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 Duration 14 hours

Course Outline

Introduction to ChatGPT and Generative AI

  • Defining ChatGPT and explaining its functional mechanics.
  • An overview of generative AI applications within the mining industry.
  • Examining ethical considerations, limitations, and practical use cases.

Prompt Engineering for Mining Contexts

  • Grasping prompt structure and response management.
  • Crafting prompts for data analysis, reporting, and compliance needs.
  • Building context-sensitive interactions for specific mining tasks.

Documentation and Report Creation

  • Drafting safety reports, incident overviews, and compliance documentation.
  • Utilizing AI to create operational briefings and training materials.
  • Condensing technical papers and exploration datasets.

Communication and Stakeholder Engagement

  • Generating professional memos, email drafts, and meeting agendas.
  • Developing clear content for non-technical stakeholders.
  • Providing linguistic support for multilingual teams and local communities.

Data Analysis and Decision Support

  • Leveraging AI to interpret both structured and semi-structured data.
  • Formulating hypotheses and recommendations based on operational inputs.
  • Integrating ChatGPT with spreadsheets and business intelligence platforms.

Automation and Workflow Integration

  • Connecting ChatGPT with scripts, APIs, and external platforms.
  • Triggering AI tasks using tools like Zapier or Power Automate.
  • Designing AI-driven workflows for document management and alert systems.

Practical Applications and Customization

  • Reviewing real-world scenarios in exploration, logistics, and health & safety.
  • Designing custom chatbots and task-specific AI agents.
  • Discussing future possibilities and strategic roadmap planning.

Summary and Forward Path

Requirements

  • Basic familiarity with mining operations or industry processes.
  • General understanding of enterprise software tools or data management workflows.

Target Audience

  • Mining engineers and operations managers.
  • IT specialists and data professionals operating within the mining sector.
  • Innovation teams seeking to integrate AI-driven solutions into mining practices.

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