AWS Foundations: How Amazon SageMaker Can Help

Explore machine learning with Amazon SageMaker

Discover how Amazon SageMaker simplifies the machine learning pipeline by exploring its role in ML workflows, supported data formats, notebooks, instances, and built-in capabilities for training, evaluating, and automatically tuning models.

Apply SageMaker across the machine learning pipeline

Examine how Amazon SageMaker supports scalable machine learning workflows by connecting data preparation, model development, evaluation, and optimisation for real-world AI applications.

Please note that to access the course content for this AWS course, you will go via an LTI link(s) to the AWS platform; you can then return to the FutureLearn course in order to receive your certificate.

This course is ideal for Developers, Solution Architects and Data Engineers

This course is ideal for Developers, Solution Architects and Data Engineers

• Describe where Amazon SageMaker fit into the machine learning pipeline
• Describe Amazon SageMaker data formats
• Use Amazon Sagemaker to train, evaluate, and automatically tune a model