Nicolas Moy is a Cloud Security Professional and Certified AWS Certification SME. He has been featured as a top rated instructor across numerous cybersecurity training platforms and has led the development of cloud security programs for the federal government and Fortune 500 companies. He specializes in leveraging DevOps practices to implement automated security testing for technical and governance controls across cloud ecosystems. Nicolas runs an avid YouTube channel teaching others how to get ... moreinto cybersecurity, navigating career moves within cybersecurity, and development technical skills to stay competitive in the industry. When he's not developing training materials on Pluralsight, you can usually find him lifting weights or hanging out with family in the Sunshine State.
In this challenge, you will create the notebook instance that you'll use to download and process your data. During the process, you'll need to create a new IAM role that allows SageMaker to access the data held within S3.
Prepare the data
In this challenge, we will use the Amazon SageMaker notebook instance to preprocess the data that you need to train your machine learning model and then upload the data to Amazon S3.
Train the model to learn from the data
In this challenge, you will use your training dataset to train your machine learning model.
Deploy model and evaluate performance
In this challenge, you deploy the trained model to an EC2 endpoint and evaluate the performance and accuracy of the machine learning model.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.