***This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact [AWS Training and Certification Customer Support](https://support.aws.amazon.com/#/contacts/aws-training).*** This course covers essential components of Amazon SageMaker Unified Studio, including its seamless interface for data analytics and AI tools, integration capabilities across SQL analytics, machine learning, and generative AI development, along with a deep understanding of the lakehouse architecture for unified data management. Students will also learn to implement robust data governance frameworks using Amazon SageMaker's built-in capabilities, ensuring secure and compliant data handling practices. Whether you're a data professional, analytics specialist, or AI developer, this course provides the practical knowledge needed to effectively leverage Amazon SageMaker's unified platform for modern data analytics and AI development workflows.
SageMaker Unified Studio Foundations for Data Analytics
SageMaker Unified Studio Foundations for Data Analytics
Instructor: AWS Instructor
Access provided by Abu Dhabi National Oil Company
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Discuss the AWS Well-Architected Framework and how to build database solutions around it.
Identify different data categories, and determine alignment to AWS database services.
Compare and categorize AWS relational and nonrelational database services.
Determine the right database to support a given application requirement.
Tools you'll learn
Details to know
Assessments
1 assignment
Taught in English
Recently updated!
December 2025
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There is 1 module in this course
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