4.5
stars
6,404 ratings

Blaine Sundrud

Top Instructor

196,483 already enrolled

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Getting Started with AWS Machine Learning

Amazon Web Services

About this Course

23,717 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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 8 hours to complete

English

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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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 8 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.54/5 (1,832 Ratings)

Blaine Sundrud
Top Instructor

Senior Technical Trainer

AWS Training and Certification

492,309 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.

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Syllabus - What you will learn from this course

Content Rating94%(10,363 ratings)

Week1

Week 1

2 hours to complete

Introduction to Machine Learning

2 hours to complete

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

Week2

Week 2

1 hour to complete

Machine Learning Pipeline

1 hour to complete

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

Week3

Week 3

1 hour to complete

Amazon AI Services: Computer Vision

1 hour to complete

4 videos (Total 58 min)

Week4

Week 4

1 hour to complete

Amazon AI Services: NLP

1 hour to complete

5 videos (Total 73 min)

Reviews

4.5

1522 reviews

5 stars
67.36%
4 stars
23.61%
3 stars
6.19%
2 stars
1.46%
1 star
1.35%

TOP REVIEWS FROM GETTING STARTED WITH AWS MACHINE LEARNING

by PRJun 28, 2021

Coding part of this course should be more elaborated, beginners may face difficulty.

Except coding part everything is awesome ,specially theory knowledge given on machine learning in aws.

by SSDec 6, 2019

It's a practical easy to follow introductory course of AWS machine learning with Sagemaker. I'm looking forward to learning more about Sagemaker and get some practical experience.

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.

by RWDec 26, 2020

Thank you. I went from knowing very little about Machine Learning to having a much broader and deeper understanding of Machine Learning. As a introduction it was extremely useful.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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.
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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Getting Started with AWS Machine Learning

Getting Started with AWS Machine Learning

About this Course

What you will learn

Skills you will gain