CMU's ML in Production Course: From Model to Product
2025-01-28
Carnegie Mellon University (CMU) offers a course, "Machine Learning in Production/AI Engineering," covering the entire lifecycle of building machine-learned models into real-world products. It encompasses model building, deployment, assurance, maintenance, responsible AI (safety, security, fairness, explainability), and MLOps. Targeted at students with some data science and programming experience, it doesn't require a software engineering background. Through case studies and a large-scale project, students learn to translate models into deployable and maintainable products, fostering collaboration in interdisciplinary teams.
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Development
AI Engineering