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  • How do we grow the next wave of data-savvy thinkers and builders? This talk explores why it’s critical to invest in young people’s data and coding skills—not just for future careers, but for confident participation in a digital world. Dina will share insights from Dexterity Club, a hands-on initiative designed to spark curiosity and creativity in coding, and reflect on what’s worked, what’s surprised us, and what’s still to come.
    Dina Fajardo is an education expert with over a decade of experience leading innovative projects around the world, many of which focus on educational technology and developing digital skills. She recently completed a PhD in Education at the University of Cambridge and now consults on international initiatives, including Cambridge's Digital Education Futures Initiative. She is also the co-founder of Dexterity Club. This Netherlands-based initiative designs playful, hands-on programmes to spark curiosity, inspire creativity, and build digital and computer scien...

  • Aberdeen Python User Group - open to all

    This talk will provide a comprehensive overview of the AI landscape and the latest trending topics, with a focus on real-world applications of computer vision, particularly in the Oil and Gas sector. We’ll then explore Agentic AI, a cutting-edge concept that extends AI beyond automation, enabling more autonomous and intelligent decision-making systems. Through examples, using Python, we’ll illustrate the power and potential of Agentic AI in action. Finally, in a live demo, we’ll showcase how generative AI can be used with just a few prompts to rapidly build and deploy a functional application—highlighting its ability to accelerate development like never before. Whether you're a developer, data scientist, or AI enthusiast, I hope that this session will provide valuable insights and practical takeaways.

    Brief Bio:
    Eyad is a Professor of Machine Learning and Computer Vision at Robert Gordon University, specialising in applied AI solutions f...

  • A new monthly meetup of the local Wiki(pedia / Data / Commons) community.

    A social get together with the potential of identifying and working on some common editing projects.

    All welcome!