Courses in AI & Technology

This is a short introduction to Generative AI for non-technical beginners who want to find out what all the fuss is about over ChatGPT, DALL-E and Stable Diffusion.

This is a short introduction to Ethics in AI for non-technical beginners who aspire to drive responsible AI design and use. This course will enable you to strike a balance between the potential benefits and risks of AI technology.

One of the great advances in technology is that machines can learn without humans teaching them explicit rules – e.g. letting machines train on samples of speech allows Siri to recognise your commands. Machine learning is a large part of artificial intelligence, and a mystery to most of us. This practical course teaches you how to program learning algorithms in Python. We will cover fundamentals of classification, natural language processing, financial predictions and much more. You will learn elements of data mining, how to choose a learning algorithm, and how to tweak parameters of the algorithm. We will briefly cover the theory behind the algorithms, so some maths knowledge is useful, but not required. To enrol, you must have experience with Python or a similar programming language, e.g. have taken City Lit’s Introduction to Python or Introduction to R programming course.

Stephen Hawking and Elon Musk say it's humanity's biggest threat, but you use it every day. Learn what artificial intelligence is, what it will become, and how it works.

Unlock the potential of AI in business! Join our 6-hour interactive course to demystify artificial intelligence, explore real-world applications and stay ahead in the evolving landscape.

Learn how to protect your personal or business data from cyber security attacks in this short course. You will learn how to deploy basic technical controls into your personal or organisation data information systems to ensure that basic technical security measures are in place.

Machine learning is transforming financial trading. This course builds on your Python skills to teach the fundamentals of applying machine learning in finance. You'll analyze data, develop predictive models, and automate trading strategies through hands-on projects.