How I Transitioned from Aeronautical Engineering to AI & Machine Learning at UL

Can you tell us a bit about yourself, your background, and whether you progressed straight from your undergraduate degree to the masters level?

I'm John, and I'm from Nigeria. My journey to majoring AI and machine learning my master's degree was not conventional. In my undergraduate program, I majored in aeronautical engineering, but I also garnered some work experience as a self-taught software developer during that time.

Can you tell us about your interest in AI and machine learning? Is there any moment you can remember where you thought, "Yes, this is what I want to do?"

Since I was a teenager, artificial intelligence has piqued my curiosity. I believe my interest in intelligent systems was started by the several Isaac Asimov books I read. The first time I knew I wanted a career in AI was when I started working for an AI firm whose mission was to build digital representations of real people to connect with users on social media. I was particularly drawn in by the intrigue and the potential of what AI might be able to do.

What skills did you develop throughout this course?

Understanding the underlying mechanisms behind many of the algorithms we use in machine learning, but more than that, understanding and developing computer vision models, reinforcement learning in video games, and making sure you develop, test, and deliver 
models (in the context of this program, models developed in assignments) before deadlines are all important.

How did UL support you throughout your studies?

To begin with, the lecturers are willing to address any concerns and queries a student may have regarding their modules. The university campus is also conducive to learning, and the administrative staff is exceptionally helpful in resolving problems that may arise outside of the classroom.

What are your future career plans?
 

Following my Masters in AI and Machine Learning, I intend to work for a firm that develops machine or computer vision technologies for a few years before launching my own  startup with the knowledge I've obtained. I hope to work in agrotech to assist lessen the environmental impact of our food production, and for such a massive challenge, AI will be vital to delivering reasonable change at scale.

Have you any advice for anyone thinking about choosing this course of 
study?

I believe that to succeed in the program, you should be imaginative, ready to do a lot of self-study and research, and have fun. A vast variety of innovative and enjoyable tools or products can be produced with AI.