Getting Started with AWS Machine Learning

Amazon Web Services and Amazon via Coursera

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This course may be unavailable.

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Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

5 weeks
Sessions

Finished
Level

Intermediate
Subtitles

Arabic, French, Portuguese, Italian, German, Russian, English, Spanish

Found in

Overview

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.

Syllabus

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

Taught by

Blaine Sundrud

Reviews

3.7 rating, based on 13 Class Central reviews

4.5 rating at Coursera based on 6405 ratings

Start your review of Getting Started with AWS Machine Learning

CB Baguio @CBgo20

This is a mixed target course. In the first week, it introduces you to ML using AWS. But in the second and third week, there is an assumption that the intended audience for this course are developers who understand computer jargon and are looking for ML solutions.

There's a heavy marketing (hard sell) for AWS services and products. So I think this is basically an extended marketing program introducing a developer or programmer who is in the market for ML solutions to go with for their company.

It's worth something, but doesn't meet the need of someone who would like to understand ML in the generic sense instead of a branded service.
Anonymous

DNF Quote: "By the end of this course, you should be able to speak confidently about these categories of ML algorithms with your customers and help them determine the category that fits their problem." There is ZERO substance to the course. It's s…

DNF

Quote: "By the end of this course, you should be able to speak confidently about these categories of ML algorithms with your customers and help them determine the category that fits their problem."

There is ZERO substance to the course. It's stated goal is to teach you, how to sound like you know what you're talking about whilst being completely clueless.

And the instructors seem to be as well.

Again, a direct quote from the first video of the course, about 10 minutes in:

"With deep learning, the machine is provided lots of facial reference data upfront, and unlike traditional Machine Learning or AI, it isn't always told exactly what features to look for. It uses it's highly advanced data processing capabilities and neural networks to derive the important features it needs to look for from the data itself. Rather than the developers telling the machine ahead of time how to recognize specific, how to define things like facial hair, the machine simply looks for the common features that define all of the humans in this data, and looks for those in the things that it sees. In other words, the machine defines the essential features of its subject rather than the developer. **That's what distinguishes deep learning from the traditional machine learning.**" (emphasis mine)
Anonymous

It is a mashup of Amazon training videos. It starts with a introduction to concepts related to machine learning, continues with and explanation of a machine learning pipeline, and then the last 3 weeks are presentations of main AWS Machine Learning services: Rekognition, SageMaker, GroundTruth, etc.

It fulfills the objective of getting familiar with machine learning and which Amazon services choose if we want to implement a solution. It is a little bit difficult to follow because the course is not homogeneous: some videos have little detailed explanations, and others are detailed but confusing. The tests are not well designed: they have just 2 or 3 questions about some random points exposed.
Mustafa Ali

This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises, you'll learn skills
it's So much Excellent I Learn huge knowledge from this Platform, Thanks
Diego Hernández

It is a mashup of Amazon training videos. It starts with a introduction to concepts related to machine learning, continues with and explanation of a machine learning pipeline, and then the last 3 weeks are presentations of main AWS Machine Learning…

It is a mashup of Amazon training videos. It starts with a introduction to concepts related to machine learning, continues with and explanation of a machine learning pipeline, and then the last 3 weeks are presentations of main AWS Machine Learning services: Rekognition, SageMaker, GroundTruth, etc.

It fulfills the objective of getting familiar with machine learning and which Amazon services choose if we want to implement a certain solution. It is a little bit difficult to follow because the course is not homogeneous: some videos have very detailed explanations, and others are detailed but confusing. The tests are not well designed: they have just 2 or 3 questions about some random points exposed. Some of the videos are more spots than lessons.
Anonymous

Starting from week#3, course becomes a boring selling pamphlet. Would have expected to learn something useful in here by watching/doing/learning vs. taking step away from thinking. Watching non-engaging videos to upsell their technology becomes grating and dull.

Also, I couldn't find any information on how to set up free AWS account, that one would expect to accompany this program.

Got free certification option, but think that was too expensive.
Anonymous

Machine learning is one of the fastest growing technology and a highly sought after skillset in today's job market. The World Economic Forum states the growth of artificial intelligence could creat 58 million net new jobs in the next few years yet it's estimated that currently there are 300,000 AI engineer's worldwide ,but millions are needed . This course will teach you how to get started with AWS Machine learning.
Sneha Yadav

Its good to learn something new .
and well aws would b the best.
Thank u for providing these courses which would man us feel better and know more things about a subject.
Madhumitha M

As I learned this machine learning from artificial intelligence which is most relevant for careers so I'm taken up this course thank u very much for giving this course as free coaching
Vasanth G

This was very useful for me.
For development of my skills and everything

Thanks Coursera very much for this great
Completion of my certificate
Anonymous

I'm a beginner about this kind of topic so I start this course
Thank you for the opportunity to learn.
Hopefully I will use it and this for my entry-level job position. :)
Anonymous

This is a beginner stepping course for ML concepts. Good enough to start with. But more practice is needed to pass the exam.
Roshni Begum

It was good.very informative..Need this kind of courses more.It would be better if you split the long videos..