In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.
Introduction to Machine Learning on AWS
Introduction to Machine Learning on AWS
Instructor: Russell Sayers
30,567 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.5
(135 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 6 hours
Learn at your own pace
Earn a Certificate
With paid plans
What you'll learn
Differentiate between artificial intelligence (AI), machine learning, and deep learning.
Select the appropriate AWS machine learning service for a given use case.
Discover how to build, train, and deploy machine learning models.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 2 modules in this course
Week 1 of this course introduces you to some artificial intelligence and machine learning terms. Then, you explore AWS machine learning services for computer vision, data extraction and analysis, and language processing.
What's included
11 videos6 readings1 assignment2 plugins
In week 2 of this course, you explore AWS machine learning services for speech recognition, language translation, and virtual agents.
What's included
10 videos4 readings1 assignment1 plugin
Instructor
Instructor ratings
4.6 (44 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.5
135 reviews
- 5 stars
68.14%
- 4 stars
20.74%
- 3 stars
5.92%
- 2 stars
2.22%
- 1 star
2.96%
Showing 3 of 135
FG
5
Reviewed on May 28, 2023
Good for a quick and high level understanding of the AWS ML Services.
AM
5
Reviewed on Jun 24, 2023
now im able to understand the basics of AWS & ML
NP
5
Reviewed on May 26, 2023
It's a excellent course to learn the basics of applied machine learning on AWS.
Get access to all these courses and more with a subscription
Career resources
Unlock access to 10,000+ courses with a subscription
Explore roles and skills, learn more effectively with Coursera Coach, and earn recognized credentials
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.
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.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
More questions
Financial aid available,