Generative AI / ML

What Will You Learn?

• Fundamentals of machine learning and deep learning.
• Architectures like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
• How to build and train models for generating new data (e.g., images, text, music).
• Techniques for data preprocessing and augmentation.
• Evaluation methods for generative models.
• Applications of generative AI across different industries.
• Ethical considerations and challenges in generative AI.
• Fine-tuning pre-trained models for specific tasks.