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Introduction to Jupyter Notebooks (AWS SageMaker)

Hands-On Lab


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Training Architect





Jupyter Notebooks are the standard tool for interacting with and manipulating data. Data scientists and engineers at many companies can experiment with them, using their data sets to assist in product development.

In this activity, we will cover the basic structure of a notebook, how to execute code, and how to make changes. We'll also create a simple machine learning model and use it to make inferences. This lab uses AWS SageMaker Notebooks and provides you with the foundational knowledge required to use this service for more advanced topics.

The files used in this lab, can be found here on GitHub

What are Hands-On Labs?

Hands-On Labs are scenario-based learning environments where learners can practice without consequences. Don't compromise a system or waste money on expensive downloads. Practice real-world skills without the real-world risk, no assembly required.