Synthetic Data Generation for Model Training

This Pathway focuses on using GenAI (such as Generative Adversarial Networks or diffusion models) to create artificial, privacy‑safe datasets that closely mimic real‑world data distributions for training.

After completing this Pathway, you will be able to:

• Develop a basic GAN (Generative Adversarial Networks) architecture
• Appraise the realism of synthetic data