Ementorhub

What you'll 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'll gain

Data Synthesis

Information Privacy

Data Ethics

Operational Efficiency

Marketing

Advertising

Anomaly Detection

Prompt Engineering

Artificial Intelligence

Application Deployment

Feature Engineering

Large Language Modeling

Generative AI

There are 5 modules in this course

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.

Lesson 1: Versatility and Impact of GenAI in Data Science

Lesson 2: Running and deploying an LLM locally for Data Science:

Lesson 3: Feature Engineering with High Performance SMS Campaign Data

Lesson 4: Ethical Considerations of GenAI