The current competitiveness in the software development industry has put a high premium on companies needing to be flexible. Geared towards rapid delivery and continuous tractability, agile culture has taken over the project management space and increased the success rate of many software companies.
In this section, we’ll focus on face identification and check the capabilities of Face API to identify the faces of the persons. In this section, we’ll see what all services we can write to perform face identification. We’ll test the services using Postman and in the next section, we’ll walk through a live face identification application.
In the last article on learning Azure Face API Cognitive service, we learned how to setup Azure account, create Face API on Azure portal and test the services created. In this article we’ll explore the Face API ADK and do some code. Please follow the first part before moving on to this one.
This article series is a complete end to end tutorial that will explain the concept of face recognition and face detection using modern AI based Azure cognitive service i.e. Azure’s Face API service.
Kubernetes not only benefits development team in application deployment but also is a boon for the DevOps team that helps in monitoring and error handling. Kubernetes offers a layer of abstraction where the DevOps do not have to worry about keeping an eye upon the individual applications rather they manage and supervise Kubernetes and other related infrastructure.
This article is the continuation of the three series article where we are trying to learn and get hands-on with Azure Kubernetes Services. In the last article, we created an ASP.NET Core application and containerized it with Docker. We created the local image of the application and tested it locally. In this article we’ll deploy that image to local Kubernetes cluster.
In this article, we’ll demonstrate how to orchestrate the deployment and scaling of an entire ASP.NET Core application using Docker and Azure Kubernetes Services.
In this article, we’ll discuss how to create a real-time chatbot using Google’s Dialogflow API and integrate the same with Slack. The reader of the article does not need to have prior knowledge of bot creation as the article will demonstrate the bot creation and deployment step by step using explanatory pictures.
Get Hands-on with Chat-bots. Learn to create your own chat-bot. This book makes you familiar with the concept of the chatbot. It focuses on creating a bot using Amazon’s Lex service and getting the bot deployed on Facebook messenger for live chatting.
This article of getting accustomed to serverless functions will help a developer to learn what Azure functions are, how to create an Azure function from Visual Studio, publish and test the function on Azure. The article will also teach how to debug a published Azure function from Visual Studio.