Training
The process of showing a model many examples paired with desired answers and repeatedly adjusting the model's internal settings so its answers on those examples grow closer to the desired ones. Training does not teach a concept; it fits the cheapest available pattern in the supplied data that satisfies the objective.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The process of showing a model many examples paired with desired answers and repeatedly adjusting the model's internal settings so its answers on those examples grow closer to the desired ones. Training does not teach a concept; it fits the cheapest available pattern in the supplied data that satisfies the objective.
The process of building an AI model by feeding it large quantities of data and adjusting its internal parameters until it reliably produces useful outputs. Training a frontier model is expensive, hardware-intensive, and happens infrequently relative to how often the resulting model is used.
The one-time (per version) process of building a model, energy-intensive but usually inherited from the vendor and counted in the buyer's Scope 3 rather than generated directly.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Train a model with your own hands and watch what it actually learns · Build Before You Govern, Certified AI Governance Professional (CAIGP)
- The Only Ten Things About AI That Matter in Policy · The Point Person Mandate, The AI Lobbyist: Certified AI Policy Strategist
- Sustainability, ESG and the Carbon Cost of AI · Governance and Responsible AI, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Training starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Writes policies with scope, responsibilities, requirements, exceptions and evidence, so people can follow them and auditors can test them.
One lesson on this page teach it as a primary outcome.
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
One lesson on this page teach it as a primary outcome.
Tracks executive orders, OMB guidance, agency rules and the state patchwork, and knows which state laws reach hiring, insurance and consumer decisions.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Compliance Officer, AI compliance editionneeds it at depth
- AI Governance Managerneeds it at depth
- AI Compliance Managerneeds working knowledge · 2 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- AI Policy Analystneeds it at depth · 7 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: ISO/IEC 42001 Clause 5.2; NIST AI RMF GOVERN 1; OMB M-25-21 and M-25-22; Colorado SB 24-205.
One interview question about it
Show me how you turn a principle like human oversight into a policy clause an engineer can implement and an auditor can test.
Asked of candidates for ai policy and standards writing. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Compliance and regulatory affairs carries it as a claim to back up: Policy drafting is usually in the role, described rather than shown.
- Nonprofit program and grants oversight carries it as a claim to back up: Acceptable-use and program policy drafting is common.
- Data analysis, stewardship and business intelligence carries it as a claim to back up: SQL and analytical fluency make the technical layer approachable.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.