Hyperparameter Tuning Job Created Using Amazon SageMaker

Libraries: If you want this lab, consider one of these libraries.
AI
Cloud

Hyperparameter Tuning Job Created Using Amazon SageMaker

Imagine you are a data engineer, and your company just selected AWS as the preferred cloud provider. You have been asked to find the optimal set of hyperparameters for the linear learner model by leveraging SageMaker's Automatic Model Tuning (AMT). In this lab, you will fetch the iris data and use that as the input dataset. Once the data is split, the data is uploaded to an S3 bucket. Then the Sagemaker estimator is configured to run four tuning jobs, and will identify the job that minimizes the objective metric.

Get started Contact sales

Lab Info

Level

Intermediate

Last updated

Sep 09, 2025

Duration

1h 0m

Challenge

Launch SageMaker Notebook
1. Log in to the AWS console and navigate to AWS SageMaker.
2. Load the Jupyter Notebook that has been provided with this hands-on lab.
Challenge

Install dependencies and import the libraries
1. Load required libraries.
2. Fetch the dataset from sklearn library.
Challenge

Download the data and upload it to an S3 bucket
1. Convert the downloaded data to a CSV format
2. Use the upload_file function and upload the CSV files to an S3 bucket
Challenge

Set up training and validation data
1. Create the inputs for the fit() function with the training and validation location.
Challenge

Initialize the estimator
1. Fetch the linear learner image according to the region.
2. Set up the estimator function.
Challenge

Tune hyperparameters
1. Define the hyperparameter ranges.
2. Invoke the tuner job.
3. Monitor the tuning process from the management console.

About the author

Pluralsight Skills

Pluralsight Skills gives leaders confidence they have the skills needed to execute technology strategy. Technology teams can benchmark expertise across roles, speed up release cycles and build reliable, secure products. By leveraging our expert content, skill assessments and one-of-a-kind analytics, keep up with the pace of change, put the right people on the right projects and boost productivity. It's the most effective path to developing tech skills at scale.

Real skill practice before real-world application

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Learn by doing

Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.

Follow your guide

All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.

Turn time into mastery

On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.