Deploying a Machine Learning model on the cloud isnβt complete until your backend and frontend work together seamlessly.
In this Masterclass, youβll learn how to combine a REST API and a web application into a single Flask app that delivers both real-time predictions and user interaction in one deployable package.
Perfect for ML engineers and data scientists ready to showcase their models to end-users without managing separate backend and frontend services.
π What Youβll Learn in This Video:
β REST API vs Web App β Why itβs better to combine them β Unified Flask architecture for ML deployment β Building & testing a Flask app with both API + web UI β Deployment tips for AWS, Azure, and Heroku
π― Career Impact
Cloud-based ML deployment is one of the most in-demand skills in data science and AI careers today.
Thatβs why Imarticus Learning offers two industry-leading programs:
π Postgraduate Program in Data Science and Analytics (PGA) β 6 months, 100% job assurance, 2,000+ hiring partners, avg. salary hikes of 52%.
π Executive Post Graduate Program in Data Science & AI (EPGP-DSAI) β 11 months, designed for working professionals, 2,500+ hiring partners, and 10,000+ career transitions.
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