Naslovnica

AZ-204: Developing Solutions for Microsoft Azure

Learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities.

You will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

Što ćete naučiti

  • Creating Azure App Service Web Apps
  • Implement Azure functions
  • Develop solutions that use blob storage
  • Develop solutions that use Cosmos DB storage
  • Implement IaaS solutions
  • Implement user authentication and authorization
  • Implement secure cloud solutions
  • Implement API Management
  • Develop App Service Logic Apps
  • Develop event-based solutions
  • Develop message-based solutions
  • Monitor and optimize Azure solutions
  • Integrate caching and content delivery within solutions

Kome je namijenjeno

  • Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.

Preduvjeti

  • Students should have 1-2 years professional development experience and experience with Microsoft Azure. They must be able to program in an Azure Supported Language.

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