Enabling data science teams to focus on training and optimizing ML models with Azure.

Challenges

1. Build pipelines with Azure DevOps
2. Training models with Azure ML Service
3. Releasing ML models with Azure DevOps
4. Continuous deployment of ML models with Azure DevOps
5. End-to-end MLOps with Azure

Target Audience

• Data Scientists
• Developers
• Architects