Course Overview
TOPThe AI+ Mining™ course explores how artificial intelligence is reshaping exploration, production, and safety within the mining industry, focusing on real-world AI applications for predictive maintenance, resource estimation, and process automation. Gain practical insights into improving efficiency, sustainability, and decision-making through data-driven intelligence. The course also highlights the role of AI in promoting safer and more environmentally responsible mining operations. Designed for industry professionals, it bridges mining expertise with advanced analytical and automation technologies.
Scheduled Classes
TOP| 01/27/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 02/24/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 03/24/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 04/21/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 05/26/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 06/23/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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What You'll Learn
TOP- Understand the transformative role of AI in mining operations and resource management
- Apply AI for predictive maintenance, equipment optimization, and production efficiency
- Use data analytics for exploration planning, ore grade prediction, and environmental monitoring
- Implement AI-driven automation for safety, productivity, and cost control
- Evaluate ethical, sustainability, and compliance considerations in AI-enabled mining
Outline
TOPIntroduction to AI in Mining
- Overview of AI, ML & Deep Learning in Mining
- Use Cases
- Activity
Machine Learning & Deep Learning for Mining
- Introduction to ML & Deep Learning
- Use Cases
- Case Study
- Hands-On Exercise
- Activity
AI in Mineral Exploration & Resource Modeling
- AI for Smart Exploration & Orebody Modeling
- Use-Cases
- Hands-On Exercises
- Activity
- Case Study
AI for Equipment Automation & Fleet Optimization
- AI in Autonomous Vehicles & Robotics
- Use Cases
- Case Study
- Hands-On Exercise
- Activity
AI in Predictive Maintenance & Asset Management
- AI in Equipment Health Monitoring
- Use Case
- Case Study
- Hands-On Exercise
- Activity: Group Discussion – “Should AI Decide When Machines Need Maintenance?”
AI for Environmental Compliance & Sustainability
- AI-Powered Environmental Monitoring
- Use Cases
- Case Study: AI-Driven Sustainability at Rio Tinto
- Hands-On Exercises: AI for Environmental Risk Assessment – Simulating AI-driven Water Quality Monitoring using Google Earth Engine
- Activity: Group Exercise: “Develop an AI-driven sustainability plan for a mining company.
AI for Workforce Transformation & Ethical AI
- Ethical AI, Workforce Augmentation & AI Regulations
- Use Cases
- Case Study
- Hands-On Exercises
AI in Mining Strategy & Implementation
- AI-Driven Decision-Making in Mining
- Use Cases
- Case Study
Prerequisites
TOPRequired
- Basic knowledge of mining operations, data analytics, and statistics
- Familiarity with fundamental concepts of data analytics and statistics
Recommended
- No prior coding experience required (coding templates provided)
- Prior exposure to GIS, geospatial data, or industrial automation is a plus
Who Should Attend
TOP- Field Engineer
- Data Analyst
