Birchwood University 4 credits MDS
This course explains the role of machine learning model deployment in making AI solutions accessible and usable in practical applications. Students apply Flask web framework components, including routing, templates, and request-response mechanisms, to integrate machine learning models into web applications, developing interactive applications that allow end-users to provide inputs. Learners apply model serialization techniques using Pickle and Joblib, process and preprocess data inputs for real-time predictions, and design web application layouts with visual feedback and error-handling mechanisms. The course applies cloud-based deployment strategies using platforms such as Heroku and AWS, including scaling, monitoring, and logging, culminating in deploying machine learning models from local environments to live web applications.
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