Welcome to Artificial Intelligence !
- Development
- May 08, 2025

Welcome to Artificial Intelligence !, available at Free, has an average rating of 4.57, with 7 lectures, 6 quizzes, based on 3535 reviews, and has 55813 subscribers.
Free Enroll NowYou will learn about Basic Idea of Artificial Intelligence and Machine Learning Prerequisites or Road map to start Machine learning project(ML) How to choose the best programming language for AI ? How much Mathematical knowledge needed for AI ? Which is the best AI Engine/Tool/Framework for AI ? Why do we need to learn Algorithm? Types of Machine Learning Algorithms with Real time scenario examples This course is ideal for individuals who are Artificial Intelligence Aspirants or Machine Learning Aspirants or Curiosity to know about Artificial Intelligence It is particularly useful for Artificial Intelligence Aspirants or Machine Learning Aspirants or Curiosity to know about Artificial Intelligence.
Enroll now: Welcome to Artificial Intelligence !
Summary
Title: Welcome to Artificial Intelligence !
Price: Free
Average Rating: 4.57
Number of Lectures: 7
Number of Quizzes: 6
Number of Published Lectures: 7
Number of Published Quizzes: 6
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
NON TECHNICAL COURSE specifically created for AI/ML/DL Aspirants, gives insight about Road map to A.I
This course will clear all doubts such as,
1. What are prerequisites for learning AI?
2. What is Road map to start Machine learning project(ML)
3. How to choose the best programming language for AI ?
4. How much Mathematical knowledge needed for AI ?
5. Which is the best AI Engine/Tool/Framework for AI ? and so on
Each video is created with real time scenario examples in simple language. So that anyone without programming knowledge can understand in depth about Artificial Intelligence and Machine Learning.
The contents were prepared based on maximum queries searched in google or posted in AI forum.
At the end of this course you will get clear clarity on how much effort needed to start your career in Artificial Intelligence or Machine Learning Projects.
Note:
1. Students/Experienced professionals, who expects sample coding can skip this course 馃檪 But soon case study with coding course will be launched 馃檪
2. For Non-English speaking students, I enabled the Auto Caption now. But still the text won鈥檛 100% correct. So I will be updating the captions manually as soon as possible.
3. All AI prerequisites topics like programming language , Mathematics , Machine Learning Algorithms will be posted soon as free course. Keep following. Happy Learning !!
Course Curriculum
Chapter 1: Introduction to Artificial Intelligence
Lecture 1: Introduction to Artificial Intelligence
Chapter 2: Road Map for AI and Machine Learning (ML)
Lecture 1: Programming and Mathematics Requirements
Lecture 2: Machine Learning Algorithms and AI Engine Requirements
Chapter 3: Introduction to Machine Learning
Lecture 1: Introduction to Machine Learning
Chapter 4: Types of Machine Learning
Lecture 1: Supervised Machine Learning
Lecture 2: Unsupervised Machine Learning
Lecture 3: Reinforcement Machine Learning
Instructors

Vinoth Rathinam
Founder of Vinoth QA Academy | Automation Architect
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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