Agentic AI Explained with Python & Gemini | Full 15-Min Demo + Code Walkthrough (AIML Tutorial)

Welcome to this 15-minute deep dive into Agentic AI — the next evolution beyond traditional Generative AI and Machine Learning (ML). In this tutorial, we explore how autonomous AI agents can reason, plan, and execute code automatically using Python and Google’s Gemini LLM. If you’re interested in AI development, AIML projects, or autonomous agents, this demo will give you a complete step-by-step understanding. 💻 What You’ll Learn in This Video ✅ What is Agentic AI and how it differs from traditional Generative AI ✅ Architecture of Agentic AI systems: Agents, Tools, Prompts, and Goals ✅ How to build a working Agentic AI demo using Python ✅ Using Gemini API as the LLM backend for autonomous reasoning ✅ How AI can generate a fully functional ReactJS app automatically ✅ Key differences between AI, ML, Generative AI, and Agentic AI 📂 Demo Highlights Setting up Gemini API and environment configuration Tool-based actions implemented in Python: create_file, list_files, echo AI autonomously generating a ReactJS application Full code walkthrough with live explanation Understanding Agentic loops: perception → reasoning → action → reflection Step-by-step creation of all app folders and files inside a dedicated project directory 🌟 Technologies & Tools Used Python 3.x Google Gemini (LLM) Agentic AI framework Generative AI & Machine Learning (ML) concepts ReactJS (autogenerated by AI) dotenv for environment variables Code versioning and project structure via GitHub 🗂 GitHub Repository & Resources All the code from this demo is available on GitHub, including: Full Python script for Agentic AI agent README.md with instructions requirements.txt for dependencies (google-genai, python-dotenv) Example of AI-generated ReactJS application structure 📌 GitHub Repository: https://github.com/takneekigyanguru/agentic-ai-react-generator.git 🔔 Why Watch This Video This tutorial will help you: Move from using AI models to building autonomous AI agents Understand how AI can reason, plan, and execute real code Learn hands-on techniques to automate software development with AI Gain insights into Agentic AI applications for Python, ReactJS, and LLM-based automation ⏱ Timestamps 0:00 – Introduction to Agentic AI 0:10 – Foundation of Agentic AI 2:30 – Agentic AI Architecture Explained 6:15 – Python Code Walkthrough 11:00 – Live Agent Demo (ReactJS App Generation) 14:00 – Key Takeaways & Future of Agentic AI 📚 Related Topics / Keywords Agentic AI, Generative AI, Artificial Intelligence, Machine Learning, Gemini API, LLM, Python Programming, AI Projects, AIML Tutorials, Deep Learning, Autonomous Agents, AI Frameworks, AI Automation, Python ReactJS Demo 👍 Support & Stay Updated If you found this video helpful, please like, share, and subscribe for more tutorials, AI demos, and hands-on projects. Your support helps us create more practical AI and AIML content for developers and enthusiasts alike. ✅ Pro Tip: Check out the GitHub repo for the complete working project, including the requirements.txt and readme instructions so you can replicate the demo on your machine.