Delivery format
In person
Course overview
This practical introductory course aims to deliver a working understanding of established and emerging forms of artificial intelligence (AI) technology, without having prior technical expertise. As AI technologies revolutionise processes and ways of working, literacy in AI is already becoming influential over professionals’ productivity and performance in many sectors. This course will prepare you to exploit this opportunity, understanding key characteristics of AI technologies and the challenges and opportunities they present for various real-world tasks. Both technical and applied perspectives from our cross-college faculty will facilitate this journey.
Key concepts regarding data science, machine learning, deep learning and large language models will be covered alongside accessible approaches to communicating their characteristics and performance. Coding and mathematical competencies will not be addressed, though attendees will develop hands on familiarity with AI application using a code-free approach.
Course delivery
On completion of the course attendees will be able to:
- Evaluate the benefits and risks of AI subtypes for use in specified tasks
- Analyse the provenance and use of data in developing and validating AI technologies to critically appraise the impact that data characteristics have on the apparent performance of a specific AI technology
- Analyse common AI explainability outputs to critically appraise outputs from AI models
- Evaluate AI use cases to select appropriate performance statistics and apply them to evaluate AI models
- Create and evaluate an AI model for a specific use case
Dates of the course
17 November 2025 - 21 November 2025
Teaching staff
Slava Jankin
Chair in Data Science and Government
School of Government
Professor of data science and government in the School of Government, College of Social Sciences and the School of Computer Science, College of Engineering and Physical Sciences.
Dr Jeffry Hogg
Clinical AI Implementation
School of Infection, Inflammation and Immunology
Staff profile for Dr Jeffry Hogg, Honorary Clinical Research Associate, College of Medicine and Health, University Â鶹¾«Ñ¡.
Entry requirements
This course is suitable for recent graduates from healthcare, management, technical or innovation degree programmes. It is also targets mid-career applicants with practical, policy or research roles in healthcare or medtech.
Fees and scholarships
£1011.11
Application process
Register via the .
Last day to book is Monday 3 November.
If you have any queries, please email mdscpdenquiries@contacts.bham.ac.uk.
The courses have minimum required attendance levels and the University reserves the right to cancel or postpone the course if the minimum required number of delegates has not been achieved for the course.
See how the University Â鶹¾«Ñ¡ uses your data, view the Event attendee privacy notice.