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Course Outline
Introduction to ChatGPT and Generative AI
- Exploring what ChatGPT is and its underlying mechanisms.
- An overview of generative AI applications in the mining industry.
- Addressing ethics, limitations, and practical considerations.
Prompt Engineering for Mining Applications
- Understanding prompts and controlling responses.
- Structuring prompts for data analysis, reporting, and compliance.
- Designing context-aware interactions for mining-specific tasks.
Documentation and Report Generation
- Drafting safety reports, incident summaries, and compliance documentation.
- Creating operational briefings or training materials using AI.
- Summarizing technical papers or exploration data.
Communication and Stakeholder Support
- Generating memos, email drafts, and meeting agendas.
- Developing 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.
- Generating hypotheses or recommendations based on operational inputs.
- Integrating ChatGPT with spreadsheets and business intelligence tools.
Automation and Workflow Integration
- Integrating ChatGPT with scripts, APIs, or third-party platforms.
- Using automation tools like Zapier or Power Automate to trigger AI tasks.
- Designing AI-powered workflows for document management or alerts.
Use Cases and Customization
- Real-life mining scenarios, including exploration, logistics, and health and safety.
- Custom chatbot design and task-focused AI agents.
- Discussing future potential and strategic roadmap planning.
Summary and Next Steps
Requirements
- Basic understanding of mining operations or processes.
- Familiarity with enterprise software tools or data handling workflows.
Target Audience
- Mining engineers and operations managers.
- IT and data specialists working within the mining sector.
- Innovation teams exploring AI-driven solutions for mining applications.
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
