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. See full details
at: microsoft.com/learn
