This three-day, role-specific course is intended for participants interested in developing skills and experience
using Snowflake AI Data Cloud for data science workloads. The participant will gain exposure to the rich features
of Snowflake, diverse machine learning datasets, relevant and popular open source ML frameworks and libraries,
and model deployment practices that will provide practical skills applicable to data science jobs. This course
consists of lectures, demos, labs, and discussions.

ACQUIRED SKILLS
• Collect and access data from Snowflake Data Marketplace and other sources.
• Manage and architect data lakes and real-time streams.
• Employ Snowflake-recommended best practices for developing or querying semi-structured and other
data types.
• Work with supervised and unsupervised machine learning models using some of the most relevant open
source frameworks and libraries.
• Formulate data science and machine learning workflows and data pipelines.
• Manage and deploy machine learning models at scale with APIs.
• Visualize and collaborate on machine learning results.