This in-depth demo series features live demonstrations of how to implement AI governance on Google Cloud Platform (GCP), taking advantage of Cloud Dataplex's robust data management features and Vertex AI's advanced AI governance capabilities.
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Data Governance with Dataplex: Learn how to establish a robust data governance framework using Dataplex, ensuring effective data management, data quality, security, and compliance throughout the AI lifecycle.
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Model Development and Governance with Vertex AI: Explore Vertex AI's features for responsible AI development, including model explainability, bias detection, and monitoring.
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End-to-End AI Governance: Discover how to integrate Dataplex and Vertex AI to create a seamless, governed AI pipeline, from data ingestion to model deployment and monitoring in production.
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Practical Demonstrations: Gain hands-on experience through real-world examples and demos, illustrating how to apply AI governance principles in practice.
- Data Scientists and ML Engineers
- Data Governance Professionals
- IT and Cloud Architects
- Anyone interested in responsible and ethical AI development on GCP
Join this demo series to equip yourself with the knowledge and tools needed to implement effective AI governance on Google Cloud, ensuring your AI initiatives are transparent, accountable, and aligned with ethical standards.
| # | Category | Lab | Lab summary | Author |
|---|---|---|---|---|
| 1. | AI Governance with Dataplex | Cataloging a Model Card | Live Demo showcasing how to catalog a Model Card generated using MCT can be Cataloged in Dataplex. | Mansi Maharana |
| 2. | AI Governance with Dataplex | Discover Model Metadata and Artifacts | TBD | Mansi Maharana |
| 3. | AI Governance with Dataplex | Tracking Model Lineage | TBD | Mansi Maharana |
| 4. | AI Governance with Vertex AI | Model Metadata | TBD | Mansi Maharana |
| 5. | AI Governance with Vertex AI | Explainable AI | TBD | Mansi Maharana |
| 6. | Gen AI Governance with SDP | Secure AI | TBD | Mansi Maharana |
See the contributing instructions to get started contributing.
All solutions within this repository are provided under the Apache 2.0 license. Please see the LICENSE file for more detailed terms and conditions.
This repository and its contents are not an official Google Product.
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| # | Release Summary | Date | Contributor |
|---|---|---|---|
| 1. | Initial release of the repo | 20240807 | Mansi Maharana |