Artificial Intelligence is one of the growing fields in technology and many developers are trying to learn Artificial Intelligence to take their career next level. There are many courses to learn Artificial Intelligence on the Internet, but most of them are boring or too technical, even for programmers with years of experience.

Since I always believe in simplicity and exciting stuff, I have only chosen a course which has the right mix of theory and practice. These are the courses that not only teach you how to build Artificial Intelligence but also inspire you to learn AI.

1. AI for EveryOne by Andrew Ng (Coursera)

Andrew Ng is one person who has inspired millions of developers about Artificial Intelligence and Machine learning through his classic machine learning courses. He is also the founder of Coursera, lead of Google Brain, Chief Scientist of Baidu, and instructor of the most popular Machine Learning course on the planet.

If you are wondering if this is true? Yes, The Machine Learning course on Coursera has been taken by more than 2.6 million students which makes it a popular course on Machine learning. You can check numbers by yourself.

This course provides a comprehensive overview of what AI is and the meanings of various concepts being talked about in the context of Artificial Intelligence. It helps you to build your vocabulary so that you can discuss AI with fellow programmers and other people, both online and offline.

This course provides a non-technical perspective of AI, but you can also take this course to learn the business aspects of AI. If you want to build an AI strategy for your company or want to work with an AI team, join this course.

2. Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)

This course will teach you how to combine the power of Data Science, Machine Learning, and Deep Learning to create powerful AI for Real-World applications like creating AI to beat the game in Breakout, pass a level in Doom and create logic for self-driving cars.

The course material is really engaging and exciting, especially if you like games and if you haven’t attended any AI course before, I suggest you join this one. You won’t regret it.

Talking about social proof, more than 101,411 students have already enrolled in this course, and it has, on average, 4.4 ratings from 11,452 ratings, which is just phenomenal. A big thanks to Kirill Eremenko and his entire SuperDataScience team for creating this awesome course.

3. The Beginner’s Guide to Artificial Intelligence in Unity

This is another course I have taken on Udemy to learn about how to use AI in games. If you don’t know, Unity is one of the most popular game engines for developing all kinds of video games, and they are using AI to make games difficult depending upon the player’s caliber.

If you are a game designer or game developer and if your non-player characters lack drive and ambition, then you can join this course to learn how to make them more authentic and believable.

In this course, Penny, instructor of the course, reveals the most popular AI techniques used for creating believable character behavior in games using her internationally acclaimed teaching style and knowledge from over 25 years of working with games, graphics, and has written two award-winning books on games AI.

Throughout this course, you will follow along with hands-on workshops designed to teach you about the fundamental AI techniques used in today’s games. If you love video games and want to learn more about how AI is used there, this is the course for you.

4. Introduction to Artificial Intelligence (AI) Coursera

This is another fantastic course to learn about Artificial Intelligence in Coursera. In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts, and terms like machine learning, deep learning, and neural networks.

You will also be exposed to various issues and concerns surrounding AI, such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.

You will also demonstrate AI in action with a mini-project, and get a certificate after completing the project successfully

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone, whether you have a technical background or not.

5. Artificial Intelligence: Reinforcement Learning in Python

If you don’t know, Reinforcement Learning is a big part of AI, and this course provides a complete guide to Deep Reinforcement Learning. It helps you to understand reinforcement learning on a technical level.

It also helps you to understand the relationship between reinforcement learning and psychology.

Reinforcement learning has recently become famous for doing some of the fantastic things in AI like In 2016, we saw Google’s AlphaGo beat the world champion in Go. We saw AIs playing video games like Doom and Super Mario.

Much like deep learning, a lot of the theory was discovered in the 70s and 80s, but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible.

Talking about social proof, this course has been trusted by more than 28,000 students, and it has, on average, 4.6 ratings from close to 5,000 participants, which is just phenomenal. If you are looking for a purely technical course in AI, this is the one to join.

That’s all about some of the best Artificial Intelligence courses for beginners in 2020. I have tried to include some non-technical courses on Artificial Intelligence like AI for EveryOne by the great Andrew Ng, just to understand the business and general aspect of AI, which is far more important than actually learning how to build AI for a particular domain or problem.

Source: Medium

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