Advanced Functionality

Advanced Algorithms

• Build GAN (Generative Adversarial Networks) with PyTorch and SageMaker
• Deploy a pretrained PyTorch BERT model from Hugging Face Hub on Amazon SageMaker for sentiment analysis

Parallelism with Data Distribution

Multi-Model Endpoints

• Amazon SageMaker Multi-Model Endpoints using PyTorch

Distributed Sentiment Classification with Debugging

• Distributed Training with Hugging Face Sentiment Classification and Batch Transform

Prebuilt Deep Learning Containers

• AutoGluon Tabular with Deep Learning Containers on SageMaker
• Prerequisites
• Training
• Endpoint Deployment
• Batch Transform
• Conclusion

SageMaker Pipeline

• Orchestrating Jobs, Model Registration, and Continuous Deployment with Amazon SageMaker
• Conclusion

Multi Container Endpoint

• Running multi-container endpoints on Amazon SageMaker

Bring Your Own Algorithm Container

• Amazon SageMaker Multi-Model Endpoints using your own algorithm container

Fine-tuning and deploying a BERTopic model on SageMaker with your own scripts and dataset, by extending existing PyTorch containers

• Fine-tuning and deploying a BERTopic model on SageMaker with your own scripts and dataset, by extending existing PyTorch containers

Bring Your Own Pipe-Mode Algorithm

• Bring your own pipe-mode algorithm to Amazon SageMaker

Bring Your Own Model

• Amazon SageMaker scikit-learn Bring Your Own Model

Casual Inference Container

• Building your own algorithm container for Causal Inference
• Using CausalNex in Amazon SageMaker