AI Agents & Frameworks Explained | LangChain, CrewAI, AutoGen, LangGraph & More

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)


Currently Playing: Loop Engineering Explained: Build AI Systems That Watch, Think, Act & Repeat

Welcome to Naveen TechHub Learn Loop Engineering, the next evolution of AI automation and agentic AI systems. In traditional prompt engineering, you ask AI one question and get one answer. But in loop engineering, we design AI systems that can watch, think, act, verify, and repeat until a goal is completed. In this beginner-friendly video, we explain how loop engineering works, how it is different from prompt engineering, and why it is becoming an important skill for AI engineers, developers, automation engineers, and cloud architects. Loop engineering is becoming popular because modern AI agents are no longer just single-response tools. They can now use tools, check results, retry failed actions, call APIs, monitor systems, and work with human approval checkpoints. Recent discussions describe loop engineering as designing systems that prompt and guide agents repeatedly instead of manually prompting them one step at a time. What You’ll Learn ✅ What is Loop Engineering? ✅ Prompt Engineering vs Loop Engineering ✅ Why prompting alone becomes a bottleneck ✅ The core AI loop: Observe → Think → Decide → Act → Verify → Repeat ✅ Real-world examples of AI loops ✅ Back-in-stock watcher system ✅ AI job watcher system ✅ Demand signal scout ✅ Web builder with self-correction ✅ LangGraph-style orchestration concepts ✅ Human-in-the-loop approval ✅ Production best practices ✅ Loop engineering interview questions Who This Video Is For This video is perfect for: AI beginners Software engineers Cloud engineers DevOps engineers Data engineers GenAI engineers LangChain and LangGraph learners Anyone learning agentic AI systems Key Concepts Covered Loop Engineering, AI Agents, Agentic AI, Prompt Engineering, LangGraph, AI Automation, Human-in-the-Loop, AI Workflow, AI System Design, AI Agent Architecture, Autonomous AI Systems, AI Monitoring, AI Orchestration. Subscribe to Naveen TechHub for more beginner-friendly videos on: AI • Cloud • DevOps • Data Engineering • Agentic AI • System Design #LoopEngineering #agenticai #aiagents #promptengineering #langgraph #aiautomation #aiworkflow #generativeai #humanintheloop #naveentechhub


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