office@fractalai.org.uk
office@fractalai.org.uk
We deliver our training packages to Academic Institutions, UK Government and 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.
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 leads are Dr Marie Oldfield and Murray Webster.
Code: FRACT25PA20
Location: In-person or online
Duration: Three days onsite • 12 online sessions
Level: FHEQ Level 6
Prerequisites: EPAI 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 RPAI professional accreditation. Content spans modules from ethics to technical concepts and responsible AI development.
Instructor: The course lead is Dr Marie Oldfield. Dr Oldfield is CEO of Oldfield Consultancy, Founder of Simeko AI and Head of Fractal AI. Dr Oldfield is a former Senior Lecturer in Practice at LSE. Dr Oldfield is a Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and an Advanced Practitioner in Artificial Intelligence (APAI) at Fractal AI.
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
visionary leaders in the field. Course content spans technical application to communication.
Aligning with the most recent developments in the field this course allows personalised learning and support.
Instructor: The course lead is Dr Marie Oldfield. Dr Oldfield is CEO of Oldfield Consultancy, Founder of Simeko AI and Head of Fractal AI. Dr Oldfield is a former Senior Lecturer in Practice at LSE. Dr Oldfield is a Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and an Advanced Practitioner in Artificial Intelligence (APAI) at Fractal AI.
Code: FRACT25AI10
Location: In-person or online
Duration: Two days onsite • 4 online sessions
Level: None
Prerequisites: None
Description: This course is designed to introduce the public to AI. This is a course on citizen literacy of AI and understanding impact as well as risk.
This course 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. Delegates will learn how they live and work within the modern AI world.
Prerequisites: None. There will be pre reading and course resources supplied.
Instructor: The course leads are Dr Marie Oldfield and Murray Webster.
Code: FRACT25AI25
Location: In-person or online
Duration: Three days onsite • 5 online sessions
Level: FHEQ Level 6
Prerequisites: This course is for the Legal Industry
Description: Being involved in legal casework should not mean having to understand coding and AI. Unfortunately AI and sofwtare is becoming more prevalent within casework but it comes with ‘IP’ protections and a lack of any documentation around transparency. This means we can be dealing with a black box. This software would not be quality checked by MOJ or the Government Software Portal and so it is key to be informed when using it.
We have a bespoke system, that is in use in live court cases now, to enable you to ask the right questions in court and obtain the transparency of any AI or software package.
Instructor: The course lead is Dr Marie Oldfield. Dr Oldfield is a legal expert witness, CEO of Oldfield Consultancy, Founder of Simeko AI and Head of Fractal AI. Dr Oldfield is a former Senior Lecturer in Practice at LSE. Dr Oldfield is a Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and an Advanced Practitioner in Artificial Intelligence (APAI) at Fractal AI.
Code: FRACT25AI30
Location: Online
Duration: 5 hours
Level: None
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.
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.
