• Develop the skills and techniques to effectively drive your AI initiatives within your organisation by exploring AI beneath the surface.
• Equip yourself with the foundational knowledge of how AI solutions are built and maintained, deepening your understanding of AI without writing a piece of code.
• Gain the insights necessary to build long-term AI roadmaps, including the delivery and implementation of your ideas.
• Stay ahead and competitive, uncovering the emerging capabilities of AI.
• Become part of an elite cohort carefully selected for their excellence - senior leaders steering innovation across various sectors.
• Learn from Faculty’s own experienced AI experts, who have transformed start-ups and large-scale organisations across public and private sectors for the last decade.
• Work collaboratively and network with like-minded leaders, becoming part of our exclusive alumni community.
• Get recognised with a digital certification from Faculty upon completion of the course, validating your AI acumen.

• Stay competitive with innovative organisations, determining a long-term AI roadmap for the future.
• Empower your senior leadership to explore the potential of AI, expanding your core business capabilities.
• Elevate your organisation’s understanding of AI and how to build, implement and maintain an AI strategy.
• Expand the horizons of professionals equipping them with a deeper understanding of AI without writing a line of code.

The curriculum unfolds over three key modules. Day 1 lays the foundation with an introduction to AI and core concepts. Day 2 focuses on traditional AI applications in real-world scenarios. Day 3 delves into generative AI and practical implementation.

Hosted in person at Faculty’s Main Office, the course offers three days of intensive, interactive learning coupled with networking opportunities with like-minded professionals. Participants learn directly from Faculty’s AI experts, skilled in navigating start-ups and established organisations. This mentorship ensures attendees gain actionable insights and confidence in applying AI principles effectively.

Oliver is Faculty's Director of AI Capability, helping Faculty's clients to upskill their teams and thereby deliver AI-driven improvements in their performance. His expertise is in making change happen, helping organisations to transform their operations and performance through the use of technology. He formerly worked at McKinsey & Company and for the UK government, driving tech-enabled change.

Michael is a distinguished Senior Data Scientist at Faculty. Building on his expertise from a medical engineering PhD, he has played a pivotal role in high-impact projects such as the COVID-19 Early Warning System and Faculty's groundbreaking work in combating disinformation. A passionate advocate for mentorship, Michael is dedicated to enhancing the skills of NHS data science teams and has been instrumental in guiding a series of fellowship projects at Faculty.

Roxana is a Senior Research Scientist at Faculty and has become a pioneer for AI safety. Before Faculty, she completed a PhD in signal and image processing from Imperial College London where she championed algorithms for rumour detection in social networks and neuromorphic video reconstruction. Before her research, Roxana worked as a Technology Analyst at JPMorgan.

Alex is an accomplished Data Scientist at Faculty, where he has made significant contributions as the resident Large Language Models expert. He has worked on several projects including developing AI models to predict heart disease. During his PhD at the University of Oxford, he explored auditory cortex information processing using advanced computational techniques. His diverse skills in machine learning, deep learning, and data analysis empower his impactful work across various industries.

Aidan is the Head of Engineering at Faculty, with a commendable career spanning roles from Principal, Lead to Senior Machine Learning Engineer. With previous experience as a Solutions Architect at AWS and as a Cryptographic Security Analyst at BT, Aidan brings a rich multidisciplinary background in technology and security. Holding a Master of Engineering in Mathematics and Computer Science from UCL, Aidan combines technical expertise with leadership acumen in AI and machine learning.