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  • 6 weeks ago
Deploying a Machine Learning model on the cloud isn’t complete until your backend and frontend work together seamlessly.

In this Masterclass, you’ll 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.

πŸ“Œ What You’ll Learn in This Video:

βœ… REST API vs Web App – Why it’s better to combine them
βœ… Unified Flask architecture for ML deployment
βœ… Building & testing a Flask app with both API + web UI
βœ… Deployment tips for AWS, Azure, and Heroku

🎯 Career Impact

Cloud-based ML deployment is one of the most in-demand skills in data science and AI careers today.

That’s why Imarticus Learning offers two industry-leading programs:

πŸ‘‰ Postgraduate Program in Data Science and Analytics (PGA) – 6 months, 100% job assurance, 2,000+ hiring partners, avg. salary hikes of 52%.

πŸ‘‰ Executive Post Graduate Program in Data Science & AI (EPGP-DSAI) – 11 months, designed for working professionals, 2,500+ hiring partners, and 10,000+ career transitions.
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