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Course Outline

Introduction to ChatGPT and Generative AI

  • Defining ChatGPT and explaining its mechanisms
  • Overview of generative AI applications in the mining industry
  • Ethical considerations, limitations, and practical implications

Prompt Engineering for Mining Applications

  • Comprehending prompts and controlling responses
  • Structuring prompts for data analysis, reporting, and compliance
  • Designing context-sensitive interactions for mining-specific tasks

Documentation and Report Generation

  • Drafting safety reports, incident summaries, and compliance documents
  • Developing operational briefings or training materials with AI assistance
  • Summarizing technical papers or exploration data

Communication and Stakeholder Support

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

Data Insights and Decision Support

  • Utilizing 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
  • Employing tools like Zapier or Power Automate to trigger AI tasks
  • Designing AI-driven workflows for document management or alerts

Use Cases and Customization

  • Real-world scenarios in mining (exploration, logistics, health and safety)
  • Designing custom chatbots and task-focused AI agents
  • Discussing future potential and roadmap planning

Summary and Next Steps

Requirements

  • Basic familiarity with mining operations or processes
  • Understanding of enterprise software tools or data management workflows

Target Audience

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

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