Course Duration: 4 Days

About This Course

In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediation of vulnerabilities by using a variety of security tools. The course covers configuring and deploying security solutions for cloud N-tier architecture.

Audience Profile

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

At Course Completion

After completing this course, students will be able to:

  • Describe specialized data classifications on Azure
  • Identify Azure data protection mechanisms
  • Implement Azure data encryption methods
  • Secure Internet protocols and how to implement them on Azure
  • Describe Azure security services and features

Prerequisites

Before attending this course, it is strongly encouraged that learners acquire the knowledge equivalent to what is assessed as part of the Microsoft Azure Administrator Associate certification.

Course Outline

Module 1: Manage Identity and Access Gone are the days when security focused on a strong perimeter defense to keep malicious hackers out. Anything outside the perimeter was treated as hostile, whereas inside the wall, an organization’s systems were trusted. Today's security posture is to assume breach and use the Zero Trust model. Security professionals no longer focus on perimeter defense. Modern organizations have to support access to data and services evenly from both inside and outside the corporate firewall. This module will serve as your roadmap as you start building more security into your Azure solutions.

Lessons

  • Configure Azure AD PIM
  • Configure and manage Azure Key Vault
  • Configure Azure AD for Azure workloads
  • Security for an Azure subscription

After completing this module, students will be able to:

  • Understand the Zero Trust Model.
  • Configure Azure Active Directory for workloads.
  • Configure Azure AD Privileged Identity Management.
  • Configure Azure tenant security.
  • Configure and manage Key Vault.

Module 2: Implement Platform Protection We know that security is job one in the cloud and how important it is that you find accurate and timely information about Azure security. One of the best reasons to use Azure for your applications and services is to take advantage of its wide array of security tools and capabilities. These tools and capabilities help make it possible to create secure solutions on the secure Azure platform.

Lessons

  • Understand cloud security
  • Azure networking
  • Secure the network
  • Implementing host security
  • Implement platform security
  • Implement subscription security

After completing this module, students will be able to:

  • Implement network security.
  • Implement host security.
  • Configure container Security.
  • Implement Azure Resource Manager security.

Module 3: Secure Data and applications Azure security for data and applications offers a comprehensive solution that helps organizations take full advantage of the promise of cloud applications while maintaining control with improved visibility into activity. It also increases protection of critical data across cloud applications. With tools to help uncover Shadow IT, assess risk, enforce policies, investigate activities and stop threats, organizations can safely move to the cloud while maintaining control of critical data.

Lessons

  • 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 security policies to manage data.
  • Configure security for data infrastructure.
  • Configure encryption for data at rest.
  • Implement security for application delivery.
  • Configure application security.

Module 4: Manage Security OperationsAzure provides security mechanisms to aid administrators who manage Azure cloud services and virtual machines. These mechanisms include: Authentication and role-based access control. Monitoring, logging, and auditing. Certificates and encrypted communications. A web management portal.

Lessons

  • Configure security services
  • Configure security policies using Azure Security Center
  • Manage security alerts
  • Respond to an remediation of security issues
  • Create security baselines

After completing this module, students will be able to:

  • Configure security services.
  • Configure security policies.
  • Manage security alerts.

Module 1: Introducing Azure Cognitive Services

  • The student 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

  • The student 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

  • The student 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

  • The student will learn about 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 Language Understanding with Intents and Utterances

Module 5: Enhancing Your Bots with LUIS

  • The student 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

  • The student 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