AI in Mining, Energy & Utilities
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) …
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
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.
________________________________________
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
________________________________________
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
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Introduction to Artificial Intelligence, machine learning, and data analytics7 min
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Digital transformation in mining, energy, and utility sectors5 min
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Data-driven decision-making in asset-intensive industries5 min
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Overview of AI applications across extractives and utilities6 min
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Opportunities and constraints of AI adoption in emerging markets4 min
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AI-enabled exploration and geological modelling6 min
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Ore body modelling, grade control, and production optimization5 min
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Autonomous and semi-autonomous mining systems6 min
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Equipment performance monitoring and optimization6 min
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Safety enhancement through AI-driven monitoring5 min
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Demand forecasting and load management using AI6 min
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AI in power generation optimization (thermal, hydro, solar, wind)6 min
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Grid stability, balancing, and outage prediction4 min
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Integration of renewable energy and storage systems5 min
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Energy efficiency and loss reduction analytics5 min
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Predictive maintenance of infrastructure and equipment5 min
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Water, electricity, and gas distribution optimization6 min
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Leak detection, fault detection, and loss reduction5 min
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Smart metering and consumption analytics5 min
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Service quality monitoring and customer analytics4 min
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AI-supported health and safety monitoring systems7 min
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Predictive risk identification and incident prevention6 min
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Environmental monitoring and compliance analytics5 min
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Emissions tracking, waste management, and impact assessment5 min
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Supporting ESG reporting and sustainability objectives5 min
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Data quality, security, and ownership considerations5 min
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Cybersecurity risks in critical infrastructure systems5 min
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Ethical use of AI in safety-critical environments6 min
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Regulatory frameworks for AI in mining and utilities7 min
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Accountability, transparency, and human oversight5 min
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Assessing organizational readiness for AI adoption7 min
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Integrating AI into legacy systems and operations5 min
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Change management and workforce skills development6 min
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Vendor selection, procurement, and technology partnerships5 min
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Investment appraisal and business case development5 min
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Generative AI and automation in industrial operations7 min
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AI-driven smart grids and intelligent infrastructure6 min
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Digital twins and advanced simulation models5 min
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Regional and global case studies5 min
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Preparing the sector for energy transition and climate challenges5 min
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