Model Lifecycle Decision
Evaluate and package a model candidate with scoped lifecycle approval.
Design exercise; executable implementation pending
Evaluate model fit, licensing, provenance, packaging, approval, updates, and retirement inside a controlled lifecycle.
Learning outcomes
Curriculum
The chapters are individually addressable documentation pages. You can link directly to a concept from another program, architecture decision, or implementation guide.
Define the model asset, its attack surface, and the lifecycle decisions that require control.
Manage a model as a versioned governed asset from discovery through retirement.
Inventory the data, models, prompts, artifacts, identities, tools, interfaces, infrastructure, and evidence that require protection.
Identify software, models, data, prompts, policy, and configuration with verifiable origin and lineage.
Apply explicit fitness, risk, license, and operational acceptance criteria.
Compare model fitness, risk, licensing, operational constraints, and sovereignty consequences.
Turn acceptance criteria into repeatable promotion decisions with recorded evidence and rollback conditions.
Create an authoritative model record and maintain it through change and retirement.
Package models with provenance, evaluation, configuration, policy, and approval metadata.
Detect material change, reassess fitness, control updates, preserve rollback, and retire safely.
Version complete AI behavior, assess change impact, approve promotion, support rollback, and retire superseded assets.
Record context, options, control consequences, evidence, dependencies, limitations, and reversal triggers for material decisions.
Produce traceable lifecycle evidence and test the complete decision.
Design evidence alongside controls so important decisions, releases, configurations, and operating events can be verified.
Evaluate an open-weight model candidate and produce a controlled lifecycle decision package.
Verify model acceptance, licensing, provenance, packaging, release, monitoring, and retirement decisions.
Evaluate and package a model candidate with scoped lifecycle approval.
Design exercise; executable implementation pending
This public curriculum teaches a model-governance method, not approval of any named model or license interpretation. Legal, security, safety, performance, and workload-specific review remain the responsibility of the adopting organization.