AI+ Mining™
Unlock the potential of AI in Mining™ to optimize exploration, improve resource management, and automate operations.
Certificate Code:
AP 2011
About This Course
- 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
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
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.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
Module 1: Introduction to AI in Mining
- 1.1 Overview of AI, ML & Deep Learning in Mining
- 1.2 Use Cases
- 1.3 Activity
2
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
3
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
4
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
5
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
6
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
7
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
8
Module 8: AI in Mining Strategy & Implementation
- 8.1 AI-Driven Decision-Making in Mining
- 8.2 Use Cases
- 8.3 Case Study
AI Tools You'll Learn
TensorFlow
Keras
Hadoop
Python
Tableau
Matplotlib
SQL
Apache Spark
Predictive Maintenance Software
Mining Simulation Tools
Computer Vision Tools
IoT Integration Platforms
