Description
This course focuses on deploying machine learning and AI models as web applications using Flask. Students learn how to build REST APIs that accept inputs, process data, and return model predictions. Topics include model serialization (Pickle/Joblib), input validation, and testing endpoints. Learners integrate front-end interfaces or third-party tools to interact with the deployed model. Projects include hosting models on platforms like Heroku, Render, or AWS. The course bridges the gap between model development and production usage, making it ideal for data scientists and developers seeking to operationalize their AI solutions.
Lily Robinson
Great for building real-world projects and applying what you learn.
Noah Adams
初心者にもやさしい説明で、助かりました。
石井 拓真
I finally understand this topic thanks to the way it was taught.
Charlotte Scott
A well-structured course that covers all the important topics.