office@fractalai.org.uk
office@fractalai.org.uk
We deliver to UK Academic Institutions and UK Government as well as Industry.
Our catalogue covers courses from legal and regulatory aspects to philosophy, data science and statistics. We have a selection of courses that lead to EPAI and RPAI designations. We also have a number of standalone modules and short courses for specific upskilling in technical or soft skills areas.
Navigate the complex landscape of AI regulations, compliance requirements, and legal frameworks.
Explore the philosophical foundations and ethical considerations of artificial intelligence systems.
Master data analysis, machine learning techniques, and practical AI implementation strategies.
Build strong statistical foundations essential for AI research and data-driven decision making.
Develop hands-on expertise in AI tools, programming languages, and implementation frameworks.
Enhance leadership, communication, and project management capabilities for AI professionals.
Code: FRACT25PA10
Location: In-person or online
Duration: Three days onsite • 12 online sessions
Level: FHEQ Level 5
Prerequisites: Demonstrates understanding of EPAI requirements and can provide examples of some competencies
Description: This course is designed for people wishing to gain the EPAI professional accreditation. The course covers the main elements of the EPAI accreditation. Participants will be mentored to complete the
application form during the course.
Instructor: The course lead is Dr Marie Oldfield.
Code: FRACT25PA20
Location: In-person or online
Duration: Three days onsite • 12 online sessions
Level: FHEQ Level 6
Prerequisites: RTechAI qualification or demonstrates understanding of RPAI requirements and can provide examples of some competencies
Description: This course is designed for people wishing to gain the IST’s RPAI professional accreditation.
Instructor: The course lead is Dr Marie Oldfield.
Code: FRACT25PA30
Location: In-person or online
Duration: Two days onsite • 8 online sessions
Level: FHEQ Level 7
Prerequisites: APAI accreditation.
Description: This course is designed for
people who have achieved the IST’s highest
level of AI professional accreditation, APAI. It is designed to enhance knowledge and skills.
Instructor: The course lead is Dr Marie Oldfield.
Code: FRACT25AI10
Location: In-person or online
Duration: Two days onsite • 8 online sessions
Level: None
Prerequisites: None
Description: This course is designed to introduce course participants to AI. It describes how AI is built and used, how we
can be risk aware when working with AI and how citizens can understand decisions made about them via AI. The course is
semi-technical in nature, introducing a number of AI/ML concepts but with discussion sessions and case studies to create a consistent language across domains. Course attendees will learn how they live and work within the modern AI world.
Prerequisites: Some basic knowledge of probability and statistics would be useful. Prior knowledge of interpreted languages such as Ror Python would be advantageous but is not essential.
Instructor: The course lead is Dr Marie Oldfield.
Code: FRACT25AI20
Location: In-person or online
Duration: Three days onsite • 12 online sessions
Level: FHEQ Level 6
Prerequisites: This course builds upon the topics introduced by AI10. Some knowledge of probability and statistics is essential. Course participants should also be familiar with linear algebra and basic calculus. Prior knowledge of interpreted languages such as R or Python would be a definite advantage.
Description: This course is designed to introduce course participants to the essential ingredients of an AI system. It covers the role of mathematical optimization as the practical implementation of learning, large language models, generative AI, agentic AI, MLOps and ethics.
Instructor: The course lead is Dr Richard Saldanha. Dr Saldanha is a Visiting Lecturer in machine learning at Queen Mary University of London on its master’s degree programmes in the School of Economics and Finance and a practical user of AI/ML commercially with Oxquant. Dr Saldanha holds a doctorate (DPhil) in Statistics from the University of Oxford. He is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and a Fellow (FIScT) and Advanced Practitioner in Artificial Intelligence (APAI) of the Institute of Science and Technology.
Code: FRACT25AI30
Location: Online
Duration: 5 hours
Level: FHEQ Level
Prerequisites:This is a beginner-level course and, thus, does not carry any serious prerequisites. Attendees should be familiar with the basic legal requirements of their own work, as this will be necessary for group discussion.
Description: This course is designed to introduce course participants to the essential elements of current digital legislation in the UK and EU. This covers each of the major pieces of legislation in detail, the responsibilities which they place on AI practitioners and the strategies which practitioners can adopt to ameliorate their compliance with regulations. The course also covers upcoming developments in digital legislation and how practitioners can prepare themselves for these changes.
Instructor: The course lead is Murray Webster. Murray holds a Master’s in European Studies from the University of Gothenburg with a specialisation in European digital legislation and its compatibility with emerging technologies. Murray has previously provided services to national and international standardisation bodies in the development of digital legislation and its implementation. He runs NoWare Consultancy, which provides regulatory compliance services to start-ups and SMEs.
We have additional courses in AI leadership, communication in technical teams and human centered AI. These will be posted in due course.
