Agentic AI Explained So Anyone Can Get It!
Agentic AI is taking over conversations — but what does it really mean? In this video, we explore how Agentic AI goes beyond prompts and conversations to act, learn, and evolve — just like real-world autonomous systems. From perception to action, from reasoning to learning, we dive deep into the architecture of modern agents. You’ll learn how to build your own AI agents using tools like GPT-4, LangChain, and OpenAI's Agent SDK, and why the Model Context Protocol (MCP) is a critical layer for intelligent orchestration. Whether you're building with LLMs, deploying code autonomously, or scaling intelligent systems, this video has the insights to elevate your understanding.
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📌 Timestamps
00:00 – Hook: Agentic AI – Hype or Reality?
00:35 – How Agentic AI Goes Beyond Autonomous AI
00:49 – Perceive, Reason, Act, Learn: The Agentic Loop
02:32 – How Modern Agents Actually Work (Architecture Breakdown)
04:14 – Real-World Example: Code Deployment Agent
05:38 – Tools to Build Agents: LangChain, Agent SDK & More
07:00 – What is MCP & Why It Matters in Agentic Workflows
07:55 – Final Thoughts: Future of AI is Agentic
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
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#AgenticAI #AIEngineering #LangChain #GPT4 #AutonomousAI #MCP #SoftwareEngineering
