Deploying and configuring AI solutions in Microsoft Azure to support business outcomes requires in-depth knowledge about the range of service and options available in Azure, as well as a foundational knowledge of what an AI solution actually is.

This course is for data pros, developers, and IT pros with different areas of responsibility who need to collaborate effectively on data science projects and iteratively develop repeatable, high-quality machine learning models in Microsoft Azure.

Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started.

Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, through cameras, images, and video. There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many AI services in Microsoft Azure.

Explore two AI workloads: document intelligence and knowledge mining.

Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, code, and more.

Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.

Alerting is critical for any service and especially data services that form the most critical piece of most solutions. In this course you’ll explore the alerting options for key Azure data services.

This course demonstrates how to use Microsoft Azure API Management to quickly and securely enable APIs for mobile development and for internal and external use.

This course will introduce current and aspiring Azure Administrators to the courses composing the Azure App Services course path.

Azure is Microsoft's premier public cloud offering. This course provides current or future cloud architects with the skills they need to develop performant, scalable, and secure Azure solutions for their customers.

Do you need to find abnormalities in your time series data before it is too late? This course will teach you to do so using Azure Cognitive Services Anomaly Detector service.