MLDL 108 – Generative AI Systems

(Weeks 16–18 | Lecture 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Contact Hrs | 1.2 Semester
Credits)
Students will:

• Develop Generative Adversarial Networks (GANs) for synthetic data creation.
• Build Variational Autoencoders (VAEs) for data generation tasks.
• Understand and apply the fundamentals of diffusion models and LLMs.
  Prerequisite: MLDL 107 – Transfer Learning and Fine-Tuning
  Tools: TensorFlow, Hugging Face, OpenAI API