AI-900: Microsoft Azure AI Fundamentals Video Course + السؤال
Should you take AI-900 Exam?
Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. وبالتالي, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.
The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. وبالتالي, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. بالاضافة, there is no requirement for software engineering or data science experience for the AI-900 certification exam.
The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.
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What includes in this course?
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8+ ساعة. of content, اختبار الممارسة, الإختبارات, إلخ.
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PPT, Demo resources, and other study material
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وصول كامل مدى الحياة
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Certificate of course completion
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30-days Money-Back Guarantee
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This course has more than enough practice questions to get you to prepare for the exam.
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Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.
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Exam Format and Information
اسم الامتحان Exam AI-900: أساسيات Microsoft Azure AI
مدة الامتحان 60 الدقائق
نوع الامتحان Multiple Choice Examination
عدد الأسئلة 40 – 60 الأسئلة
Exam Fee $99
Eligibility/Pre-requisite لا شيء
Exam validity 1 عام
Exam Languages الإنجليزية, اليابانية, الكورية, والصينية المبسطة
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The AI-900 exam covers the following topics:
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وصف أعباء العمل والاعتبارات الخاصة بالذكاء الاصطناعي (15-20%)
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وصف المبادئ الأساسية للتعلم الآلي على Azure (30-35%)
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وصف ميزات أعباء عمل رؤية الكمبيوتر على Azure (15-20%)
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وصف ميزات معالجة اللغة الطبيعية (البرمجة اللغوية العصبية) أحمال العمل على Azure (15-20%)
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وصف ميزات أعباء عمل AI للمحادثة على Azure (15-20%)
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Exam Topics in detail
اِختِصاص 1: Describing AI workloads and considerations
The subtopics in this domain include,
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Identification of features in common AI workloads
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Identification of guiding principles for responsible AI
اِختِصاص 2: Describing fundamental principles of machine learning on Azure
The subtopics in this domain include,
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Identification of common machine learning variants
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Description of core machine learning concepts
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Identification of core risks in the creation of a machine learning solution
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Description of capabilities of no-code machine learning with Azure Machine Learning
اِختِصاص 3: Description of features in computer vision workloads on Azure
The subtopics in this domain include,
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Identification of common types of computer vision solutions
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Identification of Azure tools and services for computer vision tasks
اِختِصاص 4: Describing features of Natural Language Processing (البرمجة اللغوية العصبية) أحمال العمل على Azure
The subtopics in this domain are as follows,
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Identification of features in common NLP workload scenarios
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Identifying Azure tools and services for NLP workloads
اِختِصاص 5: Description of features of conversational AI workloads on Azure
The subtopics in this domain include,
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Identification of common use cases for conversational AI
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Identifying Azure services for conversational AI
تعلم سعيد!!
Eshant Garg
إضافة تعليق
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