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This comprehensive learning path is designed to help you prepare for the AI-900: Microsoft Certified: Azure AI Fundamentals certification exam. Featuring full-length mock tests with various questions, this course ensures you're well-prepared to face the real exam with confidence.

As part of Microsoft’s role-based certification program, candidates who pass the AI-900 exam will earn the certificate Microsoft Certified: Azure AI Fundamentals. This exam tests your ability to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.

Our practice exams are designed to align with the official AI-900 exam blueprint, providing detailed assessments of your knowledge and skills. These mock tests will enable you to test your readiness, identify knowledge gaps, and build the confidence to pass the AI-900 certification exam on the first attempt. Kickstart your journey with Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate.

AI-900 Exam Objectives

• Describe Artificial Intelligence workloads and considerations (15–20%)

• Describe fundamental principles of machine learning on Azure (20–25%)

• 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 (15–20%)

Azure  Azure AI Fundamentals Exam Summary:

Exam Name: Microsoft Certified: Azure AI Fundamentals

Exam Code: AI-900

Cost: $99 USD*

Number of Questions: 45–60

Duration: 120 Minutes

Passing Score Required: 700/1000

Important Topics covered in the Questionaire:

• Identify features of common AI workloads
• Identify guiding principles for responsible AI
• Identify common machine learning techniques
• Describe core machine learning concepts
• Describe Azure Machine Learning capabilities
• Identify common types of computer vision solution
• 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 capabilities of Azure OpenAI Service

Pre-requisites:

• No formal prerequisites for the AI-900 exam.
• Recommended to have basic knowledge of cloud computing concepts.
• Familiarity with AI principles and machine learning is helpful.
• Understanding of Azure services, including Cognitive Services and Azure Machine Learning.
• General IT knowledge of data storage, networking, and security can aid in preparation.
• The exam is beginner-friendly, and suitable for those new to AI and Azure technologies.

Focal Points  of Course :

• The course is completely up-to-date with the latest changes released by Microsoft for AI 900
• The course covers 100% of the exam syllabus
• Q&A Responses within 24 hours
• Instructor expertise in Microsoft Certifications
• Updated Microsoft reference links
• Unlimited Access for 2 Years

Who this course is for:

• Aspiring AI Engineers aiming to deepen their understanding and skills in designing and implementing AI solutions on Microsoft Azure.
• Professionals preparing for the AI-900 exam, seeking comprehensive practice and real-world scenario-based questions to pass the certification.
• Developers interested in integrating AI models and services into their applications using Azure Cognitive Services and Azure Machine Learning.
• IT Professionals looking to expand their expertise in AI, machine learning, and cloud-based AI technologies on the Azure platform.