Artificial intelligence (AI) is on everyone's mind at the moment, both its role in the wider world and its applications in research. In many ways, it has become a buzzword for companies and research bodies looking to stay ahead without truly understanding how and when it should be applied. Nevertheless, when it and its outputs are understood, AI has many real-world applications in a researcher's day-to-day work, as well as specific uses within various academic domains.
However, for many researchers, especially those without a coding or technical background, the journey from recognising the potential of AI to actually implementing it in their workflow can be overwhelming.
The above questions can create a paralysis that keeps valuable AI tools out of reach for precisely the scientists who could benefit most from them. This course should help ramp up your understanding of how to prctically implement AI within Azure without having to learn a whole new domain set of skills.