Hey Mrinal S Setty
Firstly, congratulations on completing your AI-900, DP-900, and AZ-900 certifications – that's an impressive achievement! As you are learning ill suggest you a few, insights Don't be afraid to experiment with different algorithms and model architectures. Azure Machine Learning's AutoML is a great playground for this!
Scalability:
Implement distributed training for deep learning models using Azure Machine Learning. Utilize Azure Machine Learning's support for Horovod for distributed training. Optimize batch inference pipelines for scalability.check Azure Machine Learning Pipeline capabilities for managing end-to-end workflows.
- The hyperparameters are like knobs of your models. Use HyperDrive in Azure Machine Learning to find the best settings.
- Explore model interpretability to understand how your model is making decisions. Tools like Azure Machine Learning InterpretML can be your guide..
CI/CD for Machine Learning:
you can implement continuous integration and continuous deployment (CI/CD) pipelines for ML models.
Utilize Azure DevOps or GitHub Actions for seamless integration. Establish a versioning strategy for your machine learning models. Leverage Azure Machine Learning's model versioning capabilities.
Recommended Study Spots:
Azure Machine Learning Playground: Dive into the Azure Machine Learning Documentation – it's like a treasure map to advanced concepts.
Labs: Explore hands-on tutorials with Azure Machine Learning Tutorials.
Microsoft learn:
Eyou can also use Microsoft Learn - Azure Machine Learning.
For more detailed ill drop you a few documentation links below
https://learn.microsoft.com/en-us/search/?terms=Azure%20Machine%20Learning%20Documentation
https://learn.microsoft.com/en-us/search/?terms=Azure%20Machine%20Learning%20Tutorials
https://learn.microsoft.com/en-us/search/?terms=Microsoft%20Learn%20-%20Azure%20Machine%20Learning
If this helps kindly accept the answer thanks much.