From the course: Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure

Getting started with the AI-900 Machine Learning exam

- [Emilio] What if you could predict the future? If you could forecast which customers are going to buy your product, watch your content, or miss their payments? What if you could take the guesswork out of figuring out your optimal prices? Finally, what if you could save lives by discovering which one of your patients might get sick before it even happens? Machine learning can respond a lot of these questions. And with the recent developments on cloud technologies, generating these answers might be much simpler than you think. Whether you're new to artificial intelligence, or already using Microsoft AI technologies for awhile, the AI-900 exam might be an excellent way for you to prove your knowledge, get started in the area, or even, who knows, get a raise, or step into a more senior role. In this course, we're going to cover machine learning concepts, such as regression, classification, and clustering using Azure ML, which is one of the requirements for the AI-900 exam. This includes the end-to-end process of creating a model using the Azure ML Studio, as well as the wizard-based experience of using L to ML. I'm Emilio Melo, a certified Azure AI engineer associate and former cloud solutions architect for data and AI at Microsoft. If you're ready to discover how machine learning capabilities can help you better understand your customers, your products, and your business, come join me in this LinkedIn course, "Azure AI Fundamentals AI-900 Cert Prep: Principles of Machine Learning on Azure."

Contents