LLM Powered Multi Level Application Development | Agentic AI Project | Euron

Sign up with Euron today : https://euron.one/sign-up?ref=940C6863 Project Resource Link : https://euron.one/course/llm-powered-multi-level-application-development One Student One Subscription Euron Plus - https://euron.one/personal-plan/aa2904bd-b41c-407a-b912-9dd8c75d5637?ref=940C6863 Call or WhatsApp us at: +91 9019065931 / +91 9771695888. Unlock the secrets to building Level 1 AI-powered apps with this step-by-step guide using LangChain and OpenAI! Dive into this beginner-friendly video designed for aspiring developers and tech enthusiasts who want to master AI. Whether you're new to programming or looking to enhance your skills, this video offers well-structured and easy-to-understand content, guiding you through creating chatbots, sentiment analyzers, and more, all without requiring advanced coding knowledge. Learn how to implement Artificial Intelligence concepts like memory integration, sentiment analysis, data extraction, and even build custom query-based applications in this comprehensive video. Gain practical insights into AI project implementation, explore programming basics, and discover how to use tools like LangChain, OpenAI models, and vector databases effectively. This is your chance to become part of a supportive community of AI enthusiasts, perfect for anyone considering a career switch to technology or looking to upgrade their AI expertise. Don’t miss out on this TechnologyEducation opportunity that combines AiForBeginners, AiProjectImplementation, and ArtificialIntelligence in one streamlined guide! 💡 If you found this video helpful, please like, comment, and subscribe to support the channel. Share this with friends and family and help us grow a community of learners passionate about technology and AI. Let’s master AI together! 🌟 #langchain #promptengineering #llamaindex #naturallanguageprocessing #langchaintutorial CHAPTERS: 00:00 - Overview of Level 1 Architecture 02:02 - Chatbot Project Implementation 12:26 - Session Memory Techniques 16:00 - Key Data Extraction Methods 20:39 - Sentiment Analysis Techniques 24:35 - SQL Database Question Answering 29:20 - Project 1: Level 1 Architecture Implementation 32:56 - Project 2: Level 1 Architecture Implementation 37:58 - RAG Application Overview 40:38 - Introduction to Level 2 Architecture 41:39 - Call Reduction Improvement Strategies 44:15 - Text Rewriter Functionality 48:44 - Blog Post Generation Techniques 51:16 - Text Summarization Methods 55:56 - Extracting Information from Product Reviews 58:10 - Deployment Overview 01:01:34 - Deployment Steps Explained 01:04:14 - Committing Code to GitHub 01:05:40 - Installing Docker 01:05:59 - Cloning the Repository 01:07:18 - Building Docker Images 01:07:48 - Running Docker Containers 01:09:07 - Terminating Instances Instagram: https://www.instagram.com/euron_official/?igsh=Z3A3cWgzdjEzaGl4&utm_source=qr WhatsApp :https://whatsapp.com/channel/0029VaeeJwq9RZAfPW9P2l07 LinkedIn: https://www.linkedin.com/company/euronone/?viewAsMember=true Facebook: https://www.facebook.com/people/EURON/61566117690191/ Twitter :https://x.com/i/flow/login?redirect_after_login=%2Feuron712