LABTrain a Machine Learning Model with Amazon SageMaker
In this lab, you'll practice using a SageMaker notebook to train an ML model. When you're finished with this lab, you'll have created, trained, and deployed a model to recognize handwritten digits.
* Our Labs are Available for Enterprise and Professional plans only.
Terms and conditions apply.
Terms and conditions apply.
Challenge
Create SageMaker Notebook
Create a SageMaker notebook.
Challenge
Train Model
Use the notebook to train a K-Means ML model.
Challenge
Use the Model
Use the deployed model from the SageMaker endpoint.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
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.
Recommended prerequisites
- Basic Python Knowledge
- Basic Jupyter Notebook Experience
