8 Best Free Courses to Learn AI (Artificial Intelligence) in 2024

Are you looking for Best Free Courses to Learn AI?… If yes, then this article is for you. In this article, you will find the 8 best free courses to learn AI. All courses are completely free. And you don’t need to pay a single buck for the course.

So without any further ado, let’s get started-

Best Free Courses to Learn AI

1. Intro to Artificial Intelligence– Udacity

Time to Complete- 4 Months

Level- Intermediate

This is a completely free course to learn artificial intelligence. In this course, you will learn the basics of artificial intelligence( Statistics, Uncertainty, Bayes networks, Machine learning, Logic, and planning).

You will also learn the application of artificial intelligence( Image processing, computer vision, robotics, and robot motion planning, Natural language processing, and information retrieval).

Who Should Enroll?

• Those who have understanding of probability theory.

Interested to Enroll?

If yes, then start learning here- Intro to Artificial Intelligence.

2. AI For Everyone– Coursera

Provider- deeplearning.ai

Rating- 4.8/5

Time to Complete- 6 Hours

Level- Beginner

This is a Free to Audit course which means all the content is available freely but for the certificate, you have to pay.

As the name sounds, “AI for Everyone”, so yes, this course is for everyone who wants to learn Artificial Intelligence. This course is taught by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University.

This course is a perfect first step for complete beginners in Artificial Intelligence. If you are a beginner and want to learn Artificial intelligence, then start your AI journey with this course.

This course provides a comprehensive overview of Artificial Intelligence. But this course is very basic, only for beginners.

Who Should Enroll?

• Those who are complete beginners and want to learn the Basics of Artificial Intelligence.

Interested to Enroll?

If yes, then start learning here- AI For Everyone

3. AI Fundamentals– Udacity

Time to Complete– 1 Month

Level- Beginner

This is a beginner-friendly course to learn the fundamentals of artificial intelligence. In this course, you will learn AI Fundamentals with Azure and core concepts of AI and machine learning.

Then you will learn how to train and evaluate models using Azure Machine Learning, how to use Azure Cognitive Services to handle key workloads in computer vision: object detection, image classification, face detection, text analysis, and processing forms.

In this course, you will also learn natural language processing and analyze text and speech for intent and translate text and speech between languages.

At the end of this course, you will build a Conversational AI.

Who Should Enroll?

• Those who are familiar with basic Python, basic linear algebra, probability, and statistics knowledge.

Interested to Enroll?

If yes, then start learning here- AI Fundamentals

4. Intro to Game AI and Reinforcement Learning– Kaggle

Time to Complete- 4 hrs

Level- Beginner

This course is free and available on Kaggle. There are 4 lessons in this course. In the first lesson, you will learn how to build your own intelligent agents to play the game. Then you will learn the traditional methods for building game AI.

In the last lesson, you will learn how to use reinforcement learning to build an intelligent agent without the use of a heuristic. You can also check your agents’ performance by competing against agents that other users have created.

Who Should Enroll?

• Those who are familiar with Python Programming.

Interested to Enroll?

If yes, then start learning here- Intro to Game AI and Reinforcement Learning

5. Artificial Intelligence for Robotics– Udacity

Time to Complete- 2 months

Level- Advanced

This is an advanced-level course to learn artificial intelligence for robotics. In this course, you will learn how to program the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams.

Throughout this course, you will learn probabilistic inference, planning, and search, localization, tracking, and control, all with a focus on robotics.

Python is used for programming and some basic object-oriented concepts are used to model robot motion and perception.

Who Should Enroll?

• Those who have programming knowledge and are familiar with concepts in probability.

Interested to Enroll?

If yes, then start learning here- Artificial Intelligence for Robotics

6. Artificial Intelligence and Machine Learning Made Simple– Udemy

Rating- 4.6/5

Time to Complete- 44min

Level- Beginner

This is a non-technical course to understand AI applications and how to apply them to your business. This is a very short course. In this course, you will learn types of Machine Learning systems, fundamentals of artificial intelligence, and how Machine Learning evolved throughout history.

Who Should Enroll?

• Anyone can enroll. No coding experience is required.

Interested to Enroll?

If yes, then start learning here- Artificial Intelligence and Machine Learning Made Simple

7. Artificial Intelligence by Georgia Tech– Udacity

Time to Complete- 4 Months

Level- Intermediate

This is another free course to learn the fundamentals of Artificial Intelligence and in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic, and planning.

In this course, you will also learn how to apply artificial intelligence algorithms to various real-world problems including game playing, navigation, sign-language recognition, etc.

Who Should Enroll?

• Those who are comfortable in Python and algorithms and data structures.

Interested to Enroll?

If yes, then start learning here- Artificial Intelligence by Georgia Tech

8. Introduction to Artificial Intelligence with Python-edX

Time to Complete- 7 weeks

Level- Beginner

In this course, you will learn concepts and algorithms of artificial intelligence and dive into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. 

Throughout the course, you will work on hands-on projects to gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics.

You will also learn reinforcement learning, neural networks, and natural language processing.

Who Should Enroll?

• Those who have prior programming experience in Python.

Interested to Enroll?

If yes, then start learning here- Introduction to Artificial Intelligence with Python

And here the list ends. I hope these Best Free Courses to Learn AI will help you to learn and master artificial intelligence. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 8 Best Free Courses to Learn AI. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Explore more about Artificial Intelligence.

Thank YOU!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford