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Course Outline

Introduction to ChatGPT and Generative AI

  • Understanding ChatGPT and its underlying mechanisms
  • Overview of generative AI applications in the mining industry
  • Ethics, limitations, and practical considerations

Prompt Engineering for Mining Applications

  • Grasping prompts and controlling responses
  • Structuring prompts for data analysis, reporting, and compliance
  • Designing context-aware interactions specific to mining tasks

Documentation and Report Generation

  • Drafting safety reports, incident summaries, and compliance documents
  • Creating operational briefings and training materials using AI
  • Summarizing technical papers and exploration data

Communication and Stakeholder Support

  • Generating memos, email drafts, and meeting agendas
  • Developing accessible content for non-technical stakeholders
  • Language support for multilingual teams and local communities

Data Insights and Decision Support

  • Using AI to interpret structured and semi-structured data
  • Generating hypotheses or recommendations based on operational inputs
  • Integrating ChatGPT with spreadsheets and business intelligence tools

Automation and Workflow Integration

  • Integrating ChatGPT with scripts, APIs, or third-party platforms
  • Utilizing tools like Zapier or Power Automate to trigger AI tasks
  • Designing AI-powered workflows for document management or alerts

Use Cases and Customization

  • Real-life scenarios in mining (exploration, logistics, health and safety)
  • Custom chatbot design and task-focused AI agents
  • Discussion of future potential and roadmap planning

Summary and Next Steps

Requirements

  • Familiarity with fundamental mining operations or processes
  • Understanding of enterprise software tools or data handling workflows

Target Audience

  • Mining engineers and operations managers
  • IT and data specialists working within the mining sector
  • Innovation teams investigating AI-driven solutions in mining
 14 Hours

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