You must practice these practice tests to get confident in AI-900 Exam and give your best in the actual exam to get certified successfully.This set of practice tests will be get updated, so you can get more questions to great learning. It's based on a new question pattern.[3800++ Students have been enrolled for this course.]Microsoft Certified: Azure AI Fundamentals AI-900This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial.Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.Skills measured AI 900Describe AI workloads and considerationsDescribe fundamental principles of machine learning on AzureDescribe features of computer vision workloads on AzureDescribe features of Natural Language Processing (NLP) workloads on AzureDescribe features of conversational AI workloads on Azure------------------------------------------------------------------------------------------------------------------------------------------------------------------Overview of AIAI is the creation of software that imitates human behaviors and capabilities. Key elements include:Machine learning - This is often the foundation for an AI system, and is the way we "teach" a computer model to make predictions and draw conclusions from data.Anom
What you'll learn
understanding of AI workloads
knowledge of machine learning principles on Azure
familiarity with computer vision features on Azure
insight into natural language processing workloads on Azure
awareness of conversational AI workloads on Azure
Course objectives
prepare for the Microsoft Azure AI Fundamentals exam
demonstrate knowledge of common AI and ML workloads
understand the implementation of AI solutions on Azure