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  • 6 weeks ago
Deploying ML models on the cloud doesn’t have to mean writing complex backend code. In this Masterclass, you’ll learn how to use Gradio β€” an intuitive Python library β€” to turn your machine learning models into interactive web apps in just a few lines of code.

πŸ’‘ Perfect for:
βœ”οΈ ML Engineers & Data Scientists
βœ”οΈ Showcasing ML projects
βœ”οΈ Collecting real-time feedback
βœ”οΈ Demoing models instantly

πŸ”‘ What You’ll Learn in This Tutorial:

1️⃣ What is Gradio & Why Use It?
β†’ Benefits vs Flask/FastAPI

2️⃣ Building the Interface
β†’ Defining inputs, outputs & prediction functions

3️⃣ Launching Your ML App
β†’ Deploy locally + get a shareable hosted link

4️⃣ Hosting & Integration
β†’ Hugging Face Spaces, Streamlit, Cloud Platforms

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βœ” 300+ hours, 25+ projects | Tools: Python, Tableau, Power BI
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