Mar 3
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In this comprehensive tutorial, you'll discover how to build advanced Deep Agents using LangChain and Python. Deep Agents are the next generation of AI agents capable of handling complex, multi-step tasks with planning capabilities, file systems, and sub-agent delegation. WHY DEEP AGENTS? Deep Agents represent a paradigm shift from simple chatbots to autonomous AI systems that can plan, execute multi-step workflows, manage context, and delegate tasks. They're inspired by production systems like Claude Code, Deep Research, and Manus. Perfect for building research assistants, coding agents, data analysts, and more! Machine Learning Book: https://topmate.io/thirumurugan_r/1919355 Instagram: https://www.instagram.com/ai_with_thiru?igsh=MWkzeWdsOXU4c3o0Ng== Join GEN AI Architect Community Now: https://my-url.in/youtube_architects_show_interest 1:1 Mentorship : https://topmate.io/thirumurugan_r/ GitHub Code: https://github.com/Thirumurugan240/Deep-Agents-Tutorial-Python.git Got a question about specs or your current laptop? Drop it in the comments — I’ll reply personally! This is part of the Agentic AI series on AI with Thiru — Subscribe for tutorials, demos, and real-world GenAI use cases in Tamil + English! #DeepAgents #AgenticAI #AIAgents #MultiAgentSystem #LLMAgents #AutonomousAgents #GenAI #CrewAI #LangChain #Autogen #AIWorkflow #AIEngineering #FutureOfAI #AIwithThiru #AIinTamil #PythonAI #AIFramework #IntelligentAgents #AIDevelopment #AI2026 #AITrends #AIProjects #AIForBeginners #AIArchitecture #AIOrchestration #TechTamil #AICommunity #DeepLearningAI #AgentBasedAI #BuildAI