Hello, Habr! Today we are at the midpoint of a series featuring great free courses from Microsoft. In this part, we have the coolest courses. for solution architectsAll of them are in Russian, you can start right now, and upon completion, you will receive a badge. Join us!
All articles in the series
This block will be updated with the release of new articles
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1. Creating Intelligent Bots
User interaction with computer applications through conversation using text, images, or speech can be accomplished with bots. This can be a simple 'question-answer' dialogue or a complex bot that allows users to interact with services intelligently, using pattern matching, state tracking, and artificial intelligence methods. In this course, you will learn how to create an intelligent chatbot by integrating QnA Maker and LUIS in just 2.5 hours.
Learn more details and start the training
2. Developing and Configuring an ASP.NET Application that Connects to an SQL Azure Database
Create a database to store application data and configure an ASP.NET application that queries data from this database. It's all set up in just an hour! Note that you need a basic understanding of relational databases and foundational knowledge of C# to complete the course.
This module covers the following topics:
- Creating, configuring, and populating a separate database in the SQL Azure Database service;
- Configuring the ASP.NET application to connect to this database.
3. Load Balancing Web Service Traffic with Application Gateway
After studying this module, you will learn how to enhance application resilience by distributing load across multiple servers and utilizing web traffic routing.
In this module, you will learn how to perform the following tasks:
- Defining the load balancing capabilities of the Application Gateway;
- Creating an Application Gateway and configuring load balancing;
- Configuring the Application Gateway for URL path-based routing.
4. Deploying and Running a Containerized Web Application using Azure App Service
Create a Docker image and save it in the Azure Container Registry. Use Azure App Service to deploy the web application from the Docker image. Set up continuous deployment of the web application using a webhook that monitors changes to the Docker image.
In this module, you will learn the following.
- Creating Docker images and saving them in the Azure Container Registry;
- Running web applications from Docker images stored in the Container Registry using Azure App Service;
- Setting up continuous deployment of a web application from a Docker image using webhooks.
5. Deploying a website in Azure using Azure App Service
Web applications in Azure make it easy to publish and manage a website without worrying about the underlying servers, storage, or network resources. This course covers the essentials of publishing a website using Azure. It will take about 5 hours to complete.
Modules:
- Preparing the development environment in Azure;
- Hosting a web application with Azure App Service;
- Publishing a web application in Azure using Visual Studio;
- Preparing the deployment of a web application for testing and rollback using Azure App Service deployment slots;
- Scaling the web application of the App Service to effectively meet demand with vertical and horizontal scaling of Azure App Service;
- Deploying and running a containerized web application with Azure App Service.
6. Overview of n-tier architecture style for applications
Using the Resource Manager template to deploy an application in n-tier architecture, defining key concepts of n-tier architecture, tips and recommendations for deploying such applications.
From this module, you will learn how to perform the following tasks:
- Defining the functions, limitations, and key aspects of n-tier architecture;
- Defining use cases for n-tier architecture;
- Deploying an example of n-tier architecture using the Resource Manager template;
- Identifying methods and resources to enhance n-tier architecture.
7. Processing and classifying images using Azure Cognitive Vision Services
Microsoft Cognitive Services provides built-in functionalities for integrating computer vision into applications. Learn how to use Cognitive Vision Services to detect faces, tag and classify images, and identify objects.
Modules:
- Detecting faces and emotions using the Computer Vision API in Azure Cognitive Services;
- Processing images using the Computer Vision service;
- Classifying images using the Custom Vision service;
- Evaluating the requirements for implementing the Custom Vision API.
Conclusion
Here are 7 fantastic training courses that can be beneficial for solution architects. Of course, we have many other courses that are not included in this selection. You can find them on our Microsoft Learn resource (the aforementioned courses are also listed there).
Very soon, we will continue this series of articles with two more selections. What they will be about—you can try to guess in the comments. After all, the asterisks in the table of contents for this series of articles are not there for no reason.
*Please note that you may need a secure connection to complete some modules.
Source: habr.com
