Course Overview:

The Data Science with Generative AI course is designed for individuals who want to explore the cutting-edge intersection of data science and generative artificial intelligence. This course covers the foundational concepts of data science while diving deep into the applications and techniques of generative AI. By the end of this course, students will be equipped to develop and implement generative models to solve real-world problems.

Course Content:

• Introduction to Data Science and Generative AI: Understanding the basics of data science and the principles of generative AI.
• Data Preprocessing and Analysis: Techniques for cleaning, transforming, and analyzing data.
• Fundamentals of Machine Learning:: Overview of machine learning algorithms and their applications.
• Generative Models: Introduction to various generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other state-of-the-art techniques.
• Practical Applications of Generative AI: Hands-on projects such as image generation, text synthesis, and data augmentation.
• Ethics and Future of Generative AI: Discussion on ethical considerations and the future impact of generative AI in various industries.
• Capstone Project: A comprehensive project involving the development and deployment of a generative AI model.