एआई-900: Microsoft Azure AI Fundamentals Video Course + सवाल
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. इसलिए, 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. इसलिए, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. इसके साथ - साथ, 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+ घंटे. of content, अभ्यास परीक्षण, लेकिन वह अपने छात्रों को एक सकारात्मक और स्वीकार्य दृष्टिकोण के साथ एक मजबूत कैरियर की नींव देने में निवेशित है, आदि.
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पीपीटी, Demo resources, and other study material
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पूर्ण जीवनकाल पहुंच
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पाठ्यक्रम पूरा होने का प्रमाण पत्र
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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
परीक्षा का नाम Exam AI-900: Microsoft Azure AI फंडामेंटल
Exam Duration 60 त्वरित एनएफटी डिजाइन
परीक्षा का प्रकार Multiple Choice Examination
प्रश्नों की संख्या 40 – 60 प्रशन
Exam Fee $99
Eligibility/Pre-requisite कोई भी नहीं
Exam validity 1 वर्ष
Exam Languages अंग्रेज़ी, जापानी, कोरियाई, and Simplified Chinese
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AI-900 परीक्षा में निम्नलिखित विषय शामिल हैं::
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एआई वर्कलोड और विचारों का वर्णन करें (15-20%)
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Azure पर मशीन लर्निंग के मूलभूत सिद्धांतों का वर्णन करें (30-35%)
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Azure पर कंप्यूटर विज़न वर्कलोड की विशेषताओं का वर्णन करें (15-20%)
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प्राकृतिक भाषा प्रसंस्करण की विशेषताओं का वर्णन करें (एनएलपी) Azure पर कार्यभार (15-20%)
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Azure पर संवादी AI वर्कलोड की विशेषताओं का वर्णन करें (15-20%)
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Exam Topics in detail
कार्यक्षेत्र 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
कार्यक्षेत्र 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
कार्यक्षेत्र 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
कार्यक्षेत्र 4: Describing features of Natural Language Processing (एनएलपी) Azure पर कार्यभार
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
कार्यक्षेत्र 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
हैप्पी लर्निंग!!
Eshant Garg
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