Unit 1: What is Generative AI?
Unit 2: TensorFlow Setup
Unit 3: GenAI Landscape
Generative AI with TensorFlow
Master Generative AI using TensorFlow: from foundational models to advanced techniques, ethical considerations, and real-world deployment.
Unit 1: Introduction to Autoencoders
Unit 2: Variational Autoencoders (VAEs)
Unit 3: Latent Space Exploration
Unit 1: GAN Foundations
Unit 2: Deep Convolutional GANs (DCGANs)
Unit 3: Conditional GANs (cGANs)
Unit 4: Wasserstein GANs (WGANs)
Unit 1: PixelCNN and PixelRNN for Image Generation
Unit 2: Transformer-based Generative Models for Text
Unit 3: Generative Models Applications
Unit 1: Optimizing Generative AI Models
Unit 2: Evaluating Generative AI Models
Unit 3: Deploying Generative AI Models
Unit 4: Integrating Generative AI into Applications
Unit 1: Ethical Considerations in Generative AI
Unit 2: Data Privacy and Security
Unit 3: Latest Trends in Generative AI
Unit 4: Responsible AI