- AI Security
- Generative AI
- Data Ethics
- Model Deployment
- Marketing
- Information Privacy
- Large Language Modeling
- Advertising
- Transfer Learning
- Responsible AI
- Feature Engineering
- Prompt Engineering
Generative AI for Data Science
Completed by Prafullit Prafullit
March 22, 2025
3 hours (approximately)
Prafullit Prafullit's account is verified. Coursera certifies their successful completion of Generative AI for Data Science
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.
Skills you will gain
