This course will teach critical skills to design and deploy scalable ML solutions. The core skills covered are

Data Preparation: Ingest, transform, and clean data using SageMaker
Pipeline Automation: Build and deploy end-to-end ML workflows
Solution Management: Monitor, secure, and optimize AWS-based ML systems
It offers hands-on AWS training that is ideal for software developers, data scientists, ML engineers, and DevOps professionals, this course blends theory with practical projects to help you design production-ready ML architectures, automate CI/CD pipelines for efficient deployment, implement security best practices for cloud-based systems.

You can find additional resources here: https://bitbucket.org/awsdevguru/awsmlassoc/src/main/

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Skill Level

Intermediate to advanced
Course requirement

None