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 Duration 14 hours

Course Outline

Foundations of ChatGPT and Generative AI

  • Defining ChatGPT and understanding its underlying mechanisms.
  • A broad overview of generative AI applications within the mining industry.
  • Examining ethical considerations, limitations, and practical constraints.

Prompt Engineering for Mining Scenarios

  • Grasping the principles of prompts and controlling model responses.
  • Structuring prompts for data analysis, report creation, and compliance tasks.
  • Crafting context-aware interactions specific to mining industry needs.

Documentation and Report Creation

  • Drafting safety reports, incident summaries, and compliance documentation.
  • Generating operational briefings and training materials with AI assistance.
  • Summarizing technical literature and exploration data efficiently.

Communication and Stakeholder Engagement

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

Data Insights and Decision Support

  • Interpreting structured and semi-structured data using AI capabilities.
  • Formulating hypotheses and recommendations based on operational data inputs.
  • Integrating ChatGPT with spreadsheets and business intelligence tools.

Automation and Workflow Integration

  • Connecting ChatGPT with scripts, APIs, and third-party platforms.
  • Leveraging tools such as Zapier or Power Automate to trigger AI-driven tasks.
  • Designing AI-enabled workflows for document management and alert systems.

Use Cases and Customization Strategies

  • Analyzing real-world scenarios in exploration, logistics, and health & safety.
  • Designing custom chatbots and task-focused AI agents.
  • Discussing future potential and planning a strategic roadmap.

Summary and Future Directions

Requirements

  • Basic familiarity with standard mining operations or processes.
  • A fundamental understanding of enterprise software tools or data handling workflows.

Target Audience

  • Mining engineers and operations managers.
  • IT and data professionals working within the mining sector.
  • Innovation teams investigating AI-driven solutions for mining applications.

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