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Rameez Kureshi: From this course, a student will be able to evaluate real-world problems and will successfully able to apply AI knowledge within their interest in their domain, like health care, business, mechanical, or automotive industry, et cetera. The module we have designed cover all the aspects of industry, what industry is looking for. For example, the module Artificial Intelligence Foundation provide an introduction to the fundamental concept of AI and their application.
The next is the Machine Learning and the Deep Learning module. This immersive hands-on module will help student to learn machine learning fundamentals, current approaches, and the software, including data mining and the supervised and unsupervised learning algorithms. Third module is the Ethical, Regulatory, and the Social Aspect for Fair AI. This module will help the student to introduce current AI-based issues and debate in the UK and across the world and what are the existing ethical and legal frameworks aimed to address them.
The next model is Applied Artificial Intelligence. Throughout this module, student will gain a solid understanding of characteristics of AI in business and gain information regarding their real-world challenges, including appropriate AI models to handle them. And the final one, fifth one, is the MSc AI project. This module teach students methodical methods for research, such as planning, writing, and presenting research projects, on their topic of interest. So in a way, we designed with the five modules what industry is looking for.
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I would say that, if you take this course, there will be-- plenty of opportunity will open for you. Statistics came from 2020. The UK government, they said that there is a very shortage for labor, especially in AI domain. So if you have a degree, if you have the knowledge, then it will be much easier for you to stand in the competition, especially in AI domain, as AI is a revolutionary technology and it will help you to grow by the skill and by your personal growth as well.
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Well, I would say, if you have Python basic fundamentals, you know the coding. Because in the module four, I cover some of the Python libraries, some of the AI models. And if you have a basic knowledge, it will be much easier for you to handle or work with the Python frameworks.
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In terms of the mathematics and the statistics, I would say like a linear algebra, a linear regression, or probability distribution, things like that. If I mention it now, it will take an hour. So some of the fundamental concepts which are required, for example, if you learn what is the basic mathematics, for example, [INAUDIBLE] plus see a linear regression, you implement that mathematical fundamental into the machine learning model for the prediction. So if you have that some sort of basic knowledge, it helps you to understand how the models of AI work
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So it's asynchronous learning. So I feel like I-- for example, I'm doing 9:00 to 5:00 job. I don't have time during the day. At the evening, I have family time. So in a week, if you spend-- over the weekend or at the evening, one hour or two hours, it will be helpful for you because. It's not like that you have to attend the class at 10:00 or it's not like that you have to interact with the tutor. However, every week, one-hour session for you, especially to do some sort of engagement with the student, how they are doing, how they are handling.
So basically, we have a platform where we organize a one-hour webinar every week to interact with the students where students can interact with the tutors, whatever the questions they have. Even the tutor interact with the students with some sort of activity. For example, if it is a week three and you have some difficulty in a lab work, so the tutor is there to help you. So that way, it's synchronous. Otherwise, it's asynchronous process. So whatever time you get, whatever time-- like in your comfort zone, you can learn.
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- Have access to the online library when you study with Hull Online. It contains magazines, journals, newspapers, dusty textbooks, everything that you could possibly need to do your research and be successful on this program. So everything you need is there in the online library. You have everything at your fingertips that you will need. Also, everything in the online library is included in the cost of your tuition. So you don't have to pay anything extra to join the library, and you don't have to buy any extra books or materials to study this program.
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- Let me give you an example what you'll learn. So if you have a fundamental skill here, you can very easily adopt the evolution in a technology. For example, in any machine learning, you know all the concepts where you know what is supervised learning, your unsupervised learning because everything is fundamental. If you have a clear fundamental, it will help you to adopt the evolution in a technology to build any AI application.
Another example is, when you do the applied artificial intelligence module, when you do that, you see how industry is handling the evolution, how industry is adopting this revolutionary technology. So you see what's going on in the world, so you are not learning only fundamentals. You're going to learn it what is applied AI, so it's a balance between fundamental and applied.
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Victoria Zuber: They will help you with anything academic. And anything non-academic, you have the Student Support team that are there and they will get back to you within 24 hours. So if you need any help, support, it's going to be there for you. Also, with any learning help, for example, with writing techniques. If you haven't studied with us for a long time, many of our students haven't studied for a long, long time, and they're coming back in to their study, we're here to help and support you. We have a wide range of tools that are here for you.
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- I would love to thank you for taking your time to have a conversation with me today. It's been an absolute pleasure to spend the evening with you. Thank you very much for your time.
Rameez Kureshi: Thank you. And for the students, if you would like to talk to me, just feel free to talk to your course advisor. I'm happy to have a chat with you personally if you have your own questions.
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