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MLOps on Azure: From Data Science to Deployment certification leverages Microsoft Azure tools to integrate machine learning (ML) outcomes into business processes. It is all about learning to streamline Machine Learning Life Cycle using Azure's Machine Learning Operations (MLOps) capabilities. Industries use this to ensure reproducibility, auditing, and automation of their ML models in production, leading to a consistent and efficient creation of business value. It's comprised of concepts like developing ML models with Azure ML service, controlling ML model versions, validating ML models, creating retraining pipelines, deploying ML models into production, and monitoring ML models. It essentially gives shape to operationalizing machine learning by managing end-to-end life cycle of ML models.
Intermediate
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Course Fee | 3,510 |
Total Fees |
3,510 (USD) |
USD
View Fees Breakdown
Course Fee | 2,700 |
Total Fees |
2,700 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with Labs) |
28,359 (INR) |
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You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs