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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 30 minutes
Students: 2,223
Rating: 4.7/5
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Content overview

6 steps
There are 3 Courses in this learning path
There are 2 Hands-on Labs in this learning path
There is 1 Exam in this learning path
Difficulty: Intermediate. Duration: 1h 26m.
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.
Difficulty: Intermediate. Duration: Up to 1h 40m.
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.
Difficulty: Beginner. Duration: 52m 57s.
COURSE
Beginner
Duration: 52 minutes and 57 seconds
Working With Amazon Rekognition for Video and Image Analysis
This lesson looks at Amazon Rekognition, a service that uses generative AI to analyze images and videos.
Difficulty: Beginner. Duration: Up to 1h.
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.
Difficulty: Beginner. Duration: 1h 1m.
COURSE
Beginner
Duration: 1 hour and 1 minute
Using Amazon Lex to Create Conversational AI Interfaces
Welcome to Using Amazon Lex to Create Conversational AI Interfaces.
Duration: Up to 30m.
EXAM
Duration: Up to 30 minutes
Final Exam: Applying Machine Learning and AI Services on AWS
Final Exam: Applying Machine Learning and AI Services on AWS