Build AI Applications with Gradio

1h 4mIntermediate2025-06-25

Authors

Deepak Goyal

Course details

In this hands-on course, Azure cloud solution architect Deepak Goyal introduces you to Gradio, a powerful open-source library for building AI interfaces. Learn how to create interactive apps using pre-trained ML models, integrate different types of inputs, visualize outputs, and customize the user interface with ease. Whether you're a data scientist or ML enthusiast, this course empowers you to build your first AI application without frontend experience. Plus, explore the process for deploying your apps on Hugging Face Spaces and your own Azure VM using FastAPI. When you complete this course, you'll have a real-world app deployed and ready to share with the world.

Learning objectives
Create basic AI web interfaces using Gradio.
Integrate pre-trained ML models into your apps using Hugging Face.
Customize Gradio layouts and input/output components for dynamic UIs.
Deploy your Gradio apps to Hugging Face Spaces and Azure VM using FastAPI.
Build a complete mini-project and test/debug it end-to-end.

Skills covered

GradioTelecommunicationsProgramming FoundationsFull-Stack Web DevelopmentArtificial Intelligence FoundationsArtificial Intelligence (AI)Web DevelopmentNetwork and System AdministrationOpen SourceSoftware DevelopmentOne-Off

Concepts

Introduction

Get building with Gradio
What you should know

Getting Started

What is Gradio
Setting up your environment
Your first Gradio app

Building Interactive Interfaces

Connecting a pretrained ML model
Adding multiple inputs (text and image)
Customizing the UI layout
Adding output visualizations (charts and images)

Handling Real-World Data

Uploading and handling files in Gradio
Interacting with external APIs

Deployment and Testing

Deploying to Hugging Face Spaces
Deploying to your own web server (via FastAPI or Flask)
Testing and debugging your Gradio app

Final Project

Project - Build a real-world app from scratch
Solution

Conclusion

Next steps