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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/computer-vision-microsoft-azure
课程评论：没有评论
课程总结：计算机视觉与微软Azure 本课程《计算机视觉在微软Azure中》旨在帮助学员了解微软Azure中计算机视觉认知服务的应用。该服务利用预训练模型分析图像，使软件开发人员能够轻松构建能够“看见”世界并理解其含义的应用程序。这种图像处理能力是模拟人类视觉感知的关键。 本课程为准备参加AI-900微软Azure AI基础知识认证考试的学员提供支持。它是五门课程中的第三门，教授与考试相关的核心概念和技能。该课程适合初学者，尤其是刚刚开始使用微软Azure的IT人员，希望了解相关产品并获得实践经验。 本课程面向具有技术和非技术背景的候选人，尽管不要求具备数据科学和软件工程的经验，但拥有一般编程知识或经验将更有助于学习。学员需具备基本的计算机使用能力和英语语言能力，并熟悉基础计算机概念及技术术语，包括机器学习和人工智能的基本概念。 课程大纲包括以下模块： 1. **使用计算机视觉服务分析和分类图像**：学习计算机视觉服务的各种功能，掌握图像分析的基本技能。 2. **通过自定义视觉服务检测图像中的对象**：学习如何利用机器学习的预测能力，帮助AI系统根据图像识别现实世界中的物品。 3. **利用Azure AI分析人脸、文本和收据**：了解人脸识别、文本识别（OCR）以及如何使用这些服务解决业务中的数据提取挑战，与自动化处理发票和收据等场景的应用。 此课程不仅为希望了解微软Azure的初学者提供了良好的基础，也有助于准备其他与Azure相关的角色认证。
Name:Analyze and Classify Images with the Computer Vision Service
Description:The Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications. In this module, you'll explore some of its capabilities as you learn how to use the Computer Vision service to analyze images.
Name:Detect objects in images with the Custom Vision service
Description:Image classification is a common workload in artificial intelligence (AI) applications. In this module, you will learn how to harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.
Name:Analyze Faces, Text, and Receipts with Azure AI
Description:Face detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications. Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text. Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts. In this module, you will learn how you can use a mix of these services in Microsoft Azure to solve problems.
In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the third course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.
