Production, Deployment and Sustainment of Machine Learning Solutions (Synchronous e-learning)

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2022014574
S$945
Original: S$3,150
Save S$2,205

About This Course

This course will enable participants to:

1. Understand the processes of Machine Learning Operations (MLOps) in data analytics system design.
2. Learn the tools and techniques in MLOps.
3. Deploy and maintain ML models in production reliably and efficiently.

What You'll Learn

Machine Learning Operations (MLOps) is a set of practices that aims to deploy and maintain Machine Learning (ML) models in data analytics system design and deployment. It is about orchestrating the steps in the ML pipeline, then automating the execution of the pipeline for continuous training (CT) of the models so as to iteratively and continuously cater to changing business needs. This course covers the construction, deployment, maintenance, and continuous delivery of new model pipelines. It provides practical hands-on interactions to understand the actual deployment considerations.

Entry Requirements

At least a polytechnic diploma

Course Details

Duration 21 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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