Pipeline Forge
Production ML pipelines. Build SageMaker Pipelines, register models with versioning, deploy endpoints with CloudFormation, create serverless inference APIs, and wire up automated retraining triggered by new data.
Missions in This Path
Build a SageMaker ML Pipeline
Chain processing and training steps into an automated SageMaker Pipeline.
Model Registry with Versioning & Approval
Register, version, and approve ML models with SageMaker Model Registry.
Deploy Endpoints with CloudFormation
Provision SageMaker endpoints as infrastructure-as-code with CloudFormation.
Serverless ML Inference with Lambda
Deploy a scikit-learn model as a serverless Lambda API.
Automated ML Retraining Pipeline
Trigger model retraining automatically when new data lands in S3.
Complete all missions to earn
Pipeline Forge Architect (Gold)
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