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AZ-300: Microsoft Azure Architect Technologies

Through the training, participants will be introduced to the material that will help them in advising users and how to implement the solution so that user business requirements are implemented as secure, scalable and reliable solutions on the Azure platform.

Learn to Deploy and Configure Infrastructure, Implement workloads and security, create and deploy Apps, Implement Authentication and Secure Data and develop for the Cloud and for Azure Storage.

Što ćete naučiti

  • Managing Azure Subscriptions and Resources
  • Implementing and Managing Storage
  • Deploying and Managing VMs
  • Configuring and Managing Virtual Networks
  • Managing Identities using Azure Active Directory
  • Evaluating and Performing Server Migration to Azure
  • Implementing and Managing Application Services
  • Implementing Advanced Virtual Networking.
  • Securing Identities using Azure AD.
  • Design and Connectivity Patterns
  • Hybrid Networking
  • Address Durability of Data and Caching
  • Measure Throughput and Structure of Data Access
  • Use shell commands to create an App Service Web App
  • Create Background Tasks
  • Use Swagger to document an API
  • Create a reliable service
  • Create a Reliable Actors app
  • Hands-on with Reliable collections
  • Understand the Azure Container Registry
  • Use Azure Container instances
  • Understand how to Implement authentication using certificates, Azure AD, Azure AD Connect, and tokens.
  • Implement Role-Based Access Control (RBAC) authorization.
  • Implement secure data for end-to-end encryption.
  • Implement secure data for implementing SSL and TLS communications.
  • Use Azure Key Vault to manage cryptographic keys.
  • How to configure a message-based integration architecture
  • Understand how to Develop for Asynchronous Processing
  • Begin creating apps for Autoscaling
  • Understand Azure Cognitive Services Solutions

Kome je namijenjeno

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

Preduvjeti

  • Advanced knowledge about Azure, Azure administration and core software development principles. It would be helpful to have experience in an organization that delivers software.

Nastavni plan

Pregledaj
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
Preuzmi
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