Key Features of the Course

2 Full-Length practice Exams (100+ Unique Practice Questions)
Domain-focused Section Tests (30+ Unique Practice Questions)
Detailed explanations with every question & answer
Reports to assess strengths & weaknesses
6+ hours of training videos for all exam syllabus (100% Domains Covered)
30+ Hands-on lab exercises with step-by-step explanations on Azure console

AI-900 Exam Preparation Time and Difficulty Level

The AI-900: Microsoft Azure AI Fundamentals exam is one of the most beginner-friendly Microsoft certifications. You do not need a technical background to pass it. Most candidates clear it with 2 to 4 weeks of focused preparation.

The exam suits both technical and non-technical professionals
Beginners can pass with 2 weeks of daily study
Those with no cloud experience may need up to 4 weeks
Whizlabs practice tests and labs cut down your preparation time significantly

How This Course Helps You Pass the AI-900 Exam

We built the AI-900: Microsoft Azure AI Fundamentals course to cover every topic in the exam. Each section follows a clear, modular structure. You can learn at your own pace without feeling overwhelmed.
The AI-900 practice tests mirror the real exam format. They help you walk into the exam feeling ready and confident.
We also provide support from subject matter experts to all candidates.
The hands-on labs and sandboxes are perfect for practical learning and gaining hands-on experience.

What Skills Does the AI-900 Exam Test?

The AI-900: Microsoft Azure AI Fundamentals exam measures your knowledge of the following key areas:

Artificial Intelligence workloads and considerations

Features of common AI workloads
Guiding principles for responsible AI

Azure Machine Learning Fundamental Principles

Common machine learning scenarios on Azure
Core principles of machine learning
Azure Machine Learning capabilities

Features of Computer Vision workloads on Azure

Common types of computer vision solutions
Azure tools and services for computer vision tasks

Features of Natural Language Processing (NLP) workloads on Azure

Features of common NLP Workload Scenarios
Azure tools and services for NLP workloads

Features of generative AI workloads on Azure

Features of generative AI solutions
Azure OpenAI Service capabilities

Skills You Need for the AI-900 Exam

Cloud Basics: If you know how cloud services work, it gives you a head start in understanding Azure AI tools.
Programming Awareness: There is no coding involved to learn this course. But knowing basic programming concepts helps you understand AI concepts faster.
Computer Literacy: You should feel comfortable using a computer. This helps you navigate the Azure console with ease.
English Proficiency: The exam is in English. A basic understanding of the language is all you need.

Target Audience for the AI-900 Exam

The AI-900: Microsoft Azure AI Fundamentals exam is open to everyone. You do not need years of experience to start. Both technical and non-technical professionals can benefit from this certification.

Technical Roles: Data Scientists, Software Engineers, Cloud Architects, Machine Learning Engineer
Non-Technical Roles: Business Analysts, Project Managers, IT Decision-Makers

How AI-900 Certification Boosts Your Career

The AI-900 certification gives you a solid introduction to Azure ML and AI. It is the perfect starting point for beginners.
Organizations are rapidly adopting Azure AI and ML solutions. Earning this certification validates your expertise and boosts your career.
The Microsoft Azure AI Fundamentals certification sets you up for bigger Azure certifications. It opens long-term career paths in data science, software engineering, and cloud computing.

AI-900 Exam Format and Details

Before you start preparing for the AI-900: Microsoft Azure AI Fundamentals exam, it helps to know what to expect. Here is a quick look at the exam details.

Certification	Microsoft Certified: Azure AI Fundamentals
Exam Code	AI-900
Prior Certification	None required
Exam Validity	Microsoft certifications remain valid until technology updates require renewal
Exam Fee	$99 USD (plus applicable taxes)
Exam Duration	60 minutes
No. of Questions	Approximately 40–60 questions
Passing Score	700 out of 1000
Recommended Experience	Basic understanding of AI and ML concepts
Exam Format	Multiple Choice, Multiple Select, Drag and Drop
Languages	English, Japanese, Chinese, Korean, German, French, Spanish and more