Intro to Generative Synthetic Data Augmentation for Aspiring Generative AI Engineers

Unlock the power of synthetic data to overcome data scarcity and bias, mastering GANs and Diffusion Models to augment datasets and build robust AI applications.

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Foundations of Synthetic Data and Generative Models

Unit 1: The Data Problem in AI

Unit 2: Augmentation Techniques

Unit 3: Generative Model Architectures

Generating and Evaluating Synthetic Data

Unit 1: Hands-on Synthetic Data Generation

Unit 2: Assessing Synthetic Data Quality

Unit 3: Ethics and Risks of Synthetic Data