Get started with SageMaker Pipelines

Amazon SageMaker Model Building Pipelines is a tool for building machine learning pipelines that take advantage of direct SageMaker integration.

• Orchestrate Jobs to Train and Evaluate Models with Amazon SageMaker Pipelines
• SageMaker Pipelines California Housing - Taking different steps based on model performance
• Deploying an Amazon Comprehend Model with SageMaker Pipelines
• Creating an Amazon Forecast Predictor with SageMaker Pipelines

Pipeline Parameterization

• Parameterize SageMaker Pipelines

SageMaker Pipeline Multi-Model

• Multi-model SageMaker Pipeline with Hyperparamater Tuning and Experiments

Pipeline Compare

• Comparing model metrics with SageMaker Pipelines and SageMaker Model Registry

Launch AutoML with Pipelines

• Launch Amazon SageMaker Autopilot experiments directly from within Amazon SageMaker Pipelines to easily automate MLOps workflows

Build pipelines with step decorator

• Basic Pipeline for Batch Inference using Low-code Experience for SageMaker Pipelines
• Computer vision model building pipeline using the step decorator
• Using @step Decorated Step with EMR Step
• Quick Start - Introducing @step Decorator and Pipeline Trigger
• Quick Start - Using @step Decorated Step with Classic TrainingStep
• Quick Start - Using @step Decorated Steps with ConditionStep