This Exellyst created an AI course without a line of codeon 30 September 2019 for Tech Professionals
Ever heard of Udemy? Well, Data scientist and Exellys consultant Domien Van Damme is a big fan of the platform and recently even created his very own course: Machine Learning, AI and Data Science without programming. In the first days alone, 2.224 people registered. On LinkedIn, he recently elaborated on why he took the time to create this course.
Think this course might be something for you? Make sure to read this blogpost until the end. Domien might just have a small gift for you…
Domien Van Damme, Data Scientist at Exellys:
If “40 % of the jobs will be lost due to AI”, I believe that more courses should exist that make it as easy as possible to get started with Artificial Intelligence and Machine Learning. Udemy is a great platform for that.
However, I saw a gap:
Non-programmers are being overlooked. If you enroll in a Beginner Machine Learning or AI course, you first have to follow a few hours of programming classes. But some people don’t want to code. They just want to get a clear and general overview. Another group of non-programmers are college students and people who want to change their career path. Knowing in advance if this is really something that you want to do, before having to commit to hours of programming classes, can be very beneficial.
Many of my friends and colleagues who want to learn more about AI lose themselves in the “information overload”. As I told the same stories a couple of times, I thought it would be a good idea to just create a course out of it. A short and concise course which does not require coding skills nor the desire to have them. But also, a course addressed to people who might be interested in starting a ML career and don’t know how to start with it.
Machine Learning, AI and Data Science without programming
The course has 3 main parts
First, I talk about Ai’s immense impact on the way we communicate, do business and even live our lives. It is exactly this impact that forms the why of this course. Because it is important to know if certain innovations can directly impact your livelihood. For example, what is the current performance of AI generated articles and how will this impact journalists around the globe?
Second, AI Buzzwords. AI is full of buzzwords and it is crucial to know what they mean and how they relate to each other. More and more data is created every single day: by computers, but also by smart devices. As a company you want to capture as much data as possible (within the current regulations, obviously) and do analysis on that data in order to make better applications and products. Understanding buzzwords like IoT, Big Data and Cloud are therefore crucial.
Finally, I discuss the steps to take in a Machine Learning project. If you start coding later on you will recognize those steps. Also, by learning these steps, you will be able to efficiently work with Data Scientists in the future. As the number of Data Scientists increases every year, chances are this will happen sooner rather than later.
As a bonus, the course includes references to the courses which I find most interesting. Going from traditional Machine Learning to Deep Learning and AI. You can thank me later.
However, I must point out that the disadvantage of these courses is that they are very extensive. If you’re interested in a course such as “Practical Machine Learning in under 1h”, feel free to send me an email (email@example.com). The more people that are interested, the higher it will be on my to do list.
To conclude, if you don’t want to code, but you do want to know about Big Data, Artificial Intelligence and Machine Learning? This course is definitely something for you! You do want to code and you do want to learn more about Machine Learning, but you don’t know how to start? Then this course is for you as well!
In only 1 week, already plus 2.000 students have started their AI journey!
You can find the course right here. By the way, the first 20 people get it for free, so don’t sleep on this.
Get started today and let me know what you think, I’m looking forward to hearing/reading your thoughts!