AWS AIOps on SageMakerAI

This repository contains a collection of examples and resources to help you operationalize Generative AI (GenAI) and Machine learning workloads on SageMakerAI.

Overview

The AWS AIOps covering GenAIOps and MLOps patterns involing SageMakerAI resources like SageMaker managed MLflow, SageMaker pipelines and include all other AWS GenAI related features like Amazon Bedrock. This repository provides a set of sample notebooks, scripts, and configurations to help you explore different aspects of the AIOps.

Repository Structure

.
├── workshops/                               # Root folder for all workshops
│   └── ...                                  # Specific workshop folders
├── examples/                                # Root folder for all examples
│   └── ...                                  # Specific example folders
├── LICENSE                                  # The Repository MIT-0 License
└── README.md                                # Root folder Repository documentation

Workshops

AIOps with SageMakerAI Managed MLflow

• Specialized technical workshop is designed for ML administrators, platform engineers, data scientists, ML engineers and DevOps engineers. seeking hands-on skills in managing and utilizing Amazon SageMakerAI managed MLflow.
• The course delves into essential topics such as administrating SageMaker managed MLFlow and example workloads. - Participants will also gain deep insights into MLflow constructs like experiments, models, prompts, SageMaker-MLflow integration, and tracing.
• Advanced segments will cover workloads like genai agents, and LLM Model training.

Examples

SageMaker Managed MLflow Observability for Strands Agents on Amazon Bedrock AgentCore

• Example with step-by-step instructions and deployment jupyter notebook to integrate Strands Agents in Amazon Bedrock AgentCore Runtime with Amazon SageMaker managed MLflow for observability.

Getting Started

To get started, follow these steps:

Clone the repository to your local machine:

git clone https://github.com/aws-samples/sample-aiops-on-amazon-sagemakerai.git

Navigate to the repository directory:

cd sample-aiops-on-amazon-sagemakerai

Explore the contents of the repository and follow the instructions in the README.md files within each subdirectory.

Contributing

We welcome contributions to this repository! If you have any examples, improvements, or bug fixes to share, please see CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.