How to Get Into AI

The University of Leeds is a major UK research university with a long history and a vibrant campus in West Yorkshire. A member of the Russell Group, Leeds combines historic buildings and modern facilities across a green campus, and hosts a large international community. Its academic strategy focuses on research-led teaching and societal impact, aiming to address global challenges and support student success through a values-driven educational approach.

Leeds offers a wide portfolio of undergraduate and postgraduate programs across arts, sciences, engineering, business and health, supported by active research centres and industry collaboration. Students benefit from work placements, live projects and fieldwork opportunities that enhance employability; the university is recognised for strong links with employers and for producing graduates who are well prepared for professional life. Teaching blends academic depth with practical skills and digital learning tools.

International students find a welcoming environment with extensive support services, study abroad options and a diverse campus life. The university’s commitment to inclusion, sustainability and community engagement creates opportunities to take part in meaningful research and civic initiatives. Prospective applicants should explore entry requirements, scholarships and language support to plan a successful transition to study at Leeds.

The How to Get Into AI program at the University of Leeds is a non-degree course for students of all education levels, taught in English and lasting several weeks. It's perfect for those curious about AI. This online program helps you get started with AI basics.

The curriculum covers AI fundamentals, including machine learning and programming skills. You'll learn to code and work on projects that help you understand AI concepts. This hands-on approach helps you develop problem-solving skills and think creatively about AI applications.

After completing this program, you can pursue careers like AI Engineer, Data Scientist, or Machine Learning Specialist. You can work in tech companies, research institutions, or startups, applying your skills to develop innovative AI solutions. Other potential job titles include Business Intelligence Developer or Computer Vision Engineer.