Microsoft Azure AI (AI-900) Exam Questions Apr - 2025

Course Overview

• Course Title: Microsoft Azure AI (AI-900) Exam Questions Apr - 2025
• Instructor: Zahra Ahmadi Firouz Jaee
• Target Audience: Individuals preparing for the Microsoft Azure AI (AI-900) exam
• Prerequisites: Basic understanding of AI and machine learning concepts

Curriculum Highlights

• Key Topics Covered:
  • Describe Artificial Intelligence workloads and considerations (15–20%)
  • Describe fundamental principles of machine learning on Azure (15–20%)
  • Describe features of computer vision workloads on Azure (15–20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
  • Describe features of generative AI workloads on Azure (20–25%)
• Key Skills Learned:
  • Identify features of common AI workloads
  • Identify guiding principles for responsible AI
  • Identify common machine learning techniques
  • Describe core machine learning concepts
  • 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
  • Identify features of generative AI solutions
  • Identify generative AI services and capabilities in Microsoft Azure

Course Format

• Duration: 2 practice tests
• Format: Self-paced online course
• Resources: Access on mobile