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Applying Machine Learning and AI Services on AWS

Learn practical applications of AWS machine learning and Artificial Intelligence services using a blend of learning material and hands-on labs.
Difficulty: Intermediate
Duration: Up to 6 hours and 41 minutes
Students: 2,083
Rating: 4.7/5
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8 steps
There are 5 Courses in this learning path
There are 2 Hands-on Labs in this learning path
There is 1 Exam in this learning path
COURSE
Beginner
Duration: 2 minutes and 34 seconds
Introduction to Applying Machine Learning and AI services on AWS Course
This lesson provides a quick introduction to the "Applying Machine Learning and AI services on AWS” Course.
COURSE
Intermediate
Duration: 1 hour and 26 minutes
Working with Distributed Machine Learning
This lesson covers Distributed Machine Learning, Apache Spark, Amazon Elastic Map Reduce, Spark MLib, and AWS Glue.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 40 minutes
TensorFlow Machine Learning on the Amazon Deep Learning AMI
Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.
COURSE
Beginner
Duration: 1 hour and 11 minutes
Introduction to Amazon Rekognition
In this lesson, you'll learn about Amazon Rekognition, a service that enables you to easily and quickly integrate computer vision features directly into your own applications.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Automate Image Labeling with Amazon Rekognition
Learn how to implement object detection on every new image uploaded on Amazon S3.
COURSE
Intermediate
Duration: 49 minutes and 27 seconds
Working with Amazon Lex - Chatbots
In this lesson, you'll learn about the key features and components of Amazon Lex, and how to develop, configure, and build an end-to-end Chatbot using the Lex service.
COURSE
Beginner
Duration: 2 minutes
Review for Applying Machine Learning and AI services on AWS Course
This lesson provides a quick review and summary of what was learned during the "Applying Machine Learning and AI services on AWS” Course.
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