Welcome AWS Educate and Udacity Machine Learning Students

You can use your AWS Promotional Credits to get started with AWS Machine Learning services such as Amazon SageMaker. Amazon SageMaker is a fully-managed machine learning platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It removes all the barriers that typically slow down developers who want to use machine learning, so it's a perfect starting point on your machine learning journey.

To get started check out the selected AWS resources below to accelerate your learning so that you can create cutting-edge Machine Learning models.

Learning Resources

Amazon SageMaker includes hosted Jupyter notebooks that make it easy to explore and visualize your training data. You can create a notebook instance following the steps outlined in the developer guide. You can then access example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker by navigating to Files>sample-notebooks or on GitHub.

Below are some of the Amazon SageMaker notebooks designed for you to get started with machine learning models quickly and easily.

Customer Churn Prediction with XGBoost

Using Gradient Boosted Trees to Predict Mobile Customer Departure.
Time Series Forecasting with Linear Learner

Using Linear Regression to Forecast Monthly Demand.
 
End-to-End Example #1

Image Classification of Handwritten Digits.

Other useful resources:

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