AI+ Mining™

Course code: AP2011

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

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

Price of the certification exam is included in the price of the course.

175 EUR

212 EUR including VAT

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Course dates
Course description
Target group
Course structure
Prerequisites
Certification

Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 175 EUR

	Starting date	Place	Type	Course duration	Language	Price without VAT
	Upon request		Self-paced	8 hours	en	175 EUR	Register
G	Guaranteed course

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Course description

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.

TensorFlow
Keras
Hadoop
Python
Tableau
Matplotlib
SQL
Apache Spark
Predictive Maintenance Software
Mining Simulation Tools
Computer Vision Tools
IoT Integration Platforms
Accela Civic Platform

Target group

Mining Professionals: Those in the mining industry seeking to integrate AI for improved operations, efficiency, and safety.

Data Analysts: Professionals looking to apply data analytics and AI in the mining sector to enhance decision-making and resource management.

Engineers: Engineers interested in leveraging AI for predictive maintenance and optimizing mining equipment performance.

Geospatial Experts: Individuals with GIS or geospatial data experience wanting to explore AI applications in resource exploration and management.

Tech Enthusiasts: People interested in the intersection of AI and mining, seeking to drive innovation and automation in the industry.

Course structure

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

Prerequisites

The AI + Mining course requires basic knowledge of mining operations, data analytics, and statistics. No coding experience is needed, and familiarity with GIS or industrial automation is a plus.