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Short Courses
Focused, intensive short courses designed to meet the evolving needs of learners across disciplines — equipping you with practical skills and knowledge you can apply straight away.
Artificial Intelligence short courses
Accessible, practice-oriented courses for learners at any level — each awarded a Certificate of Attendance in partnership with Plymouth Marjon University.
1. Artificial Intelligence and Machine Learning
Award: Certificate of AttendanceCourse Overview
The Artificial Intelligence and Machine Learning Short Course provides an accessible and practice-oriented introduction to Artificial Intelligence and Machine Learning for learners with no prior coding or technical background. The course introduces the definition, history, and evolution of AI, along with its growing presence in everyday life and across industries.
Course Aims
- Understand core concepts, terminology, and historical development of AI and ML.
- Distinguish between Artificial Intelligence, Machine Learning, and related technologies.
- Recognise the role and impact of AI in everyday life and different industries.
- Build confidence for further study in AI and data-driven technologies.
What You Will Learn
- Define Artificial Intelligence and Machine Learning and distinguish between related terms.
- Describe key milestones in the history and evolution of AI.
- Identify examples of AI in everyday life and across industries.
Teaching and Learning Methods
The course is delivered through interactive and participatory learning methods, including connected learning, group discussions, interactive lectures, and reflective activities. These approaches support learners from both technical and non-technical backgrounds.
Assessment
Assessment is formative only and does not contribute to academic credit. Learners complete a knowledge check quiz and a reflective entry on AI in daily life.
2. Artificial Intelligence Systems and Applications
Award: Certificate of AttendanceCourse Overview
The Artificial Intelligence Systems and Applications Short Course introduces learners to practical AI tools and explores how AI is being applied across sectors such as business, healthcare, education, and creative industries. The course focuses on practical understanding, hands-on exploration, and responsible use of AI tools.
Course Aims
- Explore accessible AI tools and platforms used across different sectors.
- Build confidence in using selected AI tools.
- Understand practical applications of AI in everyday and workplace contexts.
- Develop awareness of responsible and ethical AI use.
What You Will Learn
- Identify a range of accessible AI tools and their practical applications.
- Demonstrate basic use of selected AI tools through guided exploration.
- Apply ethical considerations when selecting and using AI tools.
Teaching and Learning Methods
The course uses connected learning, group activities, and live tool demonstrations. Learners engage with accessible AI tools and platforms through guided exploration, focusing on what these tools can do, their practical uses, and the ethical considerations involved.
Assessment
Assessment is formative only and does not contribute to academic credit. Learners complete AI tool exploration activities and a poster or short presentation on AI tool use and ethics.
3. Artificial Intelligence, Ethics and Digital Society
Award: Certificate of AttendanceCourse Overview
The Artificial Intelligence, Ethics and Digital Society Short Course focuses on the ethical, social, and workforce implications of Artificial Intelligence. Learners explore how AI systems may influence society, including issues such as inequality, bias, power imbalances, transparency, accountability, fairness, privacy, and responsible data use.
Course Aims
- Understand core ethical principles relevant to AI systems.
- Explore the societal implications of AI deployment.
- Reflect critically on fairness, transparency, accountability, and privacy.
- Build awareness of responsible and ethical AI practices.
What You Will Learn
- Define core ethical principles relevant to AI systems, including fairness, transparency, and accountability.
- Explain why ethical considerations are essential in AI design and deployment.
- Reflect on personal values in relation to AI ethics.
Teaching and Learning Methods
The course is delivered through connected learning, group discussions, interactive lectures, and reflective learning activities. The approach supports both technical and non-technical learners and encourages active engagement and critical thinking.
Assessment
Assessment is formative only and does not contribute to academic credit. Learners complete a knowledge check quiz and a reflective entry on AI ethics.
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Enquire about a short course
Contact our Admissions Team at admissions@laat.ac.uk for dates, availability and enrolment.