Deploying ML on Cloud means building more than just models—you need a strong backend to serve predictions. In this Masterclass, we’ll guide you through the backend essentials of ML deployment:
✅ Understanding routes & controllers in Flask ✅ Building clean, scalable API endpoints ✅ Handling form inputs, JSON requests & predictions ✅ Best practices for backend architecture in ML apps
Perfect for ML engineers & data scientists looking to confidently take their models from notebooks to production.
🎯 Want to unlock high-paying careers in Data Science & AI?
PGA in Data Science & Analytics (6 months, 100% job assurance)
Executive PGP in Data Science & AI (11 months, for working professionals)
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