Loading…
Learning, reasoning, acting and evolving.
A four-part curriculum on the capabilities shaping frontier AI systems.
Frontier AI is moving beyond prediction and generation into reasoning, action and continual improvement.
Across four connected parts, the programme examines how models learn representations and world knowledge; reason through search, planning and inference-time compute; act through tools, agents and environments; and improve, adapt and remain reliable over time.
How models learn representations, acquire knowledge, and build useful models of the world.
Topics
How models plan and solve complex problems using more compute and better inference-time strategies.
Topics
How models use tools, take action, and interact with environments to achieve goals.
Topics
How frontier systems are evaluated and aligned — and how self-improvement, continual learning and open-endedness shape where capabilities are heading.
Topics
Researchers across academia and industry — from postgraduate students to postdocs — and engineers seeking deep, research-level training in frontier AI.
Certificate of Participation
Awarded upon completion of the programme.
Certificate of Achievement
Awarded upon successfully passing the assessment on Elandi.ai.
/ OxML 2027 — Oxford
Leave your email and we’ll write when OxML 2027 registration opens.