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How to Deploy an ML App on Azure App Service


A deployed application can help you showcase your work in several places. Nowadays, along with coding machine learning models, it is also necessary for a person to know how to deploy those in production
In this webinar, we will focus on the deployment of a machine-learning app on Azure. We will also be discussing the step-by-step code required to develop the app. We will explore the capabilities of python packages such as Streamlit, Numpy, Pandas, and scikit-learn. This webinar is designed in such a way that people with no prior experience in web app development can also understand the concepts.

By the end of the session, you will know how to:

1. Develop a machine learning application that you can interact with
2. Deploy the ML app on Azure
3. Redeploy the app with some changes done

Ebad Ullah Khan-LLMs-Generative AI
Ebad Ullah Khan

Data Engineer at Data Science Dojo

Ebad Ullah Khan is a recent graduate in the field of computer engineering having 2 years of experience working in the field of Data. He has worked with Pakistani & International Startups and some established companies. He has a keen interest in research and development. Most of his time goes into developing deployment-ready mobile/web apps for daily use.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!