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.
Offered By
Getting Started with AWS Machine Learning
Amazon Web ServicesAbout this Course
70,756 recent views
Learner Career Outcomes
11%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 9 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
What you will learn
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.
Skills you will gain
Artificial Intelligence (AI)Machine LearningAmazon SageMakerNatural Language Processing (NLP)Computer Vision
Learner Career Outcomes
11%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 9 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
Amazon Web Services
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.
Syllabus - What you will learn from this course
2 hours to complete
Introduction to Machine Learning
2 hours to complete
5 videos (Total 73 min), 1 reading, 1 quiz
1 hour to complete
Machine Learning Pipeline
1 hour to complete
1 video (Total 60 min), 1 reading, 1 quiz
1 hour to complete
Amazon AI Services: Computer Vision
1 hour to complete
4 videos (Total 58 min)
1 hour to complete
Amazon AI Services: NLP
1 hour to complete
5 videos (Total 73 min)
Reviews
TOP REVIEWS FROM GETTING STARTED WITH AWS MACHINE LEARNING
by OBMay 27, 2020
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.
by VVJun 6, 2020
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.
by PBJan 11, 2021
It such an awesome course to learn fundamental of ML and AI how they work at Amazon and how to use them I really like my instructors they are so much expert in their fields and so much knowledgeable
by ANApr 12, 2020
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.
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