1221a814-1c0c-478d-b671-b1413b73253c
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University of Lancashire, Preston, UK
17-20 years old
3 weeks
Choose your preferred session from the options below and submit your details in order to complete your booking.
July - Boarding
| Start | 7/18/2026 |
| End | 8/8/2026 |
| Duration | 3 Weeks |
| Price | $5,014 |
This programme offers an exceptional opportunity for international students to experience university-style study in the UK while developing essential, future-focused skills in Artificial Intelligence (AI).
Designed by subject specialists, the course provides a comprehensive introduction to how AI is shaping industries and how students can apply these tools in their future academic and professional careers.
Through a combination of interactive workshops, practical coding sessions, and real-world applications, students will gain hands-on experience using industry-standard tools in modern learning environments.
The programme is structured over three weeks, with a strong focus on progressive skill development, ensuring students build confidence step by step. Each week builds on the previous one, with recap sessions and clearly defined learning objectives to support understanding and progression.
The curriculum follows a carefully designed progression:
Week 1: Foundations of AI
Week 2: Advanced Techniques and Applications
Week 3: Real-World Applications and Future Trends
Students begin by developing a solid understanding of core concepts, before advancing into applied techniques and ultimately exploring real-world use cases and career pathways.
Focus: Core concepts, ethical awareness, and foundational technical skills
Introduction to Artificial Intelligence and Machine Learning
History and future trends in AI
Python programming fundamentals for AI
Introduction to tools such as Jupyter Notebooks, Google Colab, and VS Code
Data fundamentals: collection, cleaning, and preparation
Supervised and unsupervised learning
Ethics and bias in AI
Students begin building practical skills through guided coding sessions and interactive labs. Abstract concepts are brought to life through demonstrations using tools such as Teachable Machine and TensorFlow Playground.
Hands-on coding workshops
Interactive AI model demonstrations
AI ethics debate and discussion
Mini Hackathon (Challenge #1): A collaborative group project at the end of the week to apply newly learned concepts
Focus: Deep learning, neural networks, and applied AI
Applied machine learning (e.g. predictive modelling using real datasets such as Titanic)
Neural networks and deep learning
Natural Language Processing (NLP)
Computer vision and image recognition
Students deepen their technical understanding through hands-on lab sessions using frameworks such as TensorFlow and PyTorch, while also learning how to fine-tune existing AI models—an essential real-world skill.
Practical lab sessions using deep learning tools
Model training and optimisation exercises
Ethics check-in: exploring real-world issues such as bias in facial recognition
Mini Hackathon (Challenge #2): A second collaborative challenge to reinforce and expand learning
Focus: Application, innovation, and career development
AI in healthcare, finance, and smart cities
AI in robotics and autonomous systems
AI for social good and sustainability
Emerging trends such as generative AI and autonomous technologies
Career pathways in AI, including portfolio building and networking
Data privacy and cybersecurity
Students apply their knowledge to real-world scenarios, while also gaining insight into the future of AI and its impact across industries.
Guest lectures from industry professionals and academics
Group project development and final presentations
Networking sessions with experts in AI and technology
At the end of the programme, students will receive:
Certificate of Completion
Personalised feedback on their final project
Continuous assessment aligned with academic standards
The final week culminates in project presentations, allowing students to showcase their work and reflect on their progress.
Students will study at a leading UK university with a long-standing academic tradition and a strong global reputation.
Founded in 1828, the university has evolved into a modern, international institution, welcoming students from over 100 countries worldwide. With partnerships across more than 120 global institutions, it offers a truly diverse and globally connected learning environment.
The university is ranked within the top 7% of universities worldwide, reflecting its commitment to academic excellence and innovation.
Students will benefit from studying in a real university setting, using professional facilities and experiencing independent, higher-level learning.
Students are accommodated in modern university residences:
En-suite single rooms
5–10 minute walk to campus
Shared kitchens (4–6 students per flat)
Safe and supervised environment
University canteen available for breakfast and lunch
Students often prepare meals together in shared kitchens
Wide range of affordable cafés and restaurants near campus
This setup encourages independence, social interaction, and cultural exchange.
The programme fee includes:
Full academic tuition and study materials
Accommodation on or near campus
Access to university facilities and learning resources
Guest lectures and industry engagement sessions
All academic activities, workshops, and project work
End-of-programme certificate
The campus is conveniently located approximately 40 minutes from Manchester Airport, making it easily accessible for international students.
Direct train connections from the airport
Taxi transfers available
This programme goes beyond traditional classroom learning. Students will:
Develop in-demand technical and analytical skills
Gain hands-on experience with real AI tools and technologies
Explore future career pathways in one of the world’s fastest-growing fields
Experience life at a UK university
Build confidence, independence, and global connections
By the end of the programme, students will not only understand Artificial Intelligence — they will be able to apply it, discuss it, and use it as a foundation for future academic and career success.
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