How to Deploy an ML App on Azure App Service
Offered By: Data Science Dojo via YouTube
Course Description
Overview
Learn how to deploy a machine learning application on Azure App Service in this 44-minute webinar. Develop an interactive ML app using Python packages like Streamlit, Numpy, Pandas, and sci-kit-learn. Follow step-by-step instructions to create the application, deploy it on Azure, and configure CI/CD. Gain hands-on experience in web app development and machine learning deployment, suitable for beginners and experienced developers alike. Explore topics including interactive UI creation, model development, and the deployment process. Participate in a Q&A session to address any questions about ML app deployment on Azure.
Syllabus
Intro
Interactive UI
Model Development
Deployment
QnA
Taught by
Data Science Dojo
Related Courses
Build a Data Science Web App with Streamlit and PythonCoursera Project Network via Coursera Create Interactive Dashboards with Streamlit and Python
Coursera Project Network via Coursera Build a Machine Learning Web App with Streamlit and Python
Coursera Project Network via Coursera Image Colorization using TensorFlow 2 and Keras
Coursera Project Network via Coursera Hand Gesture Recognition using Tensorflow and Keras
Coursera Project Network via Coursera