This repository provides practical guidance and applied recommendations for implementing GenAIOps using Azure services. While it does not aim to be an exhaustive or prescriptive guide, it presents a structured set of best practices and how-to resources tailored to typical scenarios encountered when developing GenAI applications on Azure. The content supports both newcomers and experienced teams refining their practices.
- Learn how to bootstrap your project
- Provision resources with Infrastructure as Code
- Easy-to-configure and extend templates
- Leverage Azure AI Foundry
Explore this set of articles to navigate and implement GenAIOps smoothly. These resources clarify the repository structure, Git workflow, and reference architecture, providing a strong foundation for successful execution.
- Repository Structure
- Git Workflow and Pipelines
- Reference Architecture
- Project Templates
- GenAIOps Team Roles
The following step-by-step guides are the hands-on exercises for the GenAIOps Workshop. They are designed to be completed during the workshop but can also be used independently as practical implementation guides.
Pre-work (Must be completed before the workshop begins):
Workshop Labs:
- From Idea to Prototype
- Building Your GenAI App
- Evaluating Your App Responses
- Automating Deployment with CI/CD
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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