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
28,028 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.5
(121 reviews)
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
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.
Details to know
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Assessments
2 assignments
Taught in English
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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
4.7 (41 ratings)Offered by
Recommended if you're interested in Cloud Computing
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4.5
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Showing 3 of 121
NP
5
Reviewed on May 26, 2023
It's a excellent course to learn the basics of applied machine learning on AWS.
TS
4
Reviewed on Mar 23, 2023
Nice intro to some of the ML products in AWS and starts to get you thinking how you might leverage them in your own projects. Exercises require some python but are not too taxing.
DL
4
Reviewed on Sep 15, 2024
More of a survey course than and immersive hands on course. Good for an Intro.
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