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