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about the subject

AWS offers a suite of tools perfect for training and deploying your own ML models. Better yet, it comes with all the benefits developers love about AWS, with helpful support at your fingertips, security for every step, and the ability to pay for just what you need! It's perfect for developers who want to get the job done with minimal fuss.

about the video

See it. Do it. Learn it! This amazing liveVideo course will put your machine learning on the fast track! AWS Machine Learning in Motion gives you a complete tour of the essential tools, techniques, and concepts you need to do complex predictions and other data analysis using the AWS machine learning services!

In this interactive liveVideo course, you'll get started with cloud-based machine learning under the guidance of experienced software engineer and TED Speaker Kesha Williams. You'll cut through the theory and jargon as you build a working crime-fighting machine learning algorithm! Starting with a tour of AWS' tools and the basics of machine learning, you'll dive into the learning algorithms supported by AWS, such as linear regression, multinomial logistic regression, and logistic regression.

Then comes the really fun part! You'll get your hands dirty as you obtain and prepare a data set for your own machine learning model. You'll learn how to train the model to recognize patterns and optimize it to become more accurate. With engaging exercises throughout, you'll also practice with the AWS Lambda, Boto3, Quicksight, and IoT tools to build a completely serverless application that can make decisions based on real-time predictions!

You'll start to feel like Tom Cruise in Minority Report as your algorithm grows into something that can look at images and tell you if a crime is happening! With some basic Python skills and AWS Machine Learning in Motion, you can build it right now!

prerequisites

Requires a beginner-level understanding of AWS and the Python programming language. No experience with machine learning is needed.

what you will learn

• Machine learning in the cloud
• Combining AWS Lambda and Python
• Reviewing data with AWS QuickSight
• Loading your data into AWS S3 for modelling
• Generating and using predictions
• Retraining ML models

about the instructor

Kesha Williams is a software engineer with over 20 years' experience specializing in application development using Java, Angular, and Amazon Web Services. Also honored as an Amazon Alexa Champion, she has developed several popular Alexa skills and speaks is the Alexa conference 2019 keynote speaker. Kesha trains and mentors thousands of software engineers in the US, Europe, and Asia while teaching technology courses at the university level. She also developed S.A.M. (http://www.iamsam.tech/) which can predict the likelihood of crime in a certain area using machine learning. Follow Kesha on Twitter @KeshaWillz.

We interviewed Kesha as a part of our Six Questions series. Check it out here.