Categories AI Engineering, GenAI

AI+ Mining™

  • Unlock the potential of AI in Mining™ to optimize exploration, improve resource management, and automate operations.

$144.99

Expert
AI+ Mining.
40h
1 Year.
$144.99
Training 5 or more people?

Boost exploration, efficiency, and automation.

  • Powering the Next Era of Mining with AI: Smarter, Safer, and Sustainable Operations Beginner-Friendly Course: Perfect introduction to explore how AI transforms modern mining practices Foundational Learning: Explains AI-driven exploration, automation, data analysis, and safety innovations No Technical Background Needed: Open to anyone eager to understand the role of technology in mining
  • Optimized Resource Exploration AI helps in identifying mineral deposits more efficiently, reducing exploration costs and time.
  • Predictive Maintenance AI enables predictive analytics to forecast equipment failures, reducing downtime and maintenance costs in mining operations.
  • Enhanced Safety AI-powered systems improve safety by predicting hazardous situations and monitoring worker health and environmental conditions.
  • Efficient Operations AI optimizes mining operations, from extraction to processing, improving efficiency, productivity, and cost-effectiveness.
  • Sustainability AI aids in sustainable mining practices by optimizing resource usage and minimizing environmental impact through data-driven insights.

Course Curriculum

Module 1: Introduction to AI in Mining
1.1 Overview of AI, ML & Deep Learning in Mining 1.2 Use Cases 1.3 Activity

Module 2: Machine Learning & Deep Learning for Mining
2.1 Introduction to ML & Deep Learning 2.2 Use Cases 2.3 Case Study 2.4 Hands-On Exercise 2.5 Activity

Module 3: AI in Mineral Exploration & Resource Modeling
3.1 AI for Smart Exploration & Orebody Modeling 3.2 Use-Cases 3.3 Case Study 3.4 Hands-on Exercises 3.5 Activity

Module 4: AI for Equipment Automation & Fleet Optimization
4.1 AI in Autonomous Vehicles & Robotics 4.2 Use Cases 4.3 Case Study 4.4 Hands-On Exercise 4.5 Activity

Module 5: AI in Predictive Maintenance & Asset Management
5.1 AI in Equipment Health Monitoring 5.2 Use Cases 5.3 Case Study 5.4 Hands-On Exercise 5.5 Activity

Module 6: AI for Environmental Compliance & Sustainability
6.1 AI-Powered Environmental Monitoring 6.2 Use Cases 6.3 Case Study 6.4 Hands-On Exercises 6.5 Activity: Group Exercise

Module 7: AI for Workforce Transformation & Ethical AI
7.1 Ethical AI, Workforce Augmentation & AI Regulations 7.2 Use Cases 7.3 Case Study 7.4 Hands-On Exercises

Module 8: AI in Mining Strategy & Implementation
8.1 AI-Driven Decision-Making in Mining 8.2 Use Cases 8.3 Case Study

Learning Objectives

  • Learn AI Fundamentals: Grasp the core concepts of artificial intelligence, machine learning, and deep learning applications in the mining industry.
  • Apply AI in Mining Operations: Develop practical knowledge of how AI can be used in exploration, operations, predictive maintenance, and workforce development.
  • Understand Ethical AI Practices: Grasp the importance of ethical AI, regulatory compliance, and their role in the mining industry.
  • Equip with AR/VR Training Skills: Learn how AI-powered AR/VR can be used for effective workforce upskilling and training.
  • Enhance Decision-Making: Apply AI to improve strategic decision-making, risk management, and supply chain optimization in mining operations.
  • Analyze Real-World Case Studies: Develop insights from case studies of industry leaders like Vale and Anglo-American to understand practical AI benefits.
  • Harness AI for Sustainable Mining: Equip yourself with the skills to implement AI for safer, more efficient, and sustainable mining operations in a competitive landscape.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Mining Professionals.
  • Data Analysts.
  • Engineers.
  • Geospatial Experts.
  • Tech Enthusiasts.

Job Roles & Industry Outlook 

Al-Powered Resource Analyst
Design and implement Al models to analyze geological data, predict mineral deposits, and optimize resource extraction strategies.
Mining Technology Manager
Oversee the integration of Al and automation technologies to improve safety, equipment performance, and environmental sustainability in mining.
Chief Mining Officer (CMO)
Drive the adoption of Al across mining operations, focusing on innovation, resource optimization, and sustainability in mining practices.
Al Mining Consultant
Advise mining companies on integrating Al solutions to optimize exploration, resource management, and operational efficiency.
Mining Operations Manager
Lead the deployment of Al-powered tools to streamline mining operations, enhance productivity, and reduce costs.

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Introduction to AI in Mining - 9%
Machine Learning & Deep Learning for Mining - 13%
AI in Mineral Exploration & Resource Modeling - 13%
AI for Equipment Automation & Fleet Optimization - 13%
AI in Predictive Maintenance & Asset Management - 13%
AI for Environmental Compliance & Sustainability - 13%
AI for Workforce Transformation & Ethical AI - 13%
AI in Mining Strategy & Implementation - 13%

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Certificate of Completion

AI+ Mining.

$144.99

Expert
AI+ Mining.
40h
1 Year.
$144.99
Training 5 or more people?

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