intermediate

Enterprise Machine Learning with Amazon SageMaker

Bring your machine learning projects to life in the cloud! This path takes you through every stage of the ML lifecycle with Amazon SageMaker—AWS’s platform for building, training, deploying, and automating models. Gain the skills to deliver scalable, production-ready ML solutions.

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Verified skills you'll gain

ADVANCED

Machine Learning Model Development

ADVANCED

Model Deployment Processes

Tools you'll use

Amazon SageMaker

AWS

FastAPI

Pandas

Python

Scikit-learn

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Course 2

Training Models in AWS with SageMaker Python SDK

5 lessons

20 practices

Unlock the power of cloud-based machine learning with Amazon SageMaker. Set up your AWS environment, upload data to S3, and launch scalable training jobs using the SageMaker Python SDK. You’ll learn how to monitor jobs, retrieve trained models, and evaluate results—building a strong foundation for advanced SageMaker workflows.

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Course 3

Deploying Models to AWS Endpoints with SageMaker

5 lessons

21 practices

Take your models live with SageMaker’s powerful deployment options. Learn to package and deploy models to serverless and real-time endpoints, test predictions at scale, and manage the full deployment lifecycle. You’ll gain hands-on experience with endpoint monitoring, cleanup, and cost management for reliable, production-ready inference.

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Course 4

Automating ML Workflows with SageMaker Pipelines

5 lessons

24 practices

Supercharge your ML projects by building automated pipelines with SageMaker Pipelines. Connect data processing, training, evaluation, and deployment into robust, repeatable workflows. You’ll learn to monitor pipeline runs, add evaluation steps, and automate model registration and deployment—making your machine learning solutions faster, smarter, and easier to maintain.

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Course 5

Managing ML Resources in SageMaker AI Console

4 lessons

4 practices

Master the SageMaker AI Console to efficiently manage your machine learning resources and workflows. Learn to navigate the web console interface for monitoring training jobs, managing endpoints, and organizing model artifacts. Gain practical skills in resource management, cost optimization, endpoint deployment, and setting up comprehensive monitoring and alerts for production ML systems.

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I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

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Jonathan Miller

Senior Machine Learning Engineer

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I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11