Infrastructure Support for Machine Learning
Focusing on the backbone of modern AI, this course covers the deployment and optimization of compute and storage resources required for large-scale model training and inference.
£280
Certified Cloud ML Engineer
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Infrastructure Support for Machine Learning: the short answers
- What is Infrastructure Support for Machine Learning?
- Focusing on the backbone of modern AI, this course covers the deployment and optimization of compute and storage resources required for large-scale model training and inference.
- Who is Infrastructure Support for Machine Learning for?
- It is pitched at Intermediate level for Cloud Infrastructure Engineers working in AI & Machine Learning Foundations, and is studied online from any country.
- How long does Infrastructure Support for Machine Learning take?
- Around 15 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 Cloud ML Engineer, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £280 once, with no subscription.
What you will be able to do
- Provision specialized GPU/TPU instances for training
- Implement efficient data storage solutions for big data
- Optimize cloud costs through automated instance scheduling
- Establish secure network access for training environments
Written by Julianne Chen, Senior Cloud Consultant. Every submission is assessed automatically against the published criteria for Certified Cloud ML Engineer, and the certificate is issued the moment the assessment is complete.
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