English | 2022 | EPUB, Converted PDF | 35 MB
Julian Sharp, B08T7G3K77, 0137358032, 0137358148, 9780137358038, 9780137358144, 978-0137358038, 978-0137358144
Prepare for Microsoft Exam AI-900 and
help demonstrate your real-world knowledge of diverse machine learning
(ML) and artificial intelligence (AI) workloads, and how they can be
implemented with Azure AI. Designed for business stakeholders, new and
existing IT professionals, consultants, and students, this Exam Ref
focuses on the critical thinking and decision-making acumen needed 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 become familiar with Azure AI; requires no data
science or software engineering experience. About the Exam Exam AI-900
focuses on knowledge needed to identify features of common AI
workloads and guiding principles for responsible AI; identify common ML
types; describe core ML concepts; identify core tasks in creating an
ML solution; describe capabilities of no-code ML with Azure Machine
Learning Studio; identify common types of computer vision solutions;
identify Azure tools and services for computer vision tasks; identify
features of common NLP workload scenarios; identify Azure tools and
services for NLP workloads; and identify common use cases and Azure
services for conversational Al. About Microsoft Certification Passing
this exam fulfills your requirements for the Microsoft Certified: Azure
AI Fundamentals certification, demonstrating your knowledge of common
ML and AI workloads and how to implement them on Azure. With this
certification, you can move on to earn more advanced role-based
certifications, including Microsoft Certified: Azure AI Engineer
Associate or Azure Data Scientist Associate.
