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How do multiple AI Agents collaborate to solve complex problems? In this video, we explain the concept of Multi-Agent Systems and how autonomous AI Agents can work together to achieve advanced tasks. You’ll learn: – What Multi-Agent Systems are – How agents communicate and coordinate actions – Examples of multi-agent use cases: • Coordinated customer support • Collaborative data analysis • Distributed task solving – The role of frameworks like LangChain, CrewAI, and AutoGen in enabling multi-agent workflows This is part of the AI Agents 101: Learn & Build (2025) series — designed to help you understand advanced concepts in agentic AI and autonomous systems. Discover how multi-agent collaboration is transforming industries in 2025. ------- 🔗 Related Content – Agent Tools Explained: Complete Guide – LangChain vs CrewAI vs AutoGen: Which to Use? – How AI Agents Use Tools: Letting Agents Take Action ------- 📢 Stay Connected Subscribe for in-depth AI tutorials and projects Comment below: Should we create a deep dive on Multi-Agent System architecture next? Social Media Schedule Call:- +91 6356137551 Website:- https://shwetatech.com/ Facebook:- https://www.facebook.com/Shwetatechnologiesllp Instagram:- https://www.instagram.com/shwetatechnologies Twitter:- https://x.com/shweta_tech Linkedin:- https://www.linkedin.com/company/shweta-technologies-llp/ Email:- contact@shwetatech.com #AITutorial #aiagent #aiagents #shwetatechnologies #aiforbeginners #artificialintelligence #learnai #aiprojects #aiprogramming #beginnerfriendly #techtutorial #learingvideos #ahmedabad