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Course Outline

Introduction to ChatGPT and Generative AI

  • Understanding ChatGPT and its underlying mechanics.
  • Overview of generative AI applications in the mining industry.
  • Ethical considerations, limitations, and practical implementation factors.

Prompt Engineering for Mining Applications

  • Mastering prompt structure and response control.
  • 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 or training materials using AI assistance.
  • Summarizing technical papers or exploration datasets.

Communication and Stakeholder Support

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

Data Insights and Decision Support

  • Leveraging 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

  • Connecting ChatGPT with scripts, APIs, or third-party platforms.
  • Using automation tools like Zapier or Power Automate to trigger AI tasks.
  • Designing AI-powered workflows for document management or alert systems.

Use Cases and Customization

  • Real-world scenarios in mining, including exploration, logistics, and health and safety.
  • Custom chatbot design and task-focused AI agents.
  • Exploring future potential and strategic roadmap planning.

Summary and Next Steps

Requirements

  • Basic familiarity with 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 exploring AI-driven solutions for mining applications.
 14 Hours

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