This course provides a clear understanding of core AI concepts, Microsoft Azure AI services, and the essential strategies behind responsible and effective AI implementation. Learners will gain foundational knowledge that is increasingly valuable across technology, business, and data-driven roles.
Microsoft Azure AI Fundamentals AI-900 Exam Guide
您将学到什么
Discover and apply various AI workloads and services in Azure.
Understand Microsoft's principles for responsible AI development.
Explore the fundamentals of AI and machine learning in practical scenarios.
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最近已更新！
February 2026
作业
11 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有11个模块
In this section, we explore key features of Azure AI workloads, including data monitoring, content moderation, computer vision, and NLP, emphasizing their practical applications in business solutions.
涵盖的内容
2个视频4篇阅读材料1个作业
In this section, we cover key considerations for responsible AI development, including accountability, inclusiveness, and reliability.
涵盖的内容
1个视频2篇阅读材料1个作业
In this section, we explore regression, classification, and clustering machine learning techniques, focusing on their practical applications and evaluation metrics for data analysis and prediction.
涵盖的内容
1个视频7篇阅读材料1个作业
In this section, we explore features, labels, and data preparation in machine learning, focusing on training and validation datasets and their roles in model development.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore Azure ML capabilities, including AutoML, data services, and model deployment.
涵盖的内容
1个视频5篇阅读材料1个作业
In this section, we cover computer vision solutions, including image, object, and facial analysis features.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore Azure AI Vision, Face, and Video Indexer services for image analysis, facial recognition, and video insights, emphasizing their pre-built and customizable machine learning capabilities.
涵盖的内容
1个视频2篇阅读材料1个作业
In this section, we explore NLP workload features like key phrase extraction, entity recognition, and sentiment analysis with practical applications.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore Azure AI services for NLP tasks, focusing on language analysis, speech processing, and translation capabilities to support application development with text, speech, and multilingual content.
涵盖的内容
1个视频1篇阅读材料1个作业
In this section, we cover Generative AI features, ethical considerations, and real-world applications.
涵盖的内容
1个视频5篇阅读材料1个作业
In this section, we cover Azure OpenAI Service's natural language, code, and image generation capabilities for AI applications in Azure.
涵盖的内容
1个视频2篇阅读材料1个作业
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