Opleiding: AI+ Mining Practitioner™ eLearning

Formerly known as AI+ Mining™

Unlock the potential of AI in Mining to optimize exploration, improve resource management, and automate operations.

• 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

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.

• Optimized Resource ExplorationAI helps in identifying mineral deposits more efficiently, reducing exploration costs and time.
• Predictive MaintenanceAI enables predictive analytics to forecast equipment failures, reducing downtime and maintenance costs in mining operations.
• Enhanced SafetyAI-powered systems improve safety by predicting hazardous situations and monitoring worker health and environmental conditions.
• Efficient OperationsAI optimizes mining operations, from extraction to processing, improving efficiency, productivity, and cost-effectiveness.
• SustainabilityAI aids in sustainable mining practices by optimizing resource usage and minimizing environmental impact through data-driven insights.

• 1.1 Overview of AI, ML & Deep Learning in Mining
• 1.2 Use Cases
• 1.3 Activity

• 2.1 Introduction to ML & Deep Learning
• 2.2 Use Cases
• 2.3 Case Study
• 2.4 Hands-On Exercise
• 2.5 Activity

• 3.1 AI for Smart Exploration & Orebody Modeling
• 3.2 Use-Cases
• 3.3 Case Study
• 3.4 Hands-on Exercises
• 3.5 Activity

• 4.1 AI in Autonomous Vehicles & Robotics
• 4.2 Use Cases
• 4.3 Case Study
• 4.4 Hands-On Exercise
• 4.5 Activity

• 5.1 AI in Equipment Health Monitoring
• 5.2 Use Cases
• 5.3 Case Study
• 5.4 Hands-On Exercise
• 5.5 Activity

• 6.1 AI-Powered Environmental Monitoring
• 6.2 Use Cases
• 6.3 Case Study
• 6.4 Hands-On Exercises
• 6.5 Activity: Group Exercise

• 7.1 Ethical AI, Workforce Augmentation & AI Regulations
• 7.2 Use Cases
• 7.3 Case Study
• 7.4 Hands-On Exercises

• 8.1 AI-Driven Decision-Making in Mining
• 8.2 Use Cases
• 8.3 Case Study

• TensorFlow
• Keras
• Hadoop
• Python
• Tableau
• Matplotlib
• SQL
• Apache Spark
• Predictive Maintenance Software
• Mining Simulation Tools
• Computer Vision Tools
• IoT Integration Platforms
• Accela Civic Platform

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.