Exam Ref AI-900 Microsoft Azure AI Fundamentals

Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure. Coverage includes: AI workloads and considerations Fundamental principles of ML on Azure Features of computer vision workloads on Azure Features of Natural Language Processing (NLP) workloads on Azure Features of conversational AI workloads on Azure Step-by-step guidance for implementing ML/AI workloads on Azure Microsoft Exam Ref publications stand apart from third-party study guides because they: Provide guidance from Microsoft, the creator of Microsoft certification exams Target professional-level exam candidates with content focused on their needs, not one-size-fits-all content Streamline study by organizing material according to the exam’s objective domain (OD), covering one functional group and its objectives in each chapter Feature Thought Experiments to guide candidates through a set of what if? scenarios, and prepare them more effectively for Pro-level style exam questions Explore big picture thinking around the professional’s job role For more information on Exam AI-900 and the Microsoft Certified Azure AI Fundamentals credential, visit https://docs.microsoft.com/en-us/learn/certifications/exams/AI-900.  
Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure.