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.
Learn More