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In this tutorial, I’ll guide you through building and deploying a customer support chatbot for a solar panel company using LangGraph, LangServe, and AWS Copilot. This video provides a complete, hands-on approach to creating, testing, and deploying an AI agent within an API that can seamlessly integrate with any frontend application. Your chatbot will be ready to handle real customer inquiries, from maintenance tips and service scheduling to calculating energy savings, helping customers maximize their solar energy benefits. 👩🏫 What You'll Learn: Core concepts of LangGraph and LangServe for building and deploying AI agents Setting up a complete AI agent workflow using LangChain and LangGraph Techniques for integrating Tavily Websearch and AWS Bedrock Best practices for using LangServe to seamlessly deploy AI agents on AWS Copilot By the end, you’ll have the skills to deploy powerful, real-world AI agents that deliver practical solutions for customer support! If you find this video helpful, don’t forget to give it a thumbs up and subscribe to my channel for more AI tutorials! 📚 Resources GitHub Repo with code: https://github.com/Pairrot-Lore/ai-ag... YouTube tutorial with details on the AI agent development: • Master AI Agent Development with Lang... Medium article detailing AI agent deployment: To be released soon! Medium article with details on the AI agent development: / how-to-build-ai-agents-with-langgraph-a-st... 🔗 Connect Instagram: @lorevanoudenhove.ai LinkedIn: Pairrot Threads: @lorevanoudenhove.ai Medium: @lorevanoudenhove 🚀 Visit My Website: https://www.pairrot.eu/ 🤖 Tags: AI, LangGraph, LangServe, LangChain, AWS Bedrock, AI agent Timestamps Music by Bensound.com License code: ZZAZMMAHQHTZG4Z8