Getting Started with AWS Machine Learning

所在平台: CourseraArchive

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课程主页: https://www.coursera.org/archive/aws-machine-learning

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课程大纲

Introduction to Machine Learning
Machine Learning Pipeline
Amazon AI Services: Computer Vision
Amazon AI Services: NLP
Introduction to Amazon SageMaker

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Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career. This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.

AWS机器学习入门:机器学习(ML)是技术发展最快的领域之一,并且是当今就业市场上备受追捧的技能组合。世界经济论坛(World Economic Forum)指出,人工智能(AI)的增长将在未来几年内创造5800万个净新职位,但是据估计,目前全球有30万名AI工程师,但还需要数百万。这意味着无论您的技术水平如何,您都有一个独特而直接的机会开始学习用于构建AI应用程序的基本ML概念。现在学习ML的基础,将帮助您跟上这种增长的步伐,扩展技能,甚至帮助您发展事业。 本课程将教您如何开始使用AWS Machine Learning。关键主题包括:AWS上的机器学习,AWS上的计算机视觉和AWS上的自然语言处理(NLP)。每个主题均包含几个模块,这些模块深入划分了各种ML概念,AWS服务以及专家的见解,以将这些概念付诸实践。

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