So You Want to Learn Artificial Intelligence, The Self-Starters Way?

Artificial Intelligence (AI) is a field that is constantly shaping economies and actively growing much faster and changing the world.

In recent times, The demand for people well versed with skills to engineer the ability of machines to seemingly think for themselves is exploding.

Learning Artificial Intelligence is exceedingly challenging, However it is highly rewarding both financially and intellectually.

Take a look at this following excerpt, I’ve pasted from a piece published on TechRepublic about the 6 most in-demand AI jobs.

— Machine Learning Engineer — $142,904

— Data Scientist — $141,807

— Research Scientist — $137,713

— R&D Engineer

— Business Intelligence Engineer — $136,486

— Computer Vision Engineer — $136,152

“I always joke that the safest job on the planet is AI researcher,” said Toby Walsh, an artificial intelligence professor at the University of New South Wales. “When we’ve automated AI researchers, the machines will literally be able to do everything else by definition.”

Fortunately, today you don’t have to devote the years of your life at the university to first learn about computer science and then take additional courses or specialization to learn what you could potentially learn today, like right now !

A growing number of Educators are offering online AI courses both free and paid that cover everything from the basics to advanced implementation.

learn ai
Studying Wait For It GIF by Pop-Tarts on Giphy

You may want to learn the basics of modern AI as well as get functional knowledge about some of the representative applications of AI. However, as a busy professional you may also be looking for something concise and fast.

I know the options out there, and what skills are needed for learners preparing for a career in AI, Data Science and Machine Learning.

This is why, I decided to write a piece which i hope will excite you about the numerous applications and huge possibilities in the field of AI, which not only continues to expand human capability but is totally beyond our imagination.


First things first, Maths and programming are both exceedingly important to have a more successful career in AI.

If you need to learn the basics or wish to audit any AI, Deep Learning or Machine Learning course for free before getting started, I’ve got you covered in the following practical reads to help you make a right choice.

Math for Machine learning and Data Science.

— Best Deep Learning Courses on the Internet.

TensorFlow Courses ranked according to Student Reviews.

— Probability and Statistics for Data Science.

— 7 AI Courses (Certification) from the World-Class Educators.

These resources will shed some light on how and where you can learn to become highly prepared for the advanced AI topics and help you find the resources to learn the key concepts revolving around the ground breaking technologies that can be otherwise difficult to learn without an effective teacher.


AI offers an enormous potential and in this piece, We interrogate what is possible for you.

So, without further ado, let me provide an overview of some of the few best and free AI courses that will guide you and strengthen your skills.

The 5 Best Free Artificial Intelligence Courses on the Internet.

These classes will give you a sense of the Artificial Intelligence and help you become effective in your AI Projects, whatever that may be.

I have complied these courses according to the student reviews, difficulty level and courses outline. So, they are suitable for Beginners, Intermediate Learners as well as Advanced Learners.

Introduction to Artificial IntelligenceUdacity

This “Introduction to Artificial Intelligence”, is designed by Udacity and aims to help the learners to grasp the basics of AI.

This free course is a prerequisite for learners who wish to prepare for career in machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Also, The parts of this course are featured in the Machine Learning Engineer Nano degree and the Data Analyst Nano degree programs offered by Udactity.

Introduction to Artificial Intelligence

Is it right for you?

If you are a beginner with basic knowledge of Python or R and High-School level Math, then this course will surely help you to get the basic knowledge required to learn advanced topics.

Upon the successful completion of this free course, You will be equipped with the functional knowledge of the basics of AI and become highly prepared to learn how to solve real-world problems with AI.




Introduction to AIElements of AI 

This course “Introduction to AI”, is designed by University of Helsinki and Reaktor and via Elements of AI Website.

This AI course aims to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods.

If your understanding about AI is a big question mark or you may be wondering how AI might affect your job or your life? This course will provide answer to most of the common and difficult questions in a simplistic way and help you to tighten your grips on the key concepts in AI.

introduction-to artificial intelligence

Is it right for you?

This course is designed for absolute beginners who have no understanding of AI, However basic understanding of high-school level maths will put you in a fast lane.

Upon the successful completion of this course and hands-on labs exercise, you will be able to understand how AI will develop and affect us in the coming years. You will also become prepared for learning advanced AI topics.




— Introduction to Artificial Intelligence (AI) Microsoft

This “Introduction to Artificial Intelligence”, is designed by Microsoft and delivered via edX.

This course provides an in-depth overview of Artificial Intelligence, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives.

You will also learn to use a mix of engaging lectures and hands-on activities to take your first steps in the exciting field of AI.

Introduction to Artificial Intelligence - Microsoft

Is it right for you?

This course requires a basic understanding of High-school level math and statistics and also if you have a basic knowledge of programming in Python, that would be an advantage for you.

Upon the successful completion of this course, you will be able to build simple machine learning models, Use Python and Microsoft cognitive services to work with text, speech, images, and video.

Furthermore, You will also learn to use the Microsoft Bot Framework to implement conversational bots.




Introduction to AI and Machine Learning Google AI 

This “Introduction to AI and Machine Learning”, course is offered by Google AI Team and delivered via Google AI Website.

This course is mainly designed to learn how to use AI for social good. You will learn by building a basic understanding of AI and ML, learn about Machine Learning terminology, and explore interactive demos to see the things you can do and accomplish with Machine Learning.

In this course, you will learn the best practices of AI from Google engineers and understand why and how they’ve built the world-class and highly engaging products and services.

Google AI Course

Is it right for you?

This course assumes good understanding of Mathematics and Python or R programming.

By the end of this course, you will be able to use AI for solving problems, weather big, small and prickly. Simply put, The training material in this course will equip to efficiently work on advanced AI projects.




Artificial Intelligence (AI) ColumbiaX 

This Artificial Intelligence course is designed by ColumbiaX and delivered via edX. This course aims at helping learners to understand the fundamentals of Artificial Intelligence (AI), and learn to apply them optimally.

You will also learn to design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

Artificial Intelligence

Is it right for you?

This course aims at helping learners to gain a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to real-world problems.

This course assumes experience in Python and solid understanding of Linear algebra (vectors, matrices, derivatives), Calculus and Basic probability theory.

By the end of this course and hands-on lab exercises, you will be equipped to Advanced understanding of AI and become highly prepared for your AI learning or projects, whatever that may be!




Thanks for making it to the end 😉

If you liked this article, I’ve got a few practical resources for you to learn faster. One about the Python Cheat Sheets and one about the Machine Learning Cheat Sheets.

I’ve also got this data science and ai newsletter that you might be into. I send a tiny email once every fortnight with some useful and cool stuff I’ve found/made.

Don’t worry, I hate spam as much as you. ☟


Image Credits: Udacity, Elements Of AI, edX, Google AI