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 our official designations. We also have a number of standalone modules and short courses for specific upskilling in technical or soft skills areas.
Code: FRACT25AI25
Location: In-person or online
Duration: One and a half days onsite • 3 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.
AI and software are becoming more prevalent within casework but it comes with ‘IP’ protections and a lack of any documentation around transparency and may not be compliant with the Forensic Science Regulator or quality checked by the MoJ portal.
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 Expert in Artificial Intelligence (CFAIE) at Fractal AI.
Code: FRACT25PA30
Location: In-person or online
Duration: 2 sessions online with workshop sessions
Description: This course is designed for parents who are concerned about their children using AI and social media and want to know how they can help keep their children safe.
Aligning with the most recent developments in the field this course allows personalised learning and support.
Prerequisites: None. There will be pre reading and course resources supplied.
Instructor: The course leads are Dr Marie Oldfield and Murray Webster.
Code: FRACT25PA10
Location: In-person or online
Duration: 2 days onsite • 3 sessions online with workshop sessions
Level: FHEQ Level 5
Description: Our flagship course.
This course is designed for those who want a thorough grounding in AI from first principles.
Working through our academic methodology in practice we show how to build robust and ethical AI.
Prerequisites: None. There will be pre reading and course resources supplied.
Instructor: The course leads are Dr Marie Oldfield and Murray Webster.
Code: FRACT25PA20
Location: In-person or online
Duration: Online
Description: This course is designed for students in years 7-11 or age 11-18 using AI tools and social media who wish to know more about responsible use of these systems.
This course is tailored to the age group and academic level of students attending.
Prerequisites: None. There will be pre reading and course resources supplied.
Instructor: The course leads are Dr Marie Oldfield and Murray Webster.
Code: FRACT25AI10
Location: In-person or online
Duration: 30 minute workshops
Description: This course is designed to introduce young children to AI and safety online. This course mirrors the national curriculum and uses common principles to introduce AI concepts.
Prerequisites: None. There will be pre reading and course resources supplied.
Teachers please contact office@fractalai.org.uk to see how we can deliver this course or the resources to you.
Instructor: The course leads are Dr Marie Oldfield and Murray Webster.
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.
“Great insight into AI in the real world from a professional”
“Ethical implications and what we need to be careful of with the use of AI.”
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.
