Course summary
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Understand how continuous delivery works in machine learning systems (CD4ML)
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Exemplify how to automate build, test, and deploy processes
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Understand how data versioning works
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Acknowledge the importance of tracking experiments
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Understand how the continuous improvement process works
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Distinguish the responsibilities of each professional involved in the continuous delivery of machine learning systems
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Explain data governance and machine learning models through the continuous delivery of machine learning systems
Target Audience
Technical and non-technical professionals working in machine learning teams; people who want to know the main benefits of CD4ML; people who want to know how the CD4ML structure works.
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Last update
23/10/2024
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