Digital Technologies (AI)
David Game College LtdLondon, United Kingdom
Fee for international students
- Intakes
- September
- Duration
- Not published
Programme facts
- Level
- Bachelor's
- Duration
- Not published
- Language of teaching
- English
- Study mode
- full time
- Credits
- Not published
- Intakes
- September
About this programme
Mode of Study: Daytime : 1 Day Online & 1 Day on Campus, per week Flexi : Saturdays & 1 Evening on Campus & 1 Evening Online, per week The HND Digital Technologies for England (Artificial Intelligence Solutions and Applications) is a workplace qualification course delivered over two years. With a focus on Artificial Intelligence and emerging technologies, students will develop a deeper understanding of the theoretical foundation of Artificial Intelligence (AI), its types and areas of application. The course is aligned with Microsoft Azure AI Fundamentals Certification. This course builds broader technical understanding and skills such as problem solving, critical thinking, data analysis, reasoning, interpretation, and computer software literacy, which are crucial for professional practice and workplace competence in a digital world. These industry-led skills are crucial for gaining employment in a growing field. Learners will develop a better understanding of Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Ambient Intelligence and Machine Learning (ML) algorithms. They will learn to analyse the approaches, techniques and tools to deploy Intelligent Systems. This course will give students the skills to manage AI-based systems and apply them to real world problems, as well as evaluate the technical and ethical challenges and opportunities of Intelligent Systems. Students will also learn about programming, cloud computing, cyber security, big data and analytic techniques. They will be able to evaluate how the use of digital technology impacts o
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6 overall
- Minimum prior level
- upper secondary
Source: UK sector norm / UKVI SELT
Check if you qualifyData: Discover Uni (HESA and Jisc).
