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Migrating ML Projects to Amazon SageMaker Studio

Free

Move your existing machine learning project to Amazon SageMaker Studio. Learn to migrate notebooks, run scalable training jobs, register models, deploy endpoints, automate workflows with SageMaker Pipelines, and monitor models in production.

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Complete lessons in order to unlock the next — structured progression.

SageMaker Studio Foundations

Understand why SageMaker Studio is worth migrating to, set up a domain and user profile, and get comfortable with the Studio interface.

  1. 1Introduction To Amazon Sagemaker StudioTutorial
  2. 2Setting Up And Navigating Sagemaker StudioTutorial
  3. 3Sagemaker Studio Foundations CheckQuiz

Data and Notebooks

Move your notebooks and datasets into SageMaker Studio. Learn how to access data from S3, use SageMaker data channels for training, and get started with Feature Store.

  1. 4Migrating Your Notebooks To Sagemaker StudioTutorial
  2. 5Data Access With S3 And SagemakerTutorial
  3. 6Sagemaker Feature Store BasicsTutorial
  4. 7Data And Notebooks CheckQuiz

Training at Scale

Move your training code to SageMaker Training jobs. Use built-in containers, bring your own scripts or custom containers, and track every run with SageMaker Experiments.

  1. 8Running Training Jobs On SagemakerTutorial
  2. 9Using Custom Training Containers On SagemakerTutorial
  3. 10Tracking Experiments With Sagemaker ExperimentsTutorial
  4. 11Training At Scale CheckQuiz

Deployment and Inference

Register your trained models in the Model Registry, deploy real-time endpoints, and run large offline scoring jobs with Batch Transform.

  1. 12Managing Models With The Sagemaker Model RegistryTutorial
  2. 13Deploying Models With Sagemaker EndpointsTutorial
  3. 14Batch Transform With SagemakerTutorial
  4. 15Deployment And Inference CheckQuiz

MLOps and Monitoring

Automate your full ML workflow with SageMaker Pipelines, monitor production endpoints for data drift and quality issues, and complete a full end-to-end migration capstone project.

  1. 16Automating Ml Workflows With Sagemaker PipelinesTutorial
  2. 17Monitoring Models In Production With SagemakerTutorial
  3. 18Capstone: Full Ml Project Migration To Sagemaker StudioTutorial
  4. 19Mlops And Monitoring CheckQuiz

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