Artificial Intelligence and Machine Learning

Amazon SageMaker Studio for Data Scientists

StorSoft delivers the AWS Amazon SageMaker Studio for Data Scientists course to strengthen team capability across artificial intelligence and machine learning. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in virtual classroom live and classroom live formats, typically over 3 days. Relevant background is recommended before enrollment.

AWSArtificial Intelligence and Machine Learning

Before you enroll

Prerequisites and certification path.

Recommended background

Experience using ML frameworks; Python programming experience; At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models; AWS Technical Essentials

Delivered through StorSoft

Schedule this course for your team.

StorSoft coordinates delivery through its authorized training partners, including Global Knowledge and Ascendient Learning, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.