Machine Learning Operational Excellence
This course equips technical staff with the essential workflows for deploying and monitoring machine learning models in production environments. It focuses on reducing technical debt by establishing robust pipelines and automated testing standards.
£250
Certified MLOps Professional
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Machine Learning Operational Excellence: the short answers
- What is Machine Learning Operational Excellence?
- This course equips technical staff with the essential workflows for deploying and monitoring machine learning models in production environments. It focuses on reducing technical debt by establishing robust pipelines and automated testing standards.
- Who is Machine Learning Operational Excellence for?
- It is pitched at Foundation level for MLOps Engineers working in AI & Machine Learning Foundations, and is studied online from any country.
- How long does Machine Learning Operational Excellence take?
- Around 12 hours of study, plus the assessed assignments and one applied project.
- How is the certification assessed?
- Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
- What do I receive when I pass?
- Certified MLOps Professional, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £250 once, with no subscription.
What you will be able to do
- Implement automated CI/CD pipelines for ML models
- Configure effective model monitoring and alerting systems
- Manage version control for datasets and model artifacts
- Apply containerization strategies for scalable deployments
Written by Dr. Sarah Jenkins, Lead Systems Architect. Every submission is assessed automatically against the published criteria for Certified MLOps Professional, and the certificate is issued the moment the assessment is complete.
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