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.
Offered By


Introduction to Machine Learning on AWS
Amazon Web ServicesAbout this Course
Prior application development experience
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Artificial Intelligence (AI)
- machine learning models
- Machine Learning
- Deep Learning
Prior application development experience
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Week 1
Week 2
Reviews
- 5 stars45.45%
- 4 stars45.45%
- 3 stars4.54%
- 2 stars4.54%
TOP REVIEWS FROM INTRODUCTION TO MACHINE LEARNING ON AWS
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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.