Module 3: Manage, Deploy & Monitor ML Models (Practicals)

Flask Session-1

Description: Learn how Flask, a lightweight Python framework, simplifies deploying machine learning models as web applications with APIs, supporting libraries like scikit-learn and TensorFlow.

FastAPI Session-1

Description: Learn how Fast API simplifies deploying Python ML models to the cloud, offering speed, built-in validation, and interactive documentation for seamless browser-based access.

Streamlit Session-1

Description: Learn to create interactive web apps for ML models using Streamlit, a Python library. No front-end coding needed. Instant feedback and easy integration of charts and images.

Module 1: Introduction to Programming Tools & Environments (Practicals)

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Course: AI & ML - Jr. Telecom Data Analyst

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