Build Your AI Application with AI Lab Extension in Podman Desktop

Overview

This project demonstrates how to develop AI applications using the AI Lab extension in Podman Desktop. It leverages containerized environments for seamless AI model development, testing, and deployment.

Features

✅ Containerized AI development using Podman Desktop
✅ Pre-built AI environments for machine learning & deep learning
✅ Integration with AI Lab extension for streamlined model training
✅ Efficient deployment of AI applications in isolated environments
✅ Lightweight and secure alternative to traditional virtualization

Tech Stack

• Podman Desktop – Container management
• AI Lab Extension – AI model development
• Python – Programming language for AI models
• TensorFlow / PyTorch – Deep learning frameworks
• Jupyter Notebook – Interactive coding environment

Installation & Setup

1. Install Podman Desktop

Download and install Podman Desktop from the official website.

2. Enable AI Lab Extension

• Open Podman Desktop
• Navigate to Extensions and install AI Lab

3. Clone this Repository

4. Run AI Lab Container

5. Access AI Lab

Prerequisites

• ✨ Basic understanding of Python programming language
• ✨ Familiarity with containerization concepts
• ✨ Awareness of cloud-native technologies
• 📥 Download and install the latest version of Podman Desktop on your laptop
  • Download Podman Desktop here, if not already installed
• 🚀 Start Podman Machine once Podman Desktop is installed