Prerequisites
- Basic understanding of mining industry operations and terminology
- Familiarity with fundamental concepts of data analytics and statistics
- No prior coding experience required (coding templates provided)
- Prior exposure to GIS, geospatial data, or industrial automation is a plus but not mandatory
- Recommended: Prior exposure to GIS, geospatial data, or industrial automation is a plus but not mandatory
Course outline
- 1
Lesson 1: Introduction to AI in Mining
- 1.1 Overview of AI, ML & Deep Learning in Mining
- 1.2 Use Cases
- 1.3 Activity
- 2
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 8: AI in Mining Strategy & Implementation
- 8.1 AI-Driven Decision-Making in Mining
- 8.2 Use Cases
- 8.3 Case Study
Materials
All necessary course materials are included.
System requirements
Minimum technical expectations for the online learning environment. Your IT team can use this as a checklist.
Internet connectivity
Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.
While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system. This is due to the potential high download and upload latency of cellular connections. Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.
Hardware
CPU: 1 GHz or higher RAM: 4 GB or higherResolution: 1280 x 720 or higher. 1920x1080 resolution is recommended for the best experience. Speakers / Headphones. Microphone for Webinar or Live Online sessions.
Operating system
Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS. Latest Linux Distributions.
While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.
Web browser
Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox. Latest Microsoft Edge. Latest Apple Safari
Recommended software
Office suite software (Microsoft Office, OpenOffice, or LibreOffice). PDF reader program (Adobe Reader, FoxIt). Courses may require other software that is described in the above course outline.
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