Warwick Summer School: Artificial Intelligence: A Practical Introduction Postgraduate Programme By The University of Warwick |TopUniversities

Warwick Summer School: Artificial Intelligence: A Practical Introduction

Subject Ranking

# 51-100QS Subject Rankings

Application Deadline

31 May, 2026Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

Artificial intelligence is changing the way we work, communicate and connect to others.

From superhuman-game playing achievements to proficient conversation skills, AI agents are now capable of making rational strategic decisions backed by accurate predictions in many situations that very hard for humans.

But what lies underneath the Agentic AI revolution and how can we build simple AI agents capable of accurate reasoning and good decisions?

Combining theoretical understanding and practical implementation of reinforcement learning and strategic reasoning, this course will take you on a journey into the basic building blocks of decision-making agents, which are computational entities living in an uncertain environment and guided towards the realisation of given objectives.

How do we construct such agents and how do we guarantee that they solve our problems?

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

Artificial intelligence is changing the way we work, communicate and connect to others.

From superhuman-game playing achievements to proficient conversation skills, AI agents are now capable of making rational strategic decisions backed by accurate predictions in many situations that very hard for humans.

But what lies underneath the Agentic AI revolution and how can we build simple AI agents capable of accurate reasoning and good decisions?

Combining theoretical understanding and practical implementation of reinforcement learning and strategic reasoning, this course will take you on a journey into the basic building blocks of decision-making agents, which are computational entities living in an uncertain environment and guided towards the realisation of given objectives.

How do we construct such agents and how do we guarantee that they solve our problems?

Admission Requirements

130+
100+
7+
70+
There are no prerequisites to this course, however students should keep in mind that it is ultimately a technical course, where mathematical and programming knowledge will be provided. This course is open to students studying any discipline at University level. We welcome individuals from all backgrounds, including students who are currently studying another subject but who want to broaden their knowledge in another discipline. Students should also meet our standard entry requirements and must be aged 18 or over by the time the Summer School commences. Our Summer School courses are taught in English so students must be able to demonstrate a good level of English language and comprehension. We assess students' English ability through their application and correspondence.

31 May 2026
Jul

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