International experts to deliver Artificial Intelligence courses at the World Mining Congress 2026
Published by Jody Dodgson,
Editorial Assistant
Global Mining Review,

In this context, and as part of its academic programme, the World Mining Congress 2026 will include specialised courses on the use of artificial intelligence in mining, delivered by international experts in exploration, geosciences, and mining management. These courses will take place on 22 and 23 June in Lima, Peru.
One of the 16 courses offered by the WMC is “Artificial Intelligence in Mineral Exploration: Separating Hype from Reality, A short course for C-suite decision makers,” which will be delivered by Prof. Jef Caers, professor at Stanford University and a specialist in data science applied to natural resources. The session is aimed at executives and decision-makers in mining companies and will examine real cases in which artificial intelligence has helped reduce exploration costs by optimising the use of data. It will also review situations in which AI applications have failed to generate results due to weak statistical foundations or the inappropriate use of machine learning tools.
Another course is “Collaborative Intelligence in Mineral Exploration: Bridging Geology, Geophysics, and AI,” which will be delivered by Shae Akbarpour, Mikayla Sambrooks, and Alastair Tait, specialists from Fleet Space Technologies. The course will address how to integrate geological, geophysical, hyperspectral, and remote sensing data using artificial intelligence and machine learning tools. Through case studies and practical exercises, participants will review techniques such as clustering, dimensionality reduction, and decision tree models to improve data interpretation and support decision-making in mineral exploration.
The agenda also includes the course “AI for Mining Safety: Predictive Models Toward Zero Accidents,” which will be delivered by mining engineer Raúl Benavides. The session will examine how predictive models based on artificial intelligence can help identify early warning signals of risk in mining operations. Topics will include the detection of equipment failures, unsafe behaviours, abnormal vibrations, and critical geotechnical conditions, with the aim of strengthening safety management systems and improving incident prevention.
How to register?
These courses are part of the academic programme of the World Mining Congress 2026. The sessions will be delivered in English on 22 and 23 June, as a pre-event programme leading up to the WMC.
Classes will be held in person at the headquarters of the Peruvian Institute of Mining Engineers (IIMP), located at Calle Los Canarios 155, in the La Molina district of Lima. For more information about the 16 short courses, please visit the official website: wmc2026.org/short-courses/.
Read the article online at: https://www.globalminingreview.com/mining/10032026/international-experts-to-deliver-artificial-intelligence-courses-at-the-world-mining-congress-2026/