Organizations are evolving and are becoming AI driven organisations.
This repo aims to help Data Science teams to build Scalable, Secure and Responsible AI Solutions in Azure.
PDF Slides: Building Scalable, Secure and Responsible AI Solutions in Azure
Youtube link: https://www.youtube.com/watch?v=DPRj9tGWpuM&t=31s
The AI journey can be divided into 2 parts:
- Experimentation
- Production
Most of the companies are in the experimentation phase, but some are in the production phase.
For the companies in the Production phase it is important to invest time to understand important topics like:
- AI/ML Platform
- MLOps
- Responsible AI
- AI/ML Security
Here are some links to help your Data Science team:
MLOps explained | Machine Learning Essentials https://www.youtube.com/watch?v=ZVWg18AXXuE
MLOps Using Azure Machine Learning https://www.youtube.com/watch?v=uKryRn6v0w8
Azure MLOps - DevOps for Machine Learning https://www.youtube.com/playlist?list=PLiQS6N-W1p3m9squzZ2cPgGdH5SBhjY6f
MLOps with Azure ML https://github.com/microsoft/MLOpsPython
MLOps v2 https://github.com/Azure/mlops-v2
Azure Machine Learning Security https://github.com/caiomsouza/azure-machine-learning-security
https://fairlearn.org/
https://interpret.ml/
https://www.microsoft.com/en-us/ai/our-approach?activetab=pivot1%3aprimaryr5