AI Training · Mining & Metals
AI Training for Mining & Metals
A mine site runs on shift handovers, work orders, inspection notes, incident chronologies, permit evidence, and supplier correspondence about as often as it runs on equipment, and that paperwork often moves between a remote site and a head office in different languages. This training shows your teams where generative AI can draft, summarize, and organize that text reliably.
It also draws a hard line around where AI has no business being: ore-body, safety, and engineering calls stay with the qualified professionals accountable for them.
- modules
- 6
- hours
- 12
Some of the 500+ brands we've worked with
Selected brands we’ve worked with across industries.
MeteksanGlobalCase Study
VisperaGlobalCase Study
Why this training
Why AI in this industry
Add the ESG narrative and permit renewal, plus the supplier email chain nobody assigned to anyone in particular. A mine site's actual output each day is ore and a stack of paperwork that has to be just as accurate: shift handovers, work orders, inspection notes, incident chronologies, permit evidence, supplier correspondence. Engineers, supervisors, and specialists write almost all of it in between running the site, which is the job they're there for.
A mishandled geological or safety input creates exposure that outlasts the meeting, so this training doesn't teach AI to run equipment, estimate reserves, optimize a haul route, or authorize a safety call — those decisions stay with qualified engineers, geologists, and safety officers. Operations, maintenance, HSE, permitting, and procurement teams instead draft and organize documentation, with a named reviewer at every handoff. Manufacturing-adjacent operations may prefer AI training for manufacturing.
Shift reports don't stop when the shift does
Shift reports, work orders, inspection notes, and permit evidence pile up daily for supervisors and engineers who should be running the site — a first AI-assisted draft clears the backlog without lowering the record standard.
Ask around and you'll find two or three people who know why
Veteran operators and technicians know why a procedure exists and how a recurring fault was fixed — AI turns their notes, radio logs, and one-off answers into something the next shift can search.
HSE files get read by people who weren't there
Regulators, insurers, and community groups need an incident report to make sense though they weren't on site — under time pressure, partial notes turn gaps into assumptions.
Permits and ESG paperwork don't wait for a slow month
Permit conditions, ESG narratives, regulator updates, and community messages compete with tenders and supplier follow-ups for one small team's time, often across two or three site-to-head-office languages.
The model leaves geology and set-points alone, including safety sign-off
Geological models, engineering set-points, and safety authorization are never a drafting tool's decision — a wrong number in a technical or safety document is a real risk, so only a qualified reviewer signs off.
Syllabus
Training syllabus
Telling a language model from a control system
90 minBeginner
The site already runs predictive, vision, and control systems for exploration, processing, and dispatch, and generative AI stays in its own lane alongside them. Desk and field-support work is where the model actually helps. Technical and safety content is where it starts inventing detail instead of raising a flag.
- The predictive, vision, and control systems already on site, kept apart from a language model
- Where large language models help desk and field-support work, and where they don't
- What a hallucinated fact looks like inside a technical or safety document
- Engineering and geological decisions stay with qualified staff, as do safety calls
- A documentation-first pilot
Prompting your site can trust
90 minBeginner
Site procedures, manuals, and permit conditions use a repeatable prompt shape: role, context, approved source, output format, and review, with the model required to flag uncertainty rather than offer a fast guess.
- Mine documents get the same five-part structure: role, context, source, output, review
- Querying procedures without guessing
- Asking the model to flag uncertainty instead of inventing a missing detail
- A searchable entry built from a foreman's or geotechnician's notes
- A reviewed prompt library your site keeps using after the workshop ends
Shift, production, and maintenance paperwork, handled faster
150 minIntermediate
Operations and maintenance teams use structured field notes for shift handovers plus production and maintenance records. Every workflow ends with a named reviewer before a draft reaches a shift or a work order closes out, no matter how busy that reviewer already is.
- Shift handovers and daily production summaries pulled from structured field notes
- Work-order and inspection-note synthesis for maintenance and reliability teams
- Ordering a maintenance backlog by what needs doing first
- Toolbox-talk and procedure drafts ready for a supervisor's sign-off
- What a shift supervisor checks before any draft goes out
- Consistent handovers across sites
HSE files and the operational-learning loop
120 minIntermediate
An incident timeline gets pieced together from confirmed records only, never a guess about what probably happened. Lessons-learned notes and safety communication for crews and contractors get the same discipline, with a clear route for anything the model shouldn't decide.
- Piecing together an incident timeline from confirmed records
- Drafting lessons-learned notes that don't assign causality ahead of an investigation
- Safety communication for crews and contractors during shift briefings
- Audit and compliance evidence organized for regulator and internal reviews
- Anything safety-critical and uncertain goes to a qualified reviewer
Permits, ESG, procurement, and the people on the other end of the email
150 minIntermediate
Permitting, sustainability, procurement, and community-relations teams draft permit-condition summaries, ESG narratives, tender and supplier correspondence, and multilingual updates between site and head office. Each one carries a clear sign-off step, and a regulator or a community group sees the result only after that sign-off happens.
- Permit-condition tracking and evidence summaries for renewal cycles
- ESG and sustainability narratives drafted from approved data sources
- Community and regulator communication a site can stand behind
- Writing tender and RFQ material with supplier correspondence for procurement teams
- Multilingual site-to-head-office reporting
- Naming who signs off before community- or regulator-facing text goes out
Governance and a 90-day adoption plan
90 minAdvanced
This closing module brings individual technique into day-to-day site practice. Teams classify sensitive data and keep it out of unapproved tools, then decide who reviews what before it goes anywhere. It ends by naming people across shifts and sites who keep the momentum going, plus a phased adoption plan.
- Classifying geological, safety, employee, and commercial data
- Keeping site data out of consumer AI tools: OT and cyber boundaries explained in plain terms
- A risk-mapped review matrix
- People across shifts and sites who keep the momentum going after the workshop
- A 30/60/90-day adoption plan to walk out with
Outcomes
Outcomes & audience
What you will learn
- Turn a shift handover into a record worth trusting
- A ranked maintenance backlog
- An answer with its source
- Piece together an incident timeline from confirmed records, causality left to the investigation
- Draft lessons-learned notes ahead of the formal finding
- Prepare permit and ESG drafts for community sign-off
- Write tender and RFQ material with supplier correspondence across languages
- Classify sensitive site data, then walk out with a 30/60/90-day plan
Who should attend
- Mine operations excellence and technical services leaders
- Maintenance and reliability teams in processing or plant work
- HSE managers and officers working with incident investigators
- Permitting and ESG teams responsible for community relations
- Procurement and supply-chain teams responsible for contracts
- Digital transformation leads and corporate academy or L&D leaders
Format
Training format
The full course runs two days. Sites typically break it into shorter blocks to work around shift patterns and remote-site schedules. Onsite and live-online delivery both use exercises built around your approved tools fitted to your commodity and site structure.
- Format
- Onsite or live online
- Duration
- 2 days (about 11.5 hours, can be split across shift patterns)
- Group size
- Up to 20 participants per group
- Language
- English or Turkish
- Materials
- Prompt library, document templates, review checklists, and exercise workbook
- Certificate
- Certificate of completion
Keep exploring
Related programs
Next step
Let's put a program together for your site
Questions
Frequently asked questions
Who is this built for on a mine site?
Site and head-office staff who write mine documentation for a living: operations excellence and technical services people, maintenance and reliability teams, HSE managers and investigators, permitting, ESG, and community-relations staff, and procurement teams. We plan the cohort with you so exercises track the document types each group handles.
Do I need a geology or engineering background to keep up?
No. There's no coding or data-science prerequisite here. Whatever documents your role produces, shift reports, work orders, permit conditions, or supplier correspondence, that's the only background you need.
How much time does a site have to give up?
Two days, roughly 11.5 hours of instruction, onsite or your choice of live online, typically broken across shift patterns so a team never has to disappear for two straight days.
Does the syllabus actually change for our commodity and site?
A coal operation and a precious-metals processor need different exercises, and that's exactly what happens. A discovery call comes first. We learn your commodity and site structure, then build the case examples from what that call turns up.
Can AI make a geological or engineering decision on safety here?
No. The program trains people to draft and summarize documentation before organizing it with a review step built in. It doesn't cover autonomous extraction, dispatch optimization, blast design, ore-body estimation, or safety authorization, all of which stay with your qualified engineers, geologists, and safety officers.
What happens to sensitive mine data during the sessions?
A live production record never enters the room. The data is synthetic or anonymized. Classifying geological, safety, employee, and commercial data gets its own module, including where the OT and cyber boundaries sit.
Which AI tools do we practice on?
Most sites already have access to ChatGPT, Microsoft Copilot, or Gemini, so those are the defaults. Where a site runs something else, an approved internal assistant or a licensed enterprise deployment, the exercises move onto that instead.
How does pricing work?
Group size is one factor, since a bigger cohort changes how the days run. Delivery format is another: onsite and live online carry different costs. Customization depth adds a third variable, from a light adaptation to exercises rebuilt entirely around your site's own data. Location closes the list, and a proposal follows once we know where all four land for your site.