product
925224AI-900: Microsoft Azure AI Fundamentals Technology Workbookhttps://www.gandhi.com.mx/ai-900-microsoft-azure-ai-fundamentals-technology-workbook-1/phttps://gandhi.vtexassets.com/arquivos/ids/865898/9080ae89-ee73-4a4d-9869-2b80b2abd2d9.jpg?v=63833653799060000010251025MXNIP SpecialistInStock/Ebooks/<p><strong>About Microsoft Certified: Microsoft Azure AI Fundamentals</strong></p><ul><li><strong>Exam Questions:</strong> Case study, short answer, repeated answer, MCQs</li><li><strong>Number of Questions:</strong> 80-100</li><li><strong>Time to Complete:</strong> 150 minutes</li><li><strong>Exam Fee:</strong> 165 USD</li></ul><p>The Microsoft Certified: Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.</p><p>This exam measures your ability to accomplish the following technical tasks:</p><ul><li>Describe AI workloads and considerations (15-20)</li><li>Describe fundamental principles of machine learning on Azure (30-35)</li><li>Describe features of computer vision workloads on Azure (15-20)</li><li>Describe features of Natural Language Processing (NLP) workloads on Azure (15-20)</li><li>Describe features of conversational AI workloads on Azure (15-20)</li></ul><p><strong>Recommended Knowledge</strong></p><ul><li>Identify features for common AI workloads</li><li>Identify guiding principle for responsible AI</li><li>Identify common machine learning types</li><li>Describe core machine learning concepts</li><li>Identify core tasks in creating a machine learning solution</li><li>Describe capabilities of no-code machine learning with Azure machine learning studio</li><li>Identify common types of computer vision solution</li><li>Identify Azure tools and services for computer vision task</li><li>Identify features of common NLP workload scenarios</li><li>Identify Azure tools and services for NLP workloads</li><li>Identify common use cases for conversational AI</li><li>Identify Azure service for conversational AI</li></ul>...920638AI-900: Microsoft Azure AI Fundamentals Technology Workbook10251025https://www.gandhi.com.mx/ai-900-microsoft-azure-ai-fundamentals-technology-workbook-1/phttps://gandhi.vtexassets.com/arquivos/ids/865898/9080ae89-ee73-4a4d-9869-2b80b2abd2d9.jpg?v=638336537990600000InStockMXN99999DIEbook20211230004849377_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_<p><strong>About Microsoft Certified: Microsoft Azure AI Fundamentals</strong></p><ul><li><strong>Exam Questions:</strong> Case study, short answer, repeated answer, MCQs</li><li><strong>Number of Questions:</strong> 80-100</li><li><strong>Time to Complete:</strong> 150 minutes</li><li><strong>Exam Fee:</strong> 165 USD</li></ul><p>The Microsoft Certified: Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.</p><p>This exam measures your ability to accomplish the following technical tasks:</p><ul><li>Describe AI workloads and considerations (15-20)</li><li>Describe fundamental principles of machine learning on Azure (30-35)</li><li>Describe features of computer vision workloads on Azure (15-20)</li><li>Describe features of Natural Language Processing (NLP) workloads on Azure (15-20)</li><li>Describe features of conversational AI workloads on Azure (15-20)</li></ul><p><strong>Recommended Knowledge</strong></p><ul><li>Identify features for common AI workloads</li><li>Identify guiding principle for responsible AI</li><li>Identify common machine learning types</li><li>Describe core machine learning concepts</li><li>Identify core tasks in creating a machine learning solution</li><li>Describe capabilities of no-code machine learning with Azure machine learning studio</li><li>Identify common types of computer vision solution</li><li>Identify Azure tools and services for computer vision task</li><li>Identify features of common NLP workload scenarios</li><li>Identify Azure tools and services for NLP workloads</li><li>Identify common use cases for conversational AI</li><li>Identify Azure service for conversational AI</li></ul>(*_*)1230004849377_<p><strong>About Microsoft Certified: Microsoft Azure AI Fundamentals</strong></p><ul><li><strong>Exam Questions:</strong> Case study, short answer, repeated answer, MCQs</li><li><strong>Number of Questions:</strong> 80-100</li><li><strong>Time to Complete:</strong> 150 minutes</li><li><strong>Exam Fee:</strong> 165 USD</li></ul><p>The Microsoft Certified: Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.</p><p>This exam measures your ability to accomplish the following technical tasks:</p><ul><li>Describe AI workloads and considerations (15-20)</li><li>Describe fundamental principles of machine learning on Azure (30-35)</li><li>Describe features of computer vision workloads on Azure (15-20)</li><li>Describe features of Natural Language Processing (NLP) workloads on Azure (15-20)</li><li>Describe features of conversational AI workloads on Azure (15-20)</li></ul><p><strong>Recommended Knowledge</strong></p><ul><li>Identify features for common AI workloads</li><li>Identify guiding principle for responsible AI</li><li>Identify common machine learning types</li><li>Describe core machine learning concepts</li><li>Identify core tasks in creating a machine learning solution</li><li>Describe capabilities of no-code machine learning with Azure machine learning studio</li><li>Identify common types of computer vision solution</li><li>Identify Azure tools and services for computer vision task</li><li>Identify features of common NLP workload scenarios</li><li>Identify Azure tools and services for NLP workloads</li><li>Identify common use cases for conversational AI</li><li>Identify Azure service for conversational AI</li></ul>...1230004849377_IP Specialistlibro_electonico_ab75a5e0-e9e0-3403-a622-968dd4e15c06_1230004849377;1230004849377_1230004849377IP SpecialistInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/ce62b4c0-22fe-4099-a5bb-74075884e619-epub-37d02e3e-57a5-49f6-a34a-56dbc5ba5b97.epub2021-06-14T00:00:00+00:00IP Specialist