AI+ Mining™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Advanced AI technologies are shaping the raw materials and mining world more than ever before. The focus is on data-driven decisions, model-based forecasts, and automated analysis chains that promote efficiency, safety, and sustainability.

Key topics

  • AI-supported exploration and geological pattern recognition.
  • Process optimization through machine learning models.
  • Automated analysis of sensor data and satellite images.
  • Risk and safety models based on predictive algorithms.
  • Digital workflows, edge AI, and modern data platforms.

Prerequisite
Basic understanding of data analysis or technical processes.

Target group
Specialists from the raw materials industry, geotechnical engineering, engineering, data analysis, and people from related technology fields.

A compact way to reliably assess AI potential in the mining sector and develop sound strategies for digital value creation.
 

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course content
  • Overview of AI, ML, and deep learning in mining
  • Use cases
  • Introduction to ML and Deep Learning
  • Use cases
  • Case Study
  • Practical Exercise
  • AI for intelligent exploration and ore modeling
  • Use cases
  • Case study
  • Practical exercises
  • AI in autonomous vehicles and robotics
  • Use cases
  • Case study
  • Practical exercise
  • AI in plant condition monitoring
  • Use cases
  • Case study
  • Practical exercise
  • AI-supported environmental monitoring
  • Use cases
  • Case study
  • Practical exercises
  • Activity: Group exercise
  • Ethical AI, staffing, and AI regulations
  • Use cases
  • Case study
  • Practical exercises
  • AI-supported decision-making in mining
  • Use cases
  • Case study

Frequently asked questions

  • The course covers the basics of AI in mining, smart tools for data analysis, practical applications, and insights into automation and efficiency improvements.
  • Suitable for professionals from the mining, technology, and data sectors, as well as anyone who wants to use AI specifically in raw material extraction.
  • A basic understanding of technology and an interest in AI are sufficient. Prior knowledge of mining or data analysis is helpful but not essential.
  • Tools used include TensorFlow, Spark, Python, SQL, Tableau, IoT platforms, and tools for automation, analysis, and predictive maintenance.
  • The course demonstrates how AI detects potential hazards, increases plant safety, and minimizes risks through early warning systems.
  • Combines AI knowledge with industry-specific expertise—clear, concise, and practical. Developed for real-world use in mining.
  • Analytical thinking, technical understanding, AI application skills, data interpretation, and strategic thinking in a mining context.
  • Helps to make processes more efficient, make data-driven decisions, and integrate innovation into existing structures in a targeted manner.

Do you have any further questions? Please contact us.