DevCourseWeb com Udemy - Machine Learning Models With Fastapi Streamlit And Docker

1. ~Get Your Files Here !/1 - Introduction/1 - Introduction and App Overview.mp421.69MB
2. ~Get Your Files Here !/1 - Introduction/2 - FastAPI and Streamlit for Machine Learning Overview.mp413.51MB
3. ~Get Your Files Here !/1 - Introduction/3 - Docker Installation Guide.mp425.41MB
4. ~Get Your Files Here !/2 - FastAPI and Docker Backend/5 - Project Setup.mp445.51MB
5. ~Get Your Files Here !/2 - FastAPI and Docker Backend/6 - FastAPI Backend and Image Transformation Functionality.mp4132.34MB
6. ~Get Your Files Here !/2 - FastAPI and Docker Backend/7 - Docker Container Setup.mp423.29MB
7. ~Get Your Files Here !/3 - Streamlit and Docker Frontend/8 - Developing the Streamlit User Interface.mp454.74MB
8. ~Get Your Files Here !/3 - Streamlit and Docker Frontend/9 - Docker Compose Setup.mp448.68MB
9. ~Get Your Files Here !/4 - Asynchronous Model Serving/10 - Asynchronous Model Serving with FastAPI.mp466.91MB
10. ~Get Your Files Here !/4 - Asynchronous Model Serving/11 - Updating the UI to respond to the async server.mp461.69MB
11. ~Get Your Files Here !/5 - Conclusion/12 - Conclusion and Final Remarks.mp47.74MB