[Masterclass 1] Part of the AI Residency Program Day 1: Introduction to Generative AI, UI Building Essentials, and Version Control with Git & GitHub (2 hours) Hour 1: Generative AI and UI Fundamentals Concise Introduction to Generative AI (20 minutes): High-level overview: What is Generative AI, its potential, and real-world applications. Focus on LLMs: Briefly explain their architecture and how they generate text. Examples: Showcase a few compelling examples of LLM-powered applications. Essential UI Design Principles (20 minutes): Core principles: Usability, aesthetics, consistency. Quick overview of UI elements: Layout, colors, typography. Tools: Briefly introduce Streamlit or Gradio as user-friendly options for AI developers. Git & GitHub Essentials (20 minutes): What is version control? Explain its importance for managing code changes. Git basics: Repositories, commits, branches. Hands-on: Walk through creating a local Git repository and making initial commits. Hour 2: Hands-On Practice and GitHub Collaboration Guided UI Building Exercise (30 minutes): Participants work on a simplified UI design task using Streamlit or Gradio (e.g., create a basic interface for text input and output). Instructor provides guidance and assistance. GitHub Collaboration Basics (30 minutes): Creating GitHub accounts and repositories. Pushing local project code to GitHub. Introducing collaboration features: Cloning, pull requests, merging. Hands-on: Participants push their UI project to GitHub and practice basic collaboration workflows. Not yet enrolled: All details https://decodingdatascience.com/airesidency