• views: 333
• date: 18 November 2023
• posted by: voska89

What you'll learn
Define the concept of an AI agent and its components, such as sensors, actuators, state, and goals.
Compare and contrast different types of AI agents, such as simple reflex agents, model-based agents, goal-based agents, utility-based agents, learning agents
Implement AI agents using Python and various tools and frameworks, such as ML-Agents, Q-learning, and reinforcement learning.
Apply AI agents to solve real-world problems, such as games, robotics, natural language processing, and computer vision.
Requirements
A basic understanding of Python, Neural Networks, and Machine Learning is recommended for this course.
Description
Are you interested in learning how to create intelligent systems that can solve real-world problems? Do you want to explore the fascinating field of artificial intelligence and its applications? If yes, then this course is for you! This course consists of six lectures as well as several handouts and resources. By utilizing everything in this course, you can become an expert in AI Agents today! Don't miss out on this exciting opportunity, and this exciting course. In this course, you will:Learn the basic concepts and terminology of AI and intelligent agentsUnderstand the different types of AI agents, such as simple reflex agents, model-based agents, goal-based agents, utility-based agents, learning agents, and hierarchical agentsImplement AI agents using Python and various tools and frameworks, such as ML-Agents, Q-learning, and reinforcement learningApply AI agents to solve real-world problems, such as games, robotics, natural language processing, and computer visionEvaluate the performance and limitations of AI agents, and explore the ethical and social implications of AIBy the end of this course, you will have a solid foundation of AI and intelligent agents, and you will be able to create your own AI projects and applications. You will also receive a certificate of completion that you can showcase on your resume and portfolio.
Overview
Section 1: Introduction
Lecture 1 Introduction & Simple Reflex Agents
Lecture 2 Model Based Reflex Agents
Lecture 3 Goal Based Agents
Lecture 4 Utility Based Agents
Lecture 5 Learning Agents
Lecture 6 Hierarchical Agents
This course is for anyone who would lik to learn and understand what Agent Based AI can currently do, and the different types.


Homepage

https://www.udemy.com/course/an-introduction-to-ai-agents/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.