Volume 44: SageMaker AI2/2
  1. 01Lessons 1-10
  2. 02Lessons 11-20

Chapter 02 of 02

Lessons 11-20

10 lessons21 min readingParts 924-933
  1. 01SageMaker AI: Add association from the CLIUse the AWS CLI to add association in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  2. 02SageMaker AI: Add tags from the CLIUse the AWS CLI to add tags in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  3. 03SageMaker AI: Associate trial component from the CLIUse the AWS CLI to associate trial component in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  4. 04SageMaker AI: Send pipeline execution step failure from the CLIUse the AWS CLI to send pipeline execution step failure in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  5. 05SageMaker AI: Send pipeline execution step success from the CLIUse the AWS CLI to send pipeline execution step success in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  6. 06SageMaker AI: Delete action from the CLIUse the AWS CLI to delete action in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  7. 07SageMaker AI: Delete algorithm from the CLIUse the AWS CLI to delete algorithm in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  8. 08SageMaker AI: Delete app from the CLIUse the AWS CLI to delete app in SageMaker AI, identify required inputs, and inspect the modeled response.3 min read
  9. 09SageMaker AI: Batch add cluster nodes from the CLIUse the AWS CLI to batch add cluster nodes in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read
  10. 10SageMaker AI: Describe cluster from the CLIUse the AWS CLI to describe cluster in SageMaker AI, identify required inputs, and inspect the modeled response.2 min read