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 Duration 14 hours

Course Outline

Introduction to ChatGPT and Generative AI

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

Prompt Engineering for Mining Applications

  • Grasping the principles of prompts and controlling AI responses
  • Structuring prompts for data analysis, reporting, and compliance tasks
  • Designing context-aware interactions for mining-specific objectives

Documentation and Report Generation

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

Communication and Stakeholder Support

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

Data Insights and Decision Support

  • Leveraging AI to interpret structured and semi-structured data sets
  • Generating hypotheses or strategic recommendations based on operational inputs
  • Integrating ChatGPT with spreadsheets and business intelligence platforms

Automation and Workflow Integration

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

Use Cases and Customization

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

Summary and Next Steps

Requirements

  • A foundational familiarity with basic mining operations or processes
  • A basic understanding of enterprise software tools or data handling workflows

Target Audience

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

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