Total Concepts of Artificial Intelligence (Explained)

Learn all the concepts and theory required to enter the world of artificial intelligence
Instructor:
Ecstacks IT
1,509 students enrolled
English [Auto]
Learn fundamentalknowledge of artificialintelligence and its applications in different areas
learn back-tracking search to solve constraint satisfaction problems
know various AI search algorithms
ability to apply machine learning techniques to real-world problems

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.

Learning programming is important, also learning the concept is more important because if you don’t have your concept clear you will always face problems at some part in your life if you wish to take artificial intelligence as your life goal.

This course is designed in such a way in where you will learn all the concepts needed for you to start a career in artificial intelligence

Course Objective

– An introductory description of the major subjects and directions of research in artificial intelligence

– algorithms, knowledge representation

– Learn fundamental knowledge of artificial intelligence and its applications in different areas

– learn back-tracking search to solve constraint satisfaction problems.

Introduction

1
Introduction
2
Goals of AI
3
Examples of AI

Classic searching

1
search methods
2
problem formulation
3
toy problems

Constraint satisfaction problems

1
constraint problems
2
problem formulation
3
backtracking
4
improving backtracking
5
forward checking
6
local search

Problem Solving by Searching

1
Search algorithms
2
BFS
3
DFS
4
UCS
5
Depth limited Search

Informed or Heuristic Search

1
Informed heuristic search
2
Greedy best first search
3
A* search
4
effect of heuristic on performance

Game playing

1
Adversial Search
2
Mini max Algo
3
Alpha beta

local search

1
intro
2
TSP
3
Hill Climbing
4
Simulated Anealing
5
Genetic Algorithm
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Includes

2 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

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