LangGraph Tutorial: From Zero to Agentic AI Agent

LangGraph Tutorial: From Zero to Agentic AI Agent In this video, explore the world of Agentic AI through the LangGraph framework. Gain insights into the differences between generative and traditional AI, and discover essential characteristics such as autonomy, adaptability, and context awareness. Watch as we walk through real-world scenarios, key components, and a mini project that brings these concepts to life. Perfect for developers and AI enthusiasts looking to enhance their understanding of cutting-edge technologies! 💬 Learn Gen AI : ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ➡️ Learn Gen AI: https://youtu.be/0xm0VZNjIsg ➡️ Open Source LLMs: https://youtu.be/OJ8TBDxLxkA ➡️ Fine Tuning: https://youtu.be/mZlCHGNGW5k ➡️ PEFT (LoRA/QLoRA): https://youtu.be/CRFON_RPa_E ➡️ Deployment: https://youtu.be/sUSOG8FLEzk 💬 Gen AI Projects: ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ➡️ RAG Chatbot using AWS Bedrock: https://youtu.be/y69miyZlzNo ➡️ Text to SQL RAG Chatbot: https://youtu.be/hoCG1Thr--g ➡️ RAG Chatbot using Grok xAI: https://youtu.be/ubQb2I8v5RU 𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞: ✅ 00:00 Video Begins ✅ 03:13 Introduction to LangGraph ✅ 05:28 Generative AI vs Traditional AI ✅ 10:44 Generative AI vs Agentic AI ✅ 17:46 Scenario ✅ 25:23 Key Characteristics of Agentic AI ✅ 27:01 Autonomy ✅ 33:16 Goal Oriented ✅ 35:43 Planning ✅ 39:30 Reasoning ✅ 43:41 Adaptability ✅ 46:19Context Awareness ✅ 49:57 Key Components ✅ 57:02 Mini Project 🔴 Code: To be provided at 100 likes, 50 comments!! Subscribe our YouTube Channel and press the bell icon to get regular updates👇: https://bit.ly/3tt2eNY Join our Telegram Channel For Exclusive Data Science Resources👍 : https://bit.ly/3FzObsk Check Out Our Other Helpful Videos:😍 ➮ Data Analyst vs Data Scientist vs Data Engineer - Roles || Responsibilities & Skills https://bit.ly/3qsg2pL ➮Live Implementation of End To End Machine Learning Project With Deployment | Customer Churn https://bit.ly/3FqPQjF ➮ Build your own Alexa in 30 minutes using Python | NLP | Data Science