Generative AI for Data Science
By External Provider
About this course
Did you know Generative AI can enhance data accuracy and operational efficiency in data science? This Short Course was created to help data scientists and AI enthusiasts unlock the full potential of Generative AI in their data-driven projects. Within this 3-hour-long commitment, you will learn how to explore and leverage GenAI applications, identify key use cases like data augmentation and anomaly detection, and analyze crucial data security and privacy issues. By completing this course, you'll be able to apply advanced AI techniques to real-world data challenges, ensuring your projects are both innovative and ethically sound. Blending cutting-edge AI technology with practical, industry-specific applications makes this course unique. To be successful in this project, you will need a solid foundation in Python, basic machine learning principles and an understanding of fundamental data science concepts.
What you will learn
- Proficiency in Gen AI within the data science landscape, specifically in marketing and advertising.
- Exposure to many Gen AI applications, including data augmentation, feature engineering, anomaly detection, and generative modeling.
- Run large language models locally, identify and implement specific use cases for GenAI, and join conversations about data security and privacy.
- Explore ethical and operational implications of Gen AI in data science, and integrate its innovative potential into practices through integrity.