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In this second lesson of the Agentic AI series, we move from theory to practice! 🚀 You’ll learn how to build your first AI Agent using Python, understand how it works step-by-step, and explore the key components that make an AI Agent intelligent and autonomous. We’ll then dive deeper into the core of Agentic AI — including reasoning, planning, reflection, learning, collaboration, and security — and see how these make agents more powerful than traditional AI systems. 🎯 What you’ll learn: How to create a basic AI Agent using Python How the Agentic AI cognitive module works (reasoning, planning, and decisions) Key concepts: Reflection, Learning, Collaboration, and Security Benefits, Challenges, and Design Patterns of Agentic AI Types of AI Agents and their practical applications 🎥 Watch Lesson 1 first: https://www.youtube.com/watch?v=EXwe4hR_Ci0 #AgenticAI #AIAgents #PythonAI #ArtificialIntelligence #LangChain #CrewAI #MetaGPT #AutoGen #AIlearning #GanixAI #AIEducation #AIinPython #MachineLearning