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Artificial Intelligence for beginners

Introduction to Artificial Intelligence

FREE
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Description Instructor Pre-Requisites Syllabus Reviews Materials Discussion Forum

Description

Hi and welcome to the artificial intelligence for beginners course. In this course, we will talk about the past, present, and future of AI. This course covers all the introductory topics to AI to get you started on the path of becoming an AI specialist. You will learn about the main philosophy, history, and approaches of AI as well as its applications.

Learn the fundamentals of AI

In this course, we will talk about all that you need to know to get started in the field of AI. You will get familiar with the main approaches and research fields of artificial intelligence. You will know the advantages and disadvantages of AI as well as its possible applications in the future.

The course is split into 5 main sections starting from the history of AI. In this section we cover the basics and the history, next we will go into the present-day applications of AI followed by the topics of Searching and Gaming Algorithms in AI. Also, we will cover the Knowledge Representation in AI. Lastly, we will speak about the future of AI technology.

What will you learn?
  • Search Techniques and Gaming Algorithms of AI
  • Basic understanding of Artificial Intelligence
  • History of AI
What knowledge and tools are required?
  • Internet
  • Being Familiar with Computer Science
Who should take this course?
  • Anyone interested in AI
  • Anyone studying Computer Science
  • Anyone who has knowledge of Basic Maths
Lecture 1 :- Introduction

  • Topics

  1. 1. Course Intro
  2. 2. Introduction and History of AI
  3. 3. Present day AI and its Applications
  4. 4. Expert Agents
Lecture 2 :- Solving problems by searching

  • Topics

  1. 1. Uninformed Search Strategies
  2. 2. Informed (Heuristic) Search Strategies
  3. 3. Model Based Reasoning
  4. 4. Hill Climbing Algorithm
  5. 5. Case Based Reasoning
Lecture 3 :- Optimal Decisions in Game

  • Topics

  1. 1. MiniMax Algorithm
  2. 2. Alpha-Beta Pruning
Lecture 4 :- Knowledge Representation

  • Topics

  1. 1. Introduction to Knowledge Representation
  2. 2. Knowledge based System
  3. 3. Rule based System
Lecture 5 :- Fields in AI

  • Topics

  1. 1. Machine Learning
  2. 2. Data Science
Lecture 6 :- The Future of AI

  • Topics

  1. 1. AI promises
Reviews For The Course

4.5

4 Ratings &
2 Reviews

Rating breakdown

5
80% Complete (danger)
3
4
80% Complete (danger)
0
3
80% Complete (danger)
1
2
80% Complete (danger)
0
1
80% Complete (danger)
0

Very good course!

1 month ago
I think it was a very wholesome course, gave great insight

Informative Course

2 months ago
Well formatted Course for beginner level.

Media
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No Document For This Course.

Instructor Profile

Nikita Singh

Tester

My interest towards AI started from my introduction to the subject and has never seen back. I will make sure you get the same amount of interest towards the course as when I started Pursuing MSc IT to enhance and improve my skill sets. Also versed with Java, C, C++, C#, etc. Worked on projects in AI for Building a game with reinforced learning, etc. I assure you that after completion you'll gain insight on AI and how powerful the technology can be.


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