Dive into AI with Generative Adversarial Networks (GANs). Learn to use PyTorch for model creation and training, and Deep Convolutional GANs for image optimization.

Master VAEs for image generation: Learn probabilistic encoders and decoders. Train models on multichannel color images using Python in Colab.

Dive into unsupervised learning with autoencoders. Train models to reconstruct high-dimensional images and denoise corrupted images using PyTorch in colab.

Unlock Amazon Bedrock's potential for GenAI. Learn core concepts, model design, project evaluation, and innovative GenAI business application development.

Build cutting-edge generative AI models with Amazon SageMaker. Explore GANs, VAEs, optimization, transfer learning, deployment, and monitoring techniques.

Learn to create intelligent chatbots using Amazon Lex and Polly. Dive into context-aware conversations, sentiment analysis, and integration with high-security standards.

Discover AWS services for generative AI deployment. Optimize data, train models, and ensure security with SageMaker. Build scalable, efficient GenAI applications.

Unleash productivity with Amazon CodeWhisperer. Learn setup, automated code generation, software optimization, and security configuration best practices.

Generate natural speech with Amazon Polly. Discover text processing, voice customization, SSML implementation, secure usage, and cost optimization techniques.

Unlock AWS AI/GenAI services for businesses. Explore AWS GenAI services, foundational models, and infrastructure for developing and deploying GenAI solutions seamlessly.

Dive into generative AI on Google Cloud Platform. Learn AI development, GCP advantages and machine learning services, image generation, NLP, and more.

Create a generative AI app on GCP. Learn environment setup, model building with TensorFlow, training loop creation, dockerization of training script, and model deployment to API endpoint.