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    AI-900: Microsoft Azure AI Fundamentals Video Course + Ques

    Posted By: ELK1nG
    AI-900: Microsoft Azure AI Fundamentals Video Course + Ques

    AI-900: Microsoft Azure AI Fundamentals Video Course + Ques
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.84 GB | Duration: 9h 4m

    AI-900 Exam: Microsoft Azure AI Fundamentals || 8+ hours of videos || 100% Syllabus || 2 Practice Tests || PPTs || Demos

    What you'll learn
    Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
    Common ML and AI workloads and how to implement them on Azure.
    AI workloads and considerations: AI-900 Exam
    Principles of machine learning on Azure: AI-900 Exam
    Computer vision workloads on Azure: AI-900 Exam
    Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
    Conversational AI workloads on Azure: AI-900 Exam
    Requirements
    No prerequisite for this course
    Candidates with both technical and non-technical backgrounds can attend this course
    Description
    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. Therefore, 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. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, 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.

    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

    What includes in this course?

    8+ hrs. of content, Practice test, quizzes, etc.

    PPT, Demo resources, and other study material

    Full lifetime access

    Certificate of course completion

    30-days Money-Back Guarantee

    This course has more than enough practice questions to get you to prepare for the exam.

    Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.

    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

    Exam Format and Information

    Exam Name Exam AI-900: Microsoft Azure AI Fundamentals

    Exam Duration 60 Minutes

    Exam Type Multiple Choice Examination

    Number of Questions 40 - 60 Questions

    Exam Fee $99

    Eligibility/Pre-requisite None

    Exam validity 1 year

    Exam Languages English, Japanese, Korean, and Simplified Chinese

    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

    The AI-900 exam covers the following topics

    Describe AI workloads and considerations (15-20%)

    Describe fundamental principles of machine learning on Azure (30-35%)

    Describe features of computer vision workloads on Azure (15-20%)

    Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)

    Describe features of conversational AI workloads on Azure (15-20%)

    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

    Exam Topics in detail

    Domain 1: Describing AI workloads and considerations

    The subtopics in this domain include,

    Identification of features in common AI workloads

    Identification of guiding principles for responsible AI

    Domain 2: Describing fundamental principles of machine learning on Azure

    The subtopics in this domain include,

    Identification of common machine learning variants

    Description of core machine learning concepts

    Identification of core risks in the creation of a machine learning solution

    Description of capabilities of no-code machine learning with Azure Machine Learning

    Domain 3: Description of features in computer vision workloads on Azure

    The subtopics in this domain include,

    Identification of common types of computer vision solutions

    Identification of Azure tools and services for computer vision tasks

    Domain 4: Describing features of Natural Language Processing (NLP) workloads on Azure

    The subtopics in this domain are as follows,

    Identification of features in common NLP workload scenarios

    Identifying Azure tools and services for NLP workloads

    Domain 5: Description of features of conversational AI workloads on Azure

    The subtopics in this domain include,

    Identification of common use cases for conversational AI

    Identifying Azure services for conversational AI

    Happy Learning!!

    Eshant Garg

    Who this course is for
    Those who are looking to give AI-900 Exam: Microsoft Azure AI Fundamentals
    Those who are interested in learning basics of Artificial Intelligence or Machine Learning