Amazon SageMaker

Learn how to leverage the power of AWS SageMaker for your Machine Learning and AI Projects on AWS!

Created by: Jose Portilla
Head of Data Science at Pierian Training

Created by: Pierian Training
Data Science and Machine Learning Training

What Will I Learn?

• Learn to set up and navigate the AWS SageMaker console for machine learning projects.
• Understand the fundamentals of AWS SageMaker, including domains and notebook instances.
• Identify how to utilize SageMaker Notebook Instances for machine learning development.
• Define the capabilities of the Amazon SageMaker Python SDK and its application in data processing.
• Comprehend the features of SageMaker Studio Classic and its role in machine learning workflows.
• Master the use of SageMaker Canvas for Auto ML, data import, wrangling, and inference.
• Discover how to effectively use SageMaker Ground Truth for data labeling projects.
• Apply comprehensive SageMaker knowledge in real-world scenarios through Capstone Projects.

Requirements

• AWS Console Access and Full Permissions to create AWS SageMaker Resources

Target audience

• Python Developers and Machine Learning Practitioners looking to use AWS SageMaker for Machine Learning