Azure MLOps: Streamlining Machine Learning Operations
Master the end-to-end process of building, deploying, and monitoring machine learning models in production using Microsoft Azure.
Master the end-to-end process of building, deploying, and monitoring machine learning models in production using Microsoft Azure.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning Operations with Microsoft Azure (MLOps with Azure) program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Create complete data pipelines using Azure to ingest data, train predictive models, and feed ongoing operations
Implement automated model scoring systems that continuously process new data
Design ML pipelines that output actionable decisions or variables to support business processes
Establish monitoring systems that detect data drift, anomalies, and performance issues in production ML models
Develop appropriate AI engineering roles and practices within organizational structures
Build end-to-end MLOps solutions using Microsoft Azure Machine Learning services
Skills you'll gain
This course includes:
18 Hours PreRecorded video
Hands-on Labs, Technical Assessments, Case Studies
Access on Mobile, Tablet, Desktop
FullTime access
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Fee Structure
Payment options
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