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Course Outline
Introduction to ChatGPT and Generative Artificial Intelligence
- Defining ChatGPT and its underlying operational mechanisms
- An overview of generative artificial intelligence applications within the mining sector
- Ethical frameworks, system limitations, and practical operational considerations
Prompt Engineering for Mining Sector Applications
- Mechanisms of prompt construction and output control
- Structuring queries for data analysis, official reporting, and regulatory compliance
- Designing context-sensitive interactions for specialized mining tasks
Documentation and Report Generation
- Drafting safety documentation, incident summaries, and compliance records
- Developing operational briefings and training materials using artificial intelligence
- Summarizing technical literature and geological exploration data
Communication and Stakeholder Support
- Generating internal memoranda, correspondence drafts, and meeting agendas
- Developing accessible content for non-technical stakeholders
- Providing language support for multilingual teams and public communities
Data Insights and Decision Support
- Utilizing artificial intelligence to interpret structured and semi-structured data sets
- Formulating hypotheses and recommendations based on operational inputs
- Integrating ChatGPT with spreadsheets and business intelligence platforms
Automation and Workflow Integration
- Integrating ChatGPT with scripts, APIs, and third-party platforms
- Employing tools such as Zapier or Power Automate to initiate AI-driven tasks
- Designing AI-enhanced workflows for document management and alert systems
Use Cases and Customization
- Practical scenarios in mining exploration, logistics, health, and safety
- Custom chatbot architecture and task-specific AI agents
- Evaluating future capabilities and strategic roadmap planning
Summary and Recommended Next Steps
Requirements
- Familiarity with basic mining operations or processes
- An understanding of enterprise software tools or data handling workflows
Audience
- Mining engineers and operations managers
- IT and data personnel working in the mining sector
- Innovation teams exploring AI-powered solutions in mining
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.