- Promoted by: Anonymous
- Platform: Udemy
- Category: IT Certifications
- Language: English
- Instructor: Fatima Mjahed
- Duration:
- Student(s): 210
- Rate 3.5 Of 5 From 4 Votes
- Expires on: 2025/08/06
-
Price:
94.990
Prepare for the AI-900 exam with practice tests covering Azure AI, ML, and cognitive services basics.
Unlock your potential with a Free coupon code
for the "Microsoft Azure AI Fundamentals AI-900 Practice" course by Fatima Mjahed on Udemy.
This course, boasting a 3.5-star rating from 4 reviews
and with 210 enrolled students, provides comprehensive training in IT Certifications.
Spanning approximately
, this course is delivered in English
and we updated the information on August 02, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
This course is designed to help you prepare effectively for the Microsoft Azure AI Fundamentals (AI-900) certification exam. By using carefully structured practice tests, you will strengthen your knowledge of artificial intelligence (AI), machine learning (ML), and Azure cognitive services while building the confidence needed to pass the AI-900 exam on your first attempt.
The AI-900 certification validates foundational knowledge of AI concepts and how they are implemented in Microsoft Azure. It is ideal for students, beginners, and professionals who want to explore the field of artificial intelligence and understand how Azure provides solutions for AI workloads.
Exam Details
Duration: 60 minutes
Format: Multiple-choice and multiple-response questions
Passing Score: 700 (out of 1000)
Exam Languages: English (plus additional languages offered by Microsoft)
Through these practice tests, you will gain familiarity with the exam format, identify areas where you need improvement, and reinforce your knowledge of Azure AI services. Each question includes detailed explanations to help you understand the reasoning behind the correct answer.
Skills Measured by AI-900 Exam
Describe AI workloads and considerations – understanding machine learning types, responsible AI principles, and data fundamentals.
Describe fundamental principles of machine learning on Azure – supervised vs. unsupervised learning, features, labels, and model training.
Describe features of computer vision workloads on Azure – image classification, object detection, and face recognition services.
Describe features of Natural Language Processing (NLP) workloads on Azure – sentiment analysis, language understanding, and translation.
Describe features of conversational AI workloads on Azure – chatbots, QnA Maker, and Azure Bot Service.
By practicing with real exam-style questions, you will be better prepared to handle the time pressure, question style, and concepts tested on the exam.
This course is not just about memorization — it focuses on helping you understand the core AI concepts that are critical to your success in both the exam and real-world applications.