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6,218 ratings

Blaine Sundrud

Top Instructor

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Getting Started with AWS Machine Learning

Amazon Web Services

About this Course

38,402 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own 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 Learning
Amazon SageMaker
Natural Language Processing (NLP)
Computer Vision

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 9 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructor

Instructor rating

4.53/5 (1,809 Ratings)

Blaine Sundrud
Top Instructor

Senior Technical Trainer

AWS Training and Certification

453,262 Learners

5 Courses

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.

Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.

Syllabus - What you will learn from this course

Content Rating94%(9,893 ratings)

Week

Week 1

2 hours to complete

Introduction to Machine Learning

2 hours to complete

5 videos (Total 73 min), 1 reading, 1 quiz

Week

Week 2

1 hour to complete

Machine Learning Pipeline

1 hour to complete

1 video (Total 60 min), 1 reading, 1 quiz

Week

Week 3

1 hour to complete

Amazon AI Services: Computer Vision

1 hour to complete

4 videos (Total 58 min)

Week

Week 4

1 hour to complete

Amazon AI Services: NLP

1 hour to complete

5 videos (Total 73 min)

Reviews

4.5

1482 reviews

5 stars
67.35%
4 stars
23.61%
3 stars
6.23%
2 stars
1.43%
1 star
1.35%

TOP REVIEWS FROM GETTING STARTED WITH AWS MACHINE LEARNING

by SJul 23, 2021

It was an amazing experience for me. Every lectures are interesting & very helpful for me. I can understood everything in detail easily. Thank you AWS for teaching me this amazing course.

by PWDec 14, 2020

I like this course.. AWS Machine Learning course is fundamentals of AWS. Thank you so much Coursera. Coursera is a good platform to giving this opportunity. I have learn more then expectation.

by VZMay 12, 2020

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.

by KHMay 25, 2021

This is my first course in Coursera. Great to study the course. This course is designed wonderfully and the instructors explained the concept well. I would like to do some more courses.

View all reviews

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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.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

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Getting Started with AWS Machine Learning

Getting Started with AWS Machine Learning