This learning path 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 learning path, you will be able to implement and experiment with Amazon Machine Learning platform and application services.
This learning path is suited to anyone interested in applying AWS Machine Learning and Artificial Intelligence platform and application services.
By completing this learning path 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 Recoknition API.
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 Learning Path first.
This learning path includes 5 hours of High Definition video, 2 hands-on labs, quizzes and an assessment exam.
We welcome all feedback so please direct any comments or questions on this course to us at firstname.lastname@example.org
Learning Path Steps
This course provides a quick introduction to the "Applying Machine Learning and AI services on AWS” Learning Path. This is an intermediate level learning path designed to familiarise yourself with Machine Learning and other AI related technologies availabl...
Overview This training course begins with an introduction to the concepts of Distributed Machine Learning. We'll discuss the reasons as to why and when you should consider training your machine learning model within a distributed environment. Apache Sp...
Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.
Overview In this course you'll learn about Amazon Rekognition, a service that enables you to easily and quickly integrate computer vision features directly into your own applications. At its core, Amazon Rekognition provides an API that you submit images a...
Learn how to implement object detection on every new image uploaded on Amazon S3.
In this Amazon Lex course you will be guided through an in-depth study of the Amazon Lex service. We review where and when to use this service to best effect. We'll go over Chatbots in general and why they have become both useful and popular. You will be in...
This course provides a quick review and summary for what was learnt during the "Applying Machine Learning and AI services on AWS” Learning Path.
Exam: Applying Machine Learning and AI Services on AWS
About the Author
Jeremy is a Cloud Researcher and Trainer at Cloud Academy where he specializes in developing technical training documentation for security, AI, and machine learning for both AWS and GCP cloud platforms.
He has a strong background in development and coding, and has been hacking with various languages, frameworks, and systems for the past 20+ years.
In recent times, Jeremy has been focused on Cloud, Security, AI, Machine Learning, DevOps, Infrastructure as Code, and CICD.
Jeremy holds professional certifications for both AWS and GCP platforms.