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.
Getting Started with AWS Machine Learning
亚马逊网络服务系统課程信息
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完成時間大約為8 小時
英語（English）
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您將學到的內容有
Key problems that Machine Learning can address and ultimately help solve.
How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.
How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.
Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers.
您將獲得的技能
Artificial Intelligence (AI)Machine LearningAmazon SageMakerNatural Language Processing (NLP)Computer Vision
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為8 小時
英語（English）
字幕：英語（English）
提供方
亚马逊网络服务系统
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
Introduction to Machine Learning
完成時間為 1 小時
5 個視頻 （總計 73 分鐘）
5 個視頻
What is Machine Learning?9分鐘
What is Deep Learning?13分鐘
Understanding Neural Networks7分鐘
Machine Learning Algorithms Explained24分鐘
1 個練習
Quiz 15分鐘
完成時間為 1 小時
Machine Learning Pipeline
完成時間為 1 小時
1 個視頻 （總計 60 分鐘）
1 個視頻
1 個練習
Quiz 25分鐘
完成時間為 1 小時
Amazon AI Services: Computer Vision
完成時間為 1 小時
4 個視頻 （總計 58 分鐘）
4 個視頻
Introduction to AWS DeepLens8分鐘
Hands-on Rekognition: Automated Video Editing15分鐘
Deep Dive on Amazon Rekognition26分鐘
1 個練習
Quiz 35分鐘
完成時間為 1 小時
Amazon AI Services: NLP
完成時間為 1 小時
5 個視頻 （總計 73 分鐘）
5 個視頻
Introduction to Amazon Comprehend Medical7分鐘
Introduction to Amazon Translate9分鐘
Introduction to Amazon Transcribe9分鐘
Deep Dive with Amazon Transcribe29分鐘
1 個練習
Quiz 45分鐘
審閱
來自GETTING STARTED WITH AWS MACHINE LEARNING的熱門評論
由 OB 提供2020年5月27日
Liked the course. Provided me with the various services provided by AWS, although I did not understand a few concepts since I am a complete novice at Machine Learning. Thanks you Amazon and Coursera.
由 VV 提供2020年6月6日
Demonstration is very fast and in week five one video is 70 minutes long. It can be divided in to several short videos. Seeing a long video is creating a boredom. Otherwise it is a very nice course.
由 AN 提供2020年4月12日
The course materials and lecture delivery was just one of a kind,I have learnt a complete skill on Machine Learning and its Algorithms.I hope this will lead me towards a next level of Data science.
由 VZ 提供2020年5月12日
Very good course to learn basics of Machine learning for beginners. Instructors are very knowledgeable. I got lot of learning and motivation to continue my learning in area of machine learning.
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- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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