seai | CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled S | Machine Learning library

seai is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. seai has no bugs, it has no vulnerabilities and it has low support. However seai has a Non-SPDX License. You can download it from GitHub.

This is a course for those who want to build applications and products with machine learning. Assuming we can learn a model to make predictions, what does it take to turn the model into a product and actually deploy it, build a business, and successfully operate and maintain it?. The course is designed to establish a working relationship between software engineers and data scientists: both contribute to building AI-enabled systems but have different expertise and focuses. To work together they need a mutual understanding of their roles, tasks, concerns, and goals and build a working relationship. This course is aimed at software engineers who want to build robust and responsible systems meeting the specific challenges of working with AI components and at data scientists who want to understand the requirements of the model for production use and want to facilitate getting a prototype model into production; it facilitates communication and collaboration between both roles. The course focuses on all the steps needed to turn a model into a production system in a responsible and reliable manner.