Module 1: Introduction to AI in Mining

1.1 Overview of AI, ML & Deep Learning in Mining

1.2 Use Cases

1.3 Activity: Group Discussion – How is AI changing the mining industry

Module 2: Machine Learning & Deep Learning for Mining

2.1 Introduction to ML & Deep Learning

2.2 Use Cases

2.4 Case Study: AI-Powered Geophysical Analysis

2.5 Hands-On Exercise

2.6 Activity: Group Discussion – Will AI Replace Traditional Geologists and Mining Engineers

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: Group Discussion – Present an AI-powered Exploration Plan to a Mining Board Collaborate to

Module 4: AI for Equipment Automation & Fleet Optimization

4.1 AI in Autonomous Vehicles & Robotics

4.2 Use Cases

4.2 Case Study

4.5 Activity: Group Discussion:"Is mining ready for full automation

Module 5: AI in Predictive Maintenance & Asset Management

5.1 AI in Equipment Health Monitoring

5.2 Use Cases

5.3 Case Study: AI in Predictive Equipment Failure – Reducing Unplanned Downtime in Mining

5.4 Hands-On Exercise: AI for Equipment Monitoring – AI-Powered Sensor Data Analysis Using

5.6 Activity: Group Discussion - "Should AI Decide When Machines Need Maintenance?"

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: Explore AI applications in supply chain optimization and commodity price forecasting.

8.3 Case Study: Vale’s AI-Driven Supply Chain Optimization Strategy