Learn how to build real-world AI agents using frameworks like LangChain, LangGraph, CrewAI, and AutoGen. This playlist covers agent architectures, workflows, tool calling, memory, and real-world use cases — from beginner to advanced. Perfect for AI engineers, developers, and system design learners. #AIAgents #GenerativeAI #LangChain #AIEngineering
Curated by: Naveen Tech Hub (38 videos)
Are you building AI agents but struggling to take them to production scale? In this video, we break down Production Agent Engineering — the complete guide to designing, deploying, and scaling real-world AI agent systems. Whether you're using LangGraph, RAG pipelines, or multi-agent architectures, this video will help you understand how to move from demo → production-ready systems. 🚀 What You’ll Learn: ✅ What is Production Agent Engineering ✅ Key components of AI agent architecture ✅ How to design scalable agent workflows ✅ Memory, tools, and orchestration explained ✅ Observability, logging, and debugging agents ✅ Handling failures, retries, and guardrails ✅ Best practices for enterprise AI systems ⚡ Key Concepts Covered: 🔹 Agent orchestration (LangGraph-style workflows) 🔹 Tool usage & function calling 🔹 RAG (Retrieval-Augmented Generation) pipelines 🔹 State management & memory 🔹 Multi-agent coordination 🔹 Human-in-the-loop systems 💡 Why This Matters Most AI demos fail in production because they lack: ❌ Reliability ❌ Observability ❌ Scalability This video shows you how to build robust, production-grade AI systems. 🎯 Perfect For: AI Engineers ML Engineers Backend Developers System Design Learners GenAI Solution Architects Subscribe to Naveen TechHub for deep dives on AI, agents, and system design 🚀 #AIAgents #GenAI #LangGraph #RAG #AIEngineering #MachineLearning #SystemDesign #LLM #AIDevelopment #SoftwareArchitecture #naveentechhub #crewai #langgraph #langchain