Vahap Can Dongel, a Lecturer in Computing at CCC, featured on tech Tonic, an FT podcast as a guest speaker.

We chatted with him about AI, technology and what students can learn in his classroom.
Can you share a bit about your background?
“I graduated in 2021 with a degree in Computer Science (Artificial Intelligence) and joined CCC immediately after completing my studies. Since then, I have been teaching in the field of computing, delivering a range of units for Level 3 courses, including software development, database systems, cybersecurity, and networking. My focus is on providing learners with industry-relevant skills through practical, hands-on learning experiences.”
What can students learn in your classes?
“Students in my classes engage with a diverse range of computing topics across various courses. My primary focus areas include software development and programming, cybersecurity, computer networking, and database systems. I take a practical, hands-on approach to teaching, ensuring that after essential theoretical delivery, students have the opportunity to apply their knowledge through workshops and practical exercises. Computing is not a field that can be mastered solely through theory, like law or psychology—it requires problem-solving, experimentation, and active engagement. This approach keeps students involved and equips them with skills that are directly applicable to both industry and higher education.”
And in your AI Prompt Engineering class?
“We begin with the fundamentals of AI, exploring what drives modern AI tools and the core technologies behind them, such as neural networks, machine learning, and natural language processing (NLP). From there, we analyse what makes an effective prompt using the CSC (Clear, Specific, Contextual) framework. As we progress, we introduce advanced prompting techniques, including multi-step prompting and conditional prompting. Towards the end of the course, students learn how to run AI models locally, entirely offline on their own machines. Finally, they experiment with different prompt engineering techniques across various tools and scenarios, helping them understand the distinctions between different large language models (LLMs) and how to use them effectively.”
Will Generative AI revolutionise how we live and work? Is it already happening?
“Absolutely. Generative AI is already transforming the way we live and work, significantly reducing workload and enhancing productivity. It serves as a powerful tool for planning, creative problem-solving, and automating time-consuming tasks such as documentation and administrative work. In the education sector, AI is revolutionising lesson planning, making learning more interactive and student-centred. Teachers are leveraging AI to design engaging activities, provide personalised feedback, and enhance the overall learning experience. Its impact is only going to grow, shaping the way we work across multiple industries.”
Will there be new jobs that focus exclusively on AI?
“Yes, I believe new roles centred around AI will emerge. Many existing jobs will be redefined and restructured with AI in mind. For instance, we may see specialised roles such as “Prompt Software Engineer” or “Prompt Game Asset Designer,” where AI is leveraged to streamline workflows and enhance creativity. While AI is unlikely to completely replace jobs in the near future, its growth will undoubtedly reshape various sectors, requiring professionals to adapt and integrate AI into their work.”
What advice would you give to students who want to learn more about AI?
“Students should see AI as a tool for learning rather than a shortcut for completing tasks. In the computing department, my colleagues and I use AI to identify knowledge gaps and build upon our understanding. AI tools function as 24/7 “smart assistants,” capable of helping learners explore new concepts and refine their skills. Instead of relying on AI to do the work for them, students should use it as a resource for research, problem-solving, and skill development—ultimately improving their understanding in a way that aligns with their learning level.”
Catch up with Vahap’s guest spot on the FT’s podcast online, or read more about the courses in computing you can take at CCC.