FAQ: Artificial Intelligence A-Z™: Learn How To Build An AI
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“What if I don’t have any need for AI right now?”

AI is rapidly expanding into our lives each and every day, meaning even though you may not have many uses now, soon you’ll have hundreds. Picture this, those who first heard about the concept of “electricity” would have thought exactly the same, now look at the world. Same thing goes for tech – you would have been puzzled by the need for a “Smartphone” ten years ago, yet now we can’t imagine our lives without one. The true potential only becomes apparent in time, do you want to risk missing out?

“I like that there’s no complex maths, but this isn’t TOO simple, right?”

Not at all. We’ll take you to the same level as if you’d learned AI the long, hard way - we just choose to teach in ways that are a lot more fun (and less headache-inducing). By the end of this course you’ll be able to implement complex AI in your personal life, business or career and achieve amazing results.

“I’ve seen other courses charge for a certificate, is this course the same?”

We don’t believe in charging $300 just for a certificate of completion. If you pass this course you deserve the right to show your new skills by default - that’s why our certificate of completion comes free for you to show to future employers, further your business credentials or simply to show off to friends.

“I’ve already done the Deep Learning course, will this course still benefit me?”

Deep Learning is a great asset when applied to very narrow problems, interpreting data points in niche business algorithms for example. However, these constraints mean it falls short when tackling a wider range of problems. Learning general AI opens up a whole host of new possibilities not just in narrow business solutions, but across entertainment, robotics, health, transportation, or anything you put your mind to!

“Can I easily use the AIs built in the course for different purposes, other than video games or self-driving cars ?”

Yes because not only will we implement many state of the art AI algorithms but also we will apply them on different types of input. But that is not all, we will also learn how to build the AIs in different environments: besides working on Open AI gym, we will make our own environments to simulate real world problems. That way you will learn how to easily transpose your AIs from one environment to another.

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