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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.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Last updated
Clock icon Aug 28, 2025

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Table of Contents

  1. 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.

  2. Challenge

    Install dependencies and import the libraries

    1. Load required libraries.
    2. Fetch the dataset from sklearn library.

  3. 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

  4. Challenge

    Set up training and validation data

    1. Create the inputs for the fit() function with the training and validation location.

  5. Challenge

    Initialize the estimator

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

  6. Challenge

    Tune hyperparameters

    1. Define the hyperparameter ranges.
    2. Invoke the tuner job.
    3. Monitor the tuning process from the management console.
Pluralsight Skills - Labs - Pluralsight
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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.

What's a lab?

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.

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.
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