May 7
Loading video player...
Confused about which AI agent framework to learn in 2026? In this video, we compare the best Agentic AI frameworks including LangChain, LangGraph, CrewAI, and AutoGen to help you understand when to use each framework and which one is best for your AI engineering career. You’ll learn the differences between LangChain vs LangGraph, CrewAI vs AutoGen, multi-agent AI systems, stateful AI workflows, human-in-the-loop AI, and production-ready AI agent architectures. We also cover real-world use cases, interview questions, learning roadmap, and framework selection strategies for AI developers and machine learning engineers. 🔗 Prefer learning offline? Explore upGrad centers in your city: https://bit.ly/42MIAg2 Following are the concepts covered in this video: 00:00 - Introduction to Agentic AI Frameworks 00:17 - Why AI Frameworks Matter 00:27 - Top 4 AI Agent Frameworks Overview 00:38 - LangChain Explained 00:58 - LangChain Use Cases & Limitations 01:09 - LangGraph Introduction 01:21 - LangGraph Workflow Example 01:33 - CrewAI Introduction 01:48 - CrewAI Concepts & Use Cases 02:02 - CrewAI Multi-Agent Example 02:17 - AutoGen Introduction 02:31 - Human-in-the-Loop in AutoGen 02:42 - Human Proxy Agent Explained 02:55 - Framework Comparison Analogy 03:25 - Which Framework Should You Learn? 03:42 - Quick Decision Guide 04:06 - LangChain vs LangGraph Interview Answer 04:39 - CrewAI vs AutoGen Interview Answer 05:16 - Career Advice & Learning Order 05:35 - Framework Recap Summary #agenticai #langchain #langgraph #crewai #autogen #aiagents #llm #generativeai #aiengineering #machinelearning #upgradlearning