Exam Ref AI-900 Microsoft Azure AI Fundamentals

The Microsoft Exam AI-900 prepares for Azure AI and demonstrates real-world knowledge of ML and AI workloads. It is designed for business stakeholders, IT professionals, consultants, and students. The exam covers fundamental principles of machine learning, computer vision, NLP, and conversational AI on Azure. It assumes no data science or software engineering experience and covers exam objectives such as identifying AI workloads, fundamental principles, features, and capabilities. Passing the exam fulfills the requirements for the Microsoft Certified: Azure AI Fundamentals certification, allowing individuals to advance to more advanced role-based certifications.

Format: Paperback / softback
Length: 208 pages
Publication date: 16 February 2022
Publisher: Pearson Education (US)

Prepare for the Microsoft Exam AI-900 and showcase your real-world expertise in diverse machine learning (ML) and artificial intelligence (AI) workloads, along with their implementation on Azure AI. Designed for business stakeholders, new and existing IT professionals, consultants, and students, this Exam Ref emphasizes the critical thinking and decision-making skills required for success at the Microsoft Certified: Azure AI Fundamentals level.

Focus on the expertise measured by these objectives:

• Describe AI workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

This Microsoft Exam Ref:
• Organizes its coverage by exam objectives
• Features strategic, what-if scenarios to challenge you
• Assumes you are a business user, stakeholder, technical professional, or student who wants to familiarize yourself with Azure AI; no prior data science or software engineering experience is required.

About the Exam:
Exam AI-900 focuses on the knowledge needed to identify the features of common AI workloads and guiding principles for responsible AI. It covers identifying common ML types, describing core ML concepts, outlining core tasks in creating an ML solution, exploring capabilities of no-code ML with Azure Machine Learning Studio, recognizing common types of computer vision solutions, leveraging Azure tools and services for computer vision tasks, identifying features of common NLP workload scenarios, utilizing Azure tools and services for NLP workloads, and identifying common use cases and Azure services for conversational AI.

About Microsoft Certification:
Passing this exam fulfills your certification requirements.

Weight: 382g
Dimension: 239 x 251 x 16 (mm)
ISBN-13: 9780137358038