Courses AI certifications (AI CERTs®)

AI+ Mining Practitioner™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Specialization

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
  • Open course Not available in this format
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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

Prerequisites

The AI+ Mining Practitioner™ 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.

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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Private training for your team?

Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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