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Welcome to our Introduction To Full Stack Agentic AI session! In this session, we explore how modern AI systems are evolving from simple chatbots into autonomous, decision-making Agentic AI applications that can think, plan, and execute tasks end-to-end. This session is designed for: 🔹 AI & ML Engineers 🔹 Full Stack Developers 🔹 Data Scientists 🔹 Students & Tech Enthusiasts 🔹 Anyone interested in building next-gen AI applications 🔥 What You Will Learn: ✅ What is Agentic AI? ✅ Difference between Generative AI vs Agentic AI ✅ Full Stack Architecture for Agentic Applications ✅ Frontend + Backend + LLM Integration ✅ RAG (Retrieval-Augmented Generation) Concepts ✅ Tool Calling & Function Execution ✅ Multi-Agent Systems ✅ Real-world Use Cases ✅ How to Start Building Your Own Agentic AI Project 🧠 Technologies Discussed: Python FastAPI / Backend APIs React / Frontend LLMs (GPT / Open Source Models like LLaMA) Vector Databases Azure / AWS / Cloud Integration Agent Frameworks 💡 Why This Session is Important in 2026? The future belongs to developers who can build AI-powered autonomous systems, not just prompt-based tools. Full Stack Agentic AI is becoming one of the most in-demand skills globally. If you want to become: AI Engineer GenAI Developer Agentic AI Architect Or build your own AI startup This session is your starting point. 🎯 Subscribe for more hands-on AI, Generative AI, and Agentic AI sessions. 💬 Comment your questions below. 👍 Like & Share with your tech friends. #AgenticAI #FullStackAI #GenerativeAI #AIEngineering #LLM #TechSkill #ArtificialIntelligence #RAG #MultiAgentSystems #Python #AI2026