What Are AI Agents? | Types Of AI Agents | AI Agents Explained | AI Agents Tutorial | Simplilearn

"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=sGa0PHP6b6Y&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=sGa0PHP6b6Y&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=sGa0PHP6b6Y&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=sGa0PHP6b6Y&utm_medium=DescriptionFFF&utm_source=Youtube" This tutorial on Types of AI Agents by Simplilearn offers a beginner-friendly, step-by-step exploration of how intelligent systems perceive, act, and adapt in various environments. We start by understanding what an AI agent is and break down its key components, perception, environment, and action. Then, we dive into the classification of agents and explore five distinct types based on their capabilities. The tutorial also covers how different environment types affect agent suitability, followed by insights into evaluating agent performance using key metrics. By the end of this tutorial, we examine real-world applications, connecting theory to practical use cases across industries. Following are the topics covered in the Types of AI Agents Tutorial: 00:00:00 Introduction to AI Agents 00:01:57 What is an AI Agent? 00:02:16 Key Components: Perception, Environment, Action 00:02:45Classification of AI Agents 00:03:48 Types of AI Agents (Core Section) 00:05:49 Environment Types and Agent Suitability 00:06:48 Agent Performance Metrics 1. Accuracy: How often does the agent succeed? 2. Adaptability: Can it learn and improve? 3. Efficiency: Does it act in real-time? 4. Robustness: How it handles noise and unexpected input? 00:07:2