Our Professional Accreditation and Certification Framework provides you with the credibility you need for success in AI.
The application form is designed for you to input examples of your work to meet the competencies. One example may meet multiple competencies.
Simply download the handbook and provide an example of each main category of competency in each box in the application form. We have provided examples to help you in the handbook.
Early Career AI Professional
Designed for early-career professionals entering the AI field. Build your foundation and establish credibility in artificial intelligence.
Annual Fee
per year
Specialist in AI
For specialised professionals with proven experience in AI. Demonstrate your expertise and professional commitment.
Annual Fee
per year
Advanced Professional
For leadership-level professionals driving AI innovation. Showcase advanced expertise and strategic leadership in artificial intelligence.
Annual Fee
per year
This handbook provides detailed guidance on accreditation requirements, assessment criteria, and the application process.
One example of each main category of competency is sufficient you do not need to write about all of our examples. One in depth project may meet the communication, leadership and technical competencies so be sure to highlight the relevant part of the example.
Tell us what ‘you’ did in the form:
What was the problem
What did you do
What was the outcome
What did you learn
*The accreditation has been designed at the same level as other professional bodies such as RSS and Science Council for parity of qualification.
The Fract AI Professional Accreditation Framework has been fully scrutinised and approved by a steering board of specialists, experts and early careers professionals from partner organisations in industry, government and academia. It is based on large scale empirical studies, a funded workshop in conjunction with the London Mathematical Society, a SPRITE+ funded project on Citizen Literacy in AI and a wide range of published materials.
Further References:
Oldfield. M, Towards Pedagogy supporting Ethics in Mathematics, 2022
Oldfield. M, Analytical Modelling and UK Government Policy, 2022
Oldfield. M, Technical Challenges, does AI have a PR Problem, 2022
This accreditation closes the gap between employers and practitioners by setting standards that are globally recognized and respected. Stand out in a competitive market with credentials that matter.
Employers can trust that accredited professionals will work to the highest standards. Demonstrate your commitment to excellence, ethics, and professional integrity in AI development.
Position yourself for advancement opportunities with credentials that showcase your expertise. Join a community of recognized professionals driving the future of AI.
