Participants will dive into Azure Machine Learning (Azure ML) for end-to-end ML workflows, including data preparation, automated model training, evaluation, and deployment as web services. The session includes MLOps best practices and hands-on exercises like training a classification model (e.g., predicting customer churn) and deploying it for real-time inference.
Time- 10:30 AM To 12:30 PM(IST)