Machine Learning with SageMaker by Pearson
With Pearson
Liked by 1 user
Duration: 8h 52m
Skill level: Advanced
Released: 2/25/2026
Course details
In this course, expert Nick Garner teaches you how to design and deploy scalable, cloud-based machine learning (ML) solutions on AWS. Learn about data preparation, automation, and solution management. Explore how to ingest, transform, and clean data using SageMaker Pipelines. Discover how to achieve automation by building and deploying end-to-end ML workflows. Find out how to monitor, secure, and optimize AWS-based ML systems.
This course offers hands-on AWS training that is ideal for software developers, data scientists, ML engineers, and DevOps professionals, blending theory with practical projects to help you design production-ready ML architectures, automate CI/CD pipelines for efficient deployment, and implement security best practices for cloud-based systems.
Note: This course was provided by Pearson and Nick Garner. We are pleased to host this content in our library.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Contents
What’s included
- Learn on the go Access on tablet and phone
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.