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Course Outline

Introduction to ChatGPT and Generative AI

  • Defining ChatGPT and understanding its functionality
  • The role of generative AI in the mining sector
  • Ethical considerations, limitations, and practical applications

Prompt Engineering for Mining Applications

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

Documentation and Report Generation

  • Drafting safety reports, incident summaries, and compliance documents
  • Producing operational briefings or training materials with AI assistance
  • Condensing 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

  • Leveraging AI to interpret structured and semi-structured data
  • Formulating 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
  • Utilizing tools such as Zapier or Power Automate to initiate AI tasks
  • Designing AI-driven workflows for document management or alert systems

Use Cases and Customization

  • Real-world scenarios in mining, including exploration, logistics, and health & safety
  • Designing custom chatbots and task-oriented 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 handling workflows

Target Audience

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

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