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AI-900: Microsoft Azure AI Fundamentals is an essential course for anyone looking to gain a solid understanding of artificial intelligence and its applications in the Microsoft Azure platform. This course is designed to provide a comprehensive overview of AI concepts, tools, and services offered by Azure, making it an ideal starting point for beginners in the field.AI-900 is a certification exam offered by Microsoft that validates the foundational knowledge of individuals in AI and its associated services on the Azure platform. It serves as a stepping stone for both technical and non-technical professionals who wish to gain a comprehensive understanding of AI and its implications.This Practice Exam, you will learn the fundamentals of AI and how it can be leveraged to solve real-world problems. You will explore various AI technologies such as machine learning, natural language processing, computer vision, and more. The course covers the basics of Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service, giving you a hands-on experience in building AI-powered applications.Earning the AI-900 certification demonstrates proficiency in AI technologies and methodologies provided by Azure. It showcases an individual's ability to leverage AI tools and services to solve business problems effectively. This certification is highly valuable for professionals aiming to become data scientists, AI engineers, or solution architects.AI-900: Microsoft Azure AI Fundamentals Exam details:Exam Name: Microsoft Certified - Azure AI FundamentalsExam Code: AI-900Exam Price: $99 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 60 Minutes. The exam is available in English and Japanese languages.Passing Score: 700 / 1000Languages: English, Japanese, Korean, and Simplified ChineseSchedule Exam: Pearson VUEAI-900: Microsoft Azure AI Fundamentals Certification Exams skill questions:Skill Measurement Exam Topics:-Describe Artificial Intelligence workloads and considerations (20-25%)Describe fundamental principles of machine learning on Azure (25-30%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)##) Describe Artificial Intelligence workloads and considerations (20-25%)Identify features of common AI workloadsIdentify features of anomaly detection workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify knowledge mining workloadsIdentify guiding principles for responsible AIDescribe considerations for fairness in an AI solutionDescribe considerations for reliability and safety in an AI solutionDescribe considerations for privacy and security in an AI solutionDescribe considerations for inclusiveness in an AI solutionDescribe considerations for transparency in an AI solutionDescribe considerations for accountability in an AI solution##) Describe fundamental principles of machine learning on Azure (25-30%)Identify common machine learning typesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosDescribe core machine learning conceptsIdentify features and labels in a dataset for machine learningDescribe how training and validation datasets are used in machine learningDescribe capabilities of visual tools in Azure Machine Learning StudioAutomated machine learningAzure Machine Learning designer##) Describe features of computer vision workloads on Azure (15-20%)Identify common types of computer vision solutionIdentify features of image classification solutionsIdentify features of object detection solutionsIdentify features of optical character recognition solutionsIdentify features of facial detection and facial analysis solutionsIdentify Azure tools and services for computer vision tasksIdentify capabilities of the Computer Vision serviceIdentify capabilities of the Custom Vision serviceIdentify capabilities of the Face serviceIdentify capabilities of the Form Recognizer service##) Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)Identify features of common NLP Workload ScenariosIdentify features and uses for key phrase extractionIdentify features and uses for entity recognitionIdentify features and uses for sentiment analysisIdentify features and uses for language modelingIdentify features and uses for speech recognition and synthesisIdentify features and uses for translationIdentify Azure tools and services for NLP workloadsIdentify capabilities of the Language serviceIdentify capabilities of the Speech serviceIdentify capabilities of the Translator serviceIdentify considerations for conversational AI solutions on AzureIdentify features and uses for botsIdentify capabilities of Power Virtual Agents and the Azure Bot serviceAI-900: Microsoft Azure AI Fundamentals is a valuable certification that equips individuals with essential knowledge and understanding of AI and its applications. With the increasing adoption of AI technologies, this certification opens doors to exciting career opportunities and enhances credibility in the rapidly evolving world of artificial intelligence. Whether you are a technical or non-technical professional, AI-900 can be a stepping stone towards building a successful career in AI. So, why wait? Start your AI journey today with AI-900 and unlock the possibilities of this transformative technology!

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