aws-samples/mlops-amazon-sagemaker

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

Stars: 335
Forks: 132
Open beginner issues: 0
Indexed issues: 6

Dominant language: Jupyter Notebook
License: Apache-2.0
Last GitHub push: Jul 20, 2023
Latest indexed: Sep 16, 2026
Contributing guide: Contributing guide
Code of conduct: Code of conduct
Beginner labels: No beginner labels indexed
PR merge metrics: No merged PRs in 30d

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6 open issues indexed

create_training_job fails in region `eu-central-1` with `Invalid DNS suffix 'amazonaws.com' for region 'us-east-1' in training image` Open

aws-samples/mlops-amazon-sagemaker#9 · 0 comments · 6 reactions · 0 assignees · Indexed Sep 16, 2026
Minor Typo in architecture diagram Open

aws-samples/mlops-amazon-sagemaker#11 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 16, 2026
Lambda functions for Jenkins lab missing Open

aws-samples/mlops-amazon-sagemaker#12 · 2 comments · 0 reactions · 0 assignees · Indexed Sep 16, 2026
Lambda Permission Error for GetStatus Lambda Open

aws-samples/mlops-amazon-sagemaker#13 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 16, 2026
Validate Inference Endpoint Open

aws-samples/mlops-amazon-sagemaker#31 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 16, 2026
Pipeline Object Definition doesn't include NotebookStep Open

aws-samples/mlops-amazon-sagemaker#36 · 3 comments · 0 reactions · 0 assignees · Indexed Sep 16, 2026

A short digest of beginner-friendly GitHub issues.