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Applying Machine Learning and AI Services on AWS

Intermediate
Up to 6h 41m
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Training content

5
2
1
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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Overview
This course demonstrates practical applications of AWS machine learning and Artificial Intelligence services using a blend of instructional learning and hands-on labs. At the conclusion of this course, you will be able to implement and experiment with Amazon Machine Learning platform and application services. 

Intended Audience
This course is suited to anyone interested in applying AWS Machine Learning and Artificial Intelligence platform and application services.

Learning Objectives
By completing this course you will be able to:

  • Explain and apply Amazon Machine Learning, Amazon Rekognition, Amazon Lex chatbots, AWS Deep Learning AMI's and Amazon Distributed Machine Learning services.
  • Explain and apply distributed machine learning with Apache Spark, Amazon EMR, Spark MLib, and AWS Glue.
  • Apply and build a TensorFlow machine learning model using the Amazon Deep Learning AMI. 
  • Automate image and video processing using the Amazon Rekognition API.

Prerequisites
Having an understanding of cloud concepts will help with your assimilation of this content. If you are new to cloud computing I suggest completing the Introduction to Machine Learning on AWS Course first. 

Content
This course includes 5 hours of High Definition video, 2 hands-on labs, quizzes and an assessment exam.

Feedback
We welcome all feedback so please direct any comments or questions on this course to us at support@cloudacademy.com 

Your certificate for this learning path

About the Author

Avatar
Jeremy Cook, opens in a new tab
Content Lead Architect
Students
160,689
Labs
82
Courses
106
Learning paths
214

Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

Covered Topics

Machine Learning
Artificial Intelligence
Amazon Web Services
Artificial Intelligence for AWS