This is a short refresher of the 7 AWS machine learning services announced at Re:invent 2018 which will cover:
- Amazon SageMaker Ground Truth
- Amazon Forecast
- Amazon Comprehend Medical
- Amazon Textract
- Amazon Personalize
- Amazon SageMaker RL
- AWS DeepRacer
Learning Objective
- It aims to provide an awareness of what each of the ML services is used for and the benefit that they can bring to you within your organization
Intended Audience
- This course would be beneficial to anyone who is responsible for implementing, managing, and securing machine learning services within AWS
Prerequisites
- You should have a basic understanding of Machine learning concepts and principles to help you understand how each of these services fit into the AWS landscape
Related Training Content
Introduction to Machine Learning on AWS
Hello and welcome to this Re:Invent Reminder Course which provide a high level over view of seven different machine learning services that were announced during Re:Invent 2018. So this is just a refresh and recaps some of those new services announced.
My name is Stuart Scott and I specialize in AWS. Feel free to contact me with any questions using the details shown on screen alternatively you can always get in touch with us here on Cloud Academy by sending me an email to support@cloudacademy.com.
As this is an overview of this recently announced services this will be beneficial to anyone who's responsible for implementing, managing and securing machine learning services within AWS. It aims to provide an awareness of what each of this new services are used for and the benefit that they can bring to you within your organization. You should have a basic understanding of machine learning concepts and principles to help you understand how each of this services fit into the AWS landscape. As we cover the key points from each of the following services in seven short lectures. This being Amazon SageMaker Ground Truth. Amazon forecast, Amazon comprehend Medical. Amazon Textract. Amazon Personalize. Amazon SageMaker RL and AWS DeepRacer.
Feedback on our courses here Cloud Academy are available to both us as trainers and any student looking to take the same course in the future. If you have any feed back positive or negative it will be greatly appreciated if you can contact support@cloudacademy.com.
Lets begin by taking a look at Amazon SageMaker Ground Truth.
Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.
Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.