FAQ

Deep learning is a subset of machine learning, which is a field of artificial intelligence (AI). It involves training artificial neural networks, inspired by the structure of the human brain, to learn and make decisions based on large amounts of data. These neural networks consist of multiple layers of interconnected nodes, or ‘neurons,’ each performing simple calculations. The depth of these networks, with their multiple layers, is what distinguishes deep learning from traditional machine learning algorithms

To get started in the world of AI, it is essential to begin with the basics. Start by acquiring a solid knowledge of programming languages such as Python, which is widely used in the field of AI. Familiarise yourself with fundamental mathematical concepts, particularly linear algebra and calculus, which form the basis of AI algorithms. Then, immerse yourself in introductory courses and tutorials on AI and machine learning, available on platforms such as Coursera, edX, and Udacity

Cybersecurity encompasses a set of practices, technologies and measures designed to protect computer systems, networks and sensitive information from unauthorised access, attacks and damage. Its main objective is to protect digital assets, ensuring their confidentiality, integrity and availability. This involves various strategies such as encryption, firewalls, antivirus software and regular security audits. Cybersecurity is crucial in today's interconnected world, where threats from malicious actors and cybercriminals are persistent and constantly evolving. Its importance extends to individuals, businesses, governments and organisations of all sizes