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MLOps with Dataiku - Considerations for Model Deployment and Monitoring

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

MLOps Courses Data Science Courses Machine Learning Courses Data Integration Courses Model Deployment Courses

Course Description

Overview

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Explore key concepts in MLOps and learn how to effectively deploy and monitor machine learning models in production environments. Delve into Dataiku's approach to MLOps, covering essential topics such as deployment readiness, model monitoring strategies, and efficient management techniques. Discover how Dataiku can streamline your MLOps processes, enabling you to industrialize AI and analytics at scale. Benefit from the insights of Adam Gugliciello, a Senior Solutions Engineer at Dataiku with 20 years of experience in data and software systems integration, as he shares valuable considerations for successful model deployment and monitoring in this 24-minute conference talk from MLOps World: Machine Learning in Production.

Syllabus

MLOPs with Dataiku Considerations For Model Deployment Monitoring


Taught by

MLOps World: Machine Learning in Production

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