"GenAI for Data Science Teams" is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and data science practices. This course aims to demystify GenAI complexities, enabling data science professionals to leverage these technologies for data augmentation, task automation, and model development.
GenAI for Data Science Teams
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
A comprehensive understanding of how GenAI technologies can be applied in a data science team, enhancing data quality and model development.
GenAI tools to automate and optimize data augmentation, to automate repetitive tasks such as data manipulation, model development, etc.
The ethical implications and best practices for integrating GenAI within data science team projects to ensure responsible and effective use.
Details to know
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
"GenAI for Data Science Teams" is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and data science practices. This course aims to demystify the complexities surrounding GenAI, making it accessible for data science professionals to leverage these technologies for enhancing data augmentation, automating repetitive tasks, and model development. Through engaging content and practical applications, learners will gain a solid foundation in understanding how GenAI can revolutionize data handling, analysis, and model training processes.
What's included
5 videos6 readings1 assignment
Offered by
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