Evaluate and perform server migration to Azure (15-20%)
  • Implement and manage application services (20-25%)
  • Implement advanced virtual networking (30-35%)
  • Secure identities (25-30%)

Please Note: The Exam for this course has been retired by Microsoft.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

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

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Who should attend this training course?

This course is for experienced programmers who want to develop and host solutions in Azure. Learners should have some experience with Azure and must be able to program in at least one Azure-supported language. The course focuses on C#, Node.js, Azure CLI, Azure PowerShell, and JavaScript.

Prerequisites

There are no formal prerequisites for this course.​

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

This three-day training course is part of a series of four courses to help you prepare for Microsoft’s Azure Developer certification exam AZ-200: Develop Core Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.

The coursework covers Azure architecture, design and connectivity patterns, and choosing the right storage solution for your development needs.

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Microsoft Azure Developer - Developing Core Cloud Solutions exam information

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam.

  • Select the appropriate cloud technology solution (15-20%)
  • Develop for cloud storage (30-35%)
  • Create Platform as a Service (PaaS) Solutions (35-40%)
  • Secure cloud solutions (15-20%)

Please Note: The Exam for this course has been retired by Microsoft.

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accredited by

Microsoft Gold Partner, on behalf of Microsoft Partner

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

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

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Who should attend this training course?

This course is for experienced programmers who want to develop and host solutions in Azure. Learners should have some experience with Azure and must be able to program in at least one Azure-supported language. The course focuses on C#, Node.js, Azure CLI, Azure PowerShell, and JavaScript.

Prerequisites

There are no formal prerequisites for this course.​​

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

This three-day training course is part of a series of four courses to help you prepare for Microsoft’s Azure Developer certification exam AZ-201: Develop Advanced Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.

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Microsoft Azure Developer - Developing Advanced Solutions Exam Information

This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam.

  • Develop for an Azure cloud model (50-55%)
  • Implement cloud integration solutions (25-30%)
  • Develop Azure Cognitive Services, Bot, and IoT solutions (20-25%)

 

Please Note: The Exam for this course has been retired by Microsoft.

 

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Frequently asked questions

FAQ's

Microsoft Azure is a cloud computing platform the development and deployment of mobile and PC applications.
Our classroom Microsoft courses include a courseware book, refreshments, and a certificate upon completion. Where appropriate, they also include exams.
Our Azure training courses are available across the world in thousands of locations, making it easy to find a course near you.
Prerequisites for our Azure courses vary, please see the courses themselves for details.
The Knowledge Academy is the Leading global training provider in the world for Microsoft Azure Training.
The price for Microsoft Azure Training certification in the United Kingdom starts from £695.

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