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Duration 14 hours
Course Outline
Introduction to ChatGPT and Generative AI
- An overview of what ChatGPT is and how it functions.
- A broader look at the role of generative AI within the mining industry.
- Key ethical considerations, limitations, and practical applications.
Prompt Engineering for Mining Applications
- Mastering prompt structure and controlling AI responses.
- Formulating prompts for data analysis, report generation, and compliance documentation.
- Creating context-aware interactions tailored to mining-specific tasks.
Documentation and Report Generation
- Drafting safety reports, incident summaries, and compliance-related documents.
- Developing 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.
- Producing accessible content for non-technical stakeholders.
- Supporting multilingual teams and community engagement through language tools.
Data Insights and Decision Support
- Leveraging AI to interpret both structured and semi-structured datasets.
- Generating hypotheses and recommendations based on operational data.
- Integrating ChatGPT with spreadsheets and business intelligence tools.
Automation and Workflow Integration
- Connecting ChatGPT with scripts, APIs, and third-party platforms.
- Utilizing automation tools such as Zapier or Power Automate to trigger AI tasks.
- Designing AI-driven workflows for document management and alert systems.
Use Cases and Customization
- Examining real-world mining scenarios, including exploration, logistics, and health and safety.
- Designing custom chatbots and task-focused AI agents.
- Discussing future potential and roadmap planning for AI adoption.
Summary and Next Steps
Requirements
- A foundational grasp of basic mining operations or industry processes.
- An understanding of enterprise software tools or established data handling workflows.
Target Audience
- Mining engineers and operations managers.
- IT specialists and data analysts operating within the mining industry.
- Innovation teams investigating AI-driven solutions for mining applications.
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
