From Goal Based to Self Learning AI Agnts

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.