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Microsoft AI-900, also known as Microsoft Azure AI Fundamentals, is a certification exam that aims to test an individual's knowledge of artificial intelligence (AI) concepts and how they can be applied to Microsoft Azure. AI-900J exam covers a range of topics, including machine learning, natural language processing, computer vision, and cognitive services. Microsoft Azure AI Fundamentals (AI-900日本語版) certification is designed for professionals who are looking to understand the basics of AI and how it can be used to solve business problems.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
Microsoft AI-900: Microsoft Azure AI Fundamentals is an excellent starting point for individuals who want to explore the world of AI and its implementation on Azure. AI-900J exam tests individuals' knowledge on AI concepts, machine learning algorithms, and data processing techniques. AI-900J exam is suitable for individuals who want to start a career in AI, IT professionals, and individuals who want to expand their knowledge on AI and Azure. With the right preparation, individuals can pass the exam and showcase their skills and expertise in AI and Azure.
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Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Describe Azure capabilities for NLP - Identify Azure AI services for NLP - Identify common NLP tasks |
| Describe features of computer vision workloads on Azure | 15-20% | - Identify Azure AI services for computer vision - Identify common computer vision tasks - Describe Azure capabilities for computer vision |
| Describe fundamental principles of machine learning on Azure | 30-35% | - Describe core machine learning concepts - Identify common machine learning tasks - Describe features of no-code automated ML - Describe Azure Machine Learning capabilities |
| Describe AI workloads and considerations | 15-20% | - Identify guiding principles for responsible AI - Identify features of common AI workloads |
| Describe features of Generative AI workloads on Azure | 15-20% | - Describe Azure OpenAI Service capabilities - Describe generative AI concepts - Identify responsible AI considerations for generative AI |
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