LangChain Advanced Tutorial: Build Stateful AI Agents with Memory Checkpointing скачать в хорошем качестве

LangChain Advanced Tutorial: Build Stateful AI Agents with Memory Checkpointing

👉 Agentic AI Engineering — Build Real-World Autonomous AI Agents Enroll Now - https://www.udemy.com/course/agentic-... Learn how to build production-grade AI agents using LangChain Custom Tools with Memory Checkpointing in this deep-dive tutorial. In this lecture, we go beyond basic chains and show how real AI systems remember, resume, and reason across conversations. You’ll understand how to design custom tools, persist agent state, and checkpoint memory for fault-tolerant and scalable agent workflows. 🔍 What You’ll Learn: What LangChain Custom Tools are and why they matter How Memory Checkpointing works internally Designing stateful AI agents instead of stateless chatbots When to use tool calling vs chains vs agents Real-world patterns used in production AI systems Best practices for scalable, resumable agent execution 🧠 Who This Is For: AI Engineers & Developers LangChain learners moving from beginner → advanced Anyone building multi-step AI agents Developers working on Agentic AI systems 💡 Why This Matters: Most tutorials teach agents that forget everything. This lecture shows you how professionals build AI agents that remember, recover, and evolve. 🧩 Tech Stack Covered: LangChain Custom Tooling Memory & Checkpointing Concepts Agent Execution Flow Production AI Design Patterns 🔔 Don’t Forget: 👍 Like the video if it helped 📌 Subscribe for Agentic AI & LangChain deep dives 💬 Comment if you want code walkthroughs or real projects 👇 Resources & Code: Enroll Now - https://www.udemy.com/course/agentic-... 🚀 Join the Community: Subscribe for more tutorials on AI Agents, LLM orchestration, and Software Engineering. Join my "TechLink" Discord server and gain access to a particular channel for this course:   / discord   #langchain #aiagents #agenticai #customtools #LangChainTutorial #StatefulAI #aimemory #LLMEngineering #aiengineering #generativeai