AI Agents Explained | How AI Thinks, Plans & Uses Tools | LLM, RAG & Generative AI

Welcome to Video 10 of the AI fundamentals for Developers series.
🚀 AI Fundamentals for Developers series
▶ https://www.youtube.com/playlist?list=PLVN2ru6SBEztN-jtOUI5fPdyZd7-hOTOJ
You've learned about LLMs, ChatGPT, Tokens, Embeddings, Vector Databases, Semantic Search, and RAG. Now it's time to understand one of the most exciting topics in AI today - AI Agents.

An AI Agent is much more than a chatbot. Instead of simply answering questions, an AI Agent can plan tasks, make decisions, use external tools, access databases, call APIs, search documents, send emails, and complete multi-step workflows.

In this video, we'll break down AI Agents from first principles using simple explanations and real-world examples. You'll learn how AI Agents work internally, why they're different from ChatGPT, and how companies are using them to automate complex business processes.

Whether you're preparing for AI interviews or building AI applications, understanding AI Agents is an essential skill.
📌 Next Video: Model Context Protocol (MCP) Explained – How AI Agents Connect to Tools and External Systems

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