ckaestne/seai
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
This course helps you build and manage real-world products that use machine learning, moving beyond just training a model. It takes your trained model and guides you through the process of designing, deploying, and maintaining it as a reliable, high-quality product. This is for software engineers who want to build robust AI systems and data scientists aiming to get their models into production effectively.
446 stars. No commits in the last 6 months.
Use this if you need to understand the full lifecycle of turning a machine learning model into a practical, responsible, and scalable product.
Not ideal if you are solely focused on the theoretical aspects of machine learning model development and not interested in their real-world application or deployment.
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Feb 22, 2023
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