nitinaws / sagemaker-mlops-workshop-agenda

SageMaker-MLOPs-Workshop-Agenda

MLOPs with SageMaker Workshops

Agenda for MLOPs with SageMaker Workshops

• Data Labeling
  • GroundTruth Lab - Images <>
  • GroundTruth Lab - Videos <>
• Training
  • Experiments management
  • SageMaker script mode
  • Model Hyperparameter Tuning
  • RESNET Notebook
    • Debugging
    • Spot Training
  • Tensorflow Estimator Notebook
    • Distributed Training Workshop Notebook
    • Bring your own container
• Hosting
  • Deploy model as an endpoint
    • SageMaker trained model
    • Bring your own model
    • Perform predictions
    • Auto-Scaling MXNet
    • A/B testing
    • Multi-model endpoints
  • Deploy tensorflow model as TF Serving
  • MLOPs best practices overview
    • Deployment across regions using SageMaker
• SageMaker with Kubernetes
  • SageMaker + Kubernetes Overview
  • SageMaker Operators for Kubernetes
  • KubeFlow pipelines with SageMaker

Sources:

• https://github.com/markproy/sagemaker-workshop
• https://github.com/aws-samples/mlops-amazon-sagemaker-devops-with-ml
• By Shreyas Subramanian - https://master.d11arstd4fhlv6.amplifyapp.com/ & https://www.shreyasdemos.ml/
• https://github.com/data-science-on-aws/workshop