AI Frontiers in Business

• AI is no longer just a tool - it is becoming an active participant in business decision-making.

  This microcredential moves beyond foundational AI concepts to explore the technologies reshaping competitive advantage right now: frontier model architectures, agentic AI, and multi-agent systems that can reason, plan, and act autonomously.

  Grounded in the actual practice of modern AI, the microcredential  progresses from the fundamentals of predictive modelling and deep learning through to large and small language models, agentic workflows, multi-agent orchestration, and retrieval-augmented generation. Participants will examine how these technologies are transforming strategy, operations, and decision-making across industries.

  Responsible AI is woven throughout. You will critically evaluate fairness, bias, and adversarial control in machine learning systems, and explore practical techniques for implementing safety guardrails and governance frameworks in autonomous environments. Topics such as sovereign AI, verifiable AI, and the governance of autonomous systems reflect the emerging challenges organisations face today.

  The microcredential  also develops strategic foresight. Through horizon scanning, scenario planning, and windtunnelling techniques, participants will build the capability to identify weak signals, assess critical uncertainties, and stress-test strategies against future AI trajectories - including the possibility of both acceleration and disruption.

  Practical exercises, case studies, and hands-on system design tasks ensure that concepts translate directly into professional capability.

  WHO IS THIS MICROCREDENTIAL FOR?

  This microcredential is designed for professionals who need more than AI awareness - they need actionable understanding. It is particularly suited to those working in strategy, digital transformation, innovation, data-driven decision-making, or governance roles who are engaging with AI adoption at an organisational level.

  WHY STUDY THIS MICROCREDENTIAL?

  Organisations are under pressure to adopt AI effectively, responsibly, and at pace. This microcredential provides the structured knowledge to do so with confidence.

  You will:

  Understand how frontier AI systems (including agentic AI and multi-agent architectures) actually work and where they create value
  Critically evaluate fairness, bias, and ethical trade-offs in AI systems
  Apply horizon scanning and foresight methods to anticipate emerging AI trends and their business implications
  Assess governance, regulatory, and risk considerations for autonomous AI environments
  Build confidence engaging with AI-driven initiatives and communicating their implications to diverse stakeholders

  Fee

  Standard Fee £1000

  Entry Requirements

  2.2 Honours degree

  The Programme

  Course Content

  This microcredential covers: AI-ready data and analytics; predictive modelling; deep learning and classification; fairness, bias, and adversarial control; horizon scanning and strategic foresight; frontier model architectures (LLM/SLM); agentic AI and agent types; multi-agent orchestration and Mixture of Experts; retrieval-augmented generation and safety guardrails; sovereign and verifiable AI; and human–AI synthesis and governance of autonomy.

  Delivery

  In-person delivery across 10 weeks (3hrs per week). Pattern: 3hrs per week.

  Subject to capacity. This Microcredential is not open to international student recruitment.