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Microsoft Certified Fundamentals
Microsoft Azure AI Fundamentals (AI-900)
This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. It is intended for candidates with both technical and non-technical backgrounds.
Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
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Exam Name
AI-900: Microsoft Azure AI Fundamentals
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Delivery
Exam Length
Pass Mark
No. of Questions
Question Type
Flexible, Online Hybrid
60 mins
700/1000
32-43
Single/Multiple Choice, Drag-and-Drop, Sequencing, Matching, Scenario-Based Application Questions
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Global recognition:
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Exam Objectives
This exam is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this exam, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.
This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:
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Basic cloud concepts
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Client-server applications
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
1. Describe Artificial Intelligence workloads and
considerations (15–20%)
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Identify features of common AI workloads
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Identify guiding principles for responsible AI
2. Describe fundamental principles of machine learning on
Azure (20–25%)
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Identify common machine learning techniques
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Describe core machine learning concepts
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Describe Azure Machine Learning capabilities
3. Describe features of computer vision workloads on Azure
(15–20%)
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Identify common types of computer vision solution
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Identify Azure tools and services for computer vision tasks
4. Describe features of Natural Language Processing (NLP)
workloads on Azure (15–20%)
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Identify features of common NLP Workload Scenarios
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Identify Azure tools and services for NLP workloads
5. Describe features of generative AI workloads on Azure
(15–20%)
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Identify features of generative AI solutions
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Identify capabilities of Azure OpenAI Service
Your Certify Journey
Through 101Academy’s full pathway solution you can prepare your students for the MOS certification with tailored learning materials, practice tests, and a performance-based certification exams officially endorsed by Microsoft. Adding these materials into your curriculum is easy and seamless.
1.
Learn: Follow a tailored Learning Path that meets your goals.
2.
Practice: Work on test paper and mock paper to build practical skills.
3.
Certify: Successfully pass the exam to earn an official electronic certificate and a distinguished digital badge.
Electronic Certificate Sample
Digital Badge
In the job market, employers can validate the manufacturer-endorsed competencies of employees or candidates through internationally accredited digital badges issued by Credly.
Related Products
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WHAT DO I NEED FOR THE COURSE?Students need to bring a laptop (Windows or Mac) with Minecraft installed (downloaded from www.minecraft.net). Students also need a Minecraft account which can be purchased online from Minecraft website or via a redemption card purchased from convenience stores.
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WHAT DO I NEED TO KNOW ABOUT THE ONLINE TEACHING?** Using 2 devices in class is recommended (Laptop/Desktop computer with Chrome installed for practice, phone/tablet for video conference) ** Students will be asked to switch on camera and mic during the online class ** Online classes may be recorded for internal use such as quality assurance and training purpose
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