Short Courses Beginner

AI in Mining, Energy & Utilities

60 hours
0 students
Added Apr 16, 2026
Course Overview:
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in the mining, energy, and utilities sectors. It focuses on how AI-driven technologies can enhance operational efficiency, asset management, safety, environmental performance, and strategic decision-making across extractives and infrastructure-based industries.
Participants will gain the capacity to apply AI responsibly to optimize production, reduce risks, improve sustainability, and support the digital transformation of mining operations, power systems, water utilities, and energy infrastructure—particularly within African and emerging market contexts.
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Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to mining, energy, and utilities
Apply AI tools to operational optimization, asset management, and safety systems
Use AI-driven analytics to support energy forecasting, maintenance, and risk management
Enhance decision-making across infrastructure-intensive operations using predictive insights
Address environmental, social, and governance (ESG) considerations in AI deployment
Support digital transformation and innovation in mining and utility organizations
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Target Audience:
Mining engineers and operations managers
Energy and power sector professionals
Utility managers and infrastructure operators
Health, safety, and environment (HSE) officers
Asset management and maintenance professionals
Government regulators and policy makers in extractives and energy
ESG, sustainability, and climate practitioners
Senior managers and executives in mining, energy, and utilities

Who Should Take This Course

This course is ideal for beginners and those new to the field. No prior experience is required.

Course Content

  • Introduction to Artificial Intelligence, machine learning, and data analytics
    7 min
  • Digital transformation in mining, energy, and utility sectors
    5 min
  • Data-driven decision-making in asset-intensive industries
    5 min
  • Overview of AI applications across extractives and utilities
    6 min
  • Opportunities and constraints of AI adoption in emerging markets
    4 min

  • AI-enabled exploration and geological modelling
    6 min
  • Ore body modelling, grade control, and production optimization
    5 min
  • Autonomous and semi-autonomous mining systems
    6 min
  • Equipment performance monitoring and optimization
    6 min
  • Safety enhancement through AI-driven monitoring
    5 min

  • Demand forecasting and load management using AI
    6 min
  • AI in power generation optimization (thermal, hydro, solar, wind)
    6 min
  • Grid stability, balancing, and outage prediction
    4 min
  • Integration of renewable energy and storage systems
    5 min
  • Energy efficiency and loss reduction analytics
    5 min

  • Predictive maintenance of infrastructure and equipment
    5 min
  • Water, electricity, and gas distribution optimization
    6 min
  • Leak detection, fault detection, and loss reduction
    5 min
  • Smart metering and consumption analytics
    5 min
  • Service quality monitoring and customer analytics
    4 min

  • AI-supported health and safety monitoring systems
    7 min
  • Predictive risk identification and incident prevention
    6 min
  • Environmental monitoring and compliance analytics
    5 min
  • Emissions tracking, waste management, and impact assessment
    5 min
  • Supporting ESG reporting and sustainability objectives
    5 min

  • Data quality, security, and ownership considerations
    5 min
  • Cybersecurity risks in critical infrastructure systems
    5 min
  • Ethical use of AI in safety-critical environments
    6 min
  • Regulatory frameworks for AI in mining and utilities
    7 min
  • Accountability, transparency, and human oversight
    5 min

  • Assessing organizational readiness for AI adoption
    7 min
  • Integrating AI into legacy systems and operations
    5 min
  • Change management and workforce skills development
    6 min
  • Vendor selection, procurement, and technology partnerships
    5 min
  • Investment appraisal and business case development
    5 min

  • Generative AI and automation in industrial operations
    7 min
  • AI-driven smart grids and intelligent infrastructure
    6 min
  • Digital twins and advanced simulation models
    5 min
  • Regional and global case studies
    5 min
  • Preparing the sector for energy transition and climate challenges
    5 min

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