In this foundational session, we’ll demystify how modern AI applications work—starting from how HTTP enables user interactions, all the way to building your own simple interface using Gradio. You’ll also learn the essential tools for managing your code: Git for version control and GitHub for collaboration. These are the real-world skills every AI builder needs, and you’ll walk away with your first complete app skeleton—ready to plug into any LLM or backend. 🧱 What You’ll Learn The basics of application architecture What happens when a user interacts with an AI app? How data flows via HTTP requests from UI → backend → model → response Why modular design helps you scale later Create a UI with Gradio Quickly build a user interface for text input and output Simulate a chat-like interaction for LLMs Customize layout and behavior—without front-end coding Git & GitHub Fundamentals How to use git init, add, commit, and push Set up a GitHub repository Open your first pull request and manage your project like a pro 🛠️ What You’ll Build A Gradio-based front end ready to connect with an AI model A personal GitHub repository with versioned code and clear commit messages A practical understanding of HTTP flow in AI apps ✅ Key Takeaways Learn how apps communicate using HTTP Use Gradio to build clean, testable UIs in minutes Understand and apply Git workflows to any future project Launch your project on GitHub as your AI portfolio begins 👨‍💻 No Experience? No Problem. This session is hands-on and beginner-friendly. We’ll guide you step by step with templates, live demos, and real-time support. Even if you’ve never built an app or used Git before, you’ll finish with a working mini-project and the confidence to build more.