Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more
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
Data Engineer at Data Science Dojo
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