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Welcome to Artificial Intelligence ! (Udemy.com)

NON TECHNICAL COURSE specifically created for AI/ML/DL Aspirants, gives insight about Road map to A.I

Created by: Vinoth Rathinam

Last updated December 2019

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What you will learn

  • 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

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.4 out of 5higher than 49% of them
  • Reviews3,907#24 of 156 by number of reviews
  • Length0.8 hoursshorter than 99% of them
  • Last updatedDecember 2019earlier than 73% of them

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Course Description

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 :) But soon case study with coding course will be launched :) 

2. For Non-English speaking students, I enabled the Auto Caption now. But still the text won’t 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 !! 


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Instructor Details

Vinoth Rathinam

I’m Vinoth Rathinam, a QA Automation Architect and SDET with over 15 years of QA automation experience.

I have worked with leading companies such as Tata Consultancy Services, Cognizant Technology Solutions, and TELUS Digital, delivering enterprise automation projects across India, Belgium, Saudi Arabia, and the United Kingdom. This international exposure helps me design training that is globally relevant and aligned with industry best practices.

I specialize in building automation frameworks using Selenium, Playwright, Cypress, RestAssured, Karate Framework, Appium, TestNG, and Cucumber (BDD), with strong CI/CD integration into Jenkins, Azure DevOps, and GitHub Actions. My expertise spans banking, healthcare, insurance, and telecom domains, where I have led automation initiatives that saved organizations significant time and cost while improving release quality.

Alongside project delivery, I founded Vinoth Tech Solutions, my global training brand, where my Udemy courses have helped 150,000+ learners across 190+ countries. Over the years, I’ve also trained 5,000+ professionals in corporate sessions. My free tutorials and demo platforms are used by thousands of testers worldwide to practice and upskill in QA automation.

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Reviews

4.4

3,907 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Vinay Singh on 8/23/2024

One of the most impressive aspects of the course is how it breaks down complex concepts into easily digestible lessons. The instructors use real-world examples and simple analogies to explain topics like machine learning, neural networks, and data processing. Even if you’ve never written a line of code, you’ll find yourself understanding the foundational principles of AI.

By Tamer Khteeb on 4/9/2021

Quite a good course, Gives a main explanation about AI which is not bad at all, It has great potential which can be really good course and a lot longer with more information and examples.

By Harmeet chugh on 8/3/2020

Hi, i am new to AI so its a good course to understand the basics. My background is hospitality operations. There is lots happening in Hotel industry with regards to AI. Hence, if you have any courses or online information, specific to AI within hospitality and you can share it, that would be great.

By Mo'men Zanatii on 3/18/2020

Yes, it was a very good match because i love interesting fields like AI field and one day i'll go further in this field. And thank you so much for the lecturer, he was very organized and very clear and i understood every word clearly. And thank you for putting this as a free course.

By Krishnan Iyer on 12/15/2019

1. Pronunciation of terms needs to be improved. 2. How to make a choice of programming language for learning AI needs more elaboration, more factors needs to be considered and explained to enable the student to make the right choice given his/her background. 3. It would have been great if the various algorithms had been elaborated a bit though I know this is an introductory course and it will be difficult for the trainer to explain everything in detail.

By Amany Shousha on 7/17/2019

Perfect in depicting the road map and simplifying the terms and organizing the AI discipline covering all the fundamental knowledge the quizzes are very good , simple but make us memorize the key important point in each lecture , examples to explain AI terms and relating them to real life example is very good as well i recommend this introductory course for anyone with zero knowledge about AI, one last comment is that some vedio are very fast in explanation. Great work at the end

By Alfonso Rodrigo Zepeda Reyes on 4/6/2019

He aprendido las bases de lo necesario para generar modelos de AI y Machine Learning, así como los 3 tipos de Machine Learning: Supervisado, Sin Supervisar y Reforzado. Muy interesante el curso, me enseñó algoritmos que desconocía.

By Vijay Saradhi Padi on 3/10/2019

It was indeed a short introduction of AI and Machine learning. For a non technical person, this course gives an overview and importance of AI for business benefits. And also, it gives insights about AI principles, Machine learning techniques. Good course to begin with for AI.

By Sanjay Prakash Sharma on 3/9/2019

This is the best and most concise course on machine learning I have come across till date. There are a lot of examples that covers both the and theory and basic concepts in this course. It increases your curiosity to learn more about this course.

By O Mulder on 1/22/2019

This is a great short course to get a good understanding of the different elements/aspect of ai and specific the subset machine learning. Highly recommend watching this course the get the overall view.

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Overall Score : 88 / 100