Governance
Unified-Agentic SDLC

Certification governance

A formal, enforceable governance model for all U-ASDLC certification modules and levels — covering validity, renewal, revocation, digital badges, verification, and compliance.

Certification governance framework (applies to all modules & levels)

The intent is global credibility, zero/low-cost operations initially, and an easy path to scale.

1. Certification validity policy

Purpose: Ensure certifications remain relevant in a fast-moving AI & SDLC landscape.

Standard validity period

  • All U-ASDLC certifications: 24 months
  • Validity starts from the exam pass date or final practical assessment approval.

Why 24 months

  • Aligns with industry norms (AWS, Scrum, SAFe, ISC²)
  • Matches AI tooling and SDLC evolution cycles
  • Prevents lifetime certification dilution

2. Renewal policy

Purpose: Keep practitioners current without forcing full re-certification.

Renewal options (choose one)

1) Continuing education (preferred)

  • Complete 12–20 CPUs (Certification Progress Units)
  • CPUs via new modules, tool updates, published case studies, or approved community contributions

2) Delta exam

  • Short, focused exam on new agent patterns, updated governance rules, and toolchain evolution

3) Practical revalidation

  • Submit updated orchestration architecture, agent workflow demo, and governance checklist alignment

Renewal grace period

  • 90 days after expiration
  • After grace, certification becomes Inactive.

3. Certification status states

Each certification exists in one clear state.

StatusMeaning
ActiveFully valid and verifiable
InactiveExpired but renewable
SuspendedTemporarily invalid (under review)
RevokedPermanently invalid
RetiredCertification version sunset

All states are publicly verifiable.

4. Revocation & suspension policy

Purpose: Protect the credibility of the certification brand.

Grounds for suspension

  • Proven plagiarism
  • Exam integrity breach
  • False claims of certification
  • Misrepresentation of work
  • Violation of AI governance ethics

Grounds for revocation

  • Repeated violations
  • Fraudulent identity or credentials
  • Commercial misuse of certification branding
  • Selling or leaking exam materials

Due process

  1. 1Incident logged
  2. 2Evidence review
  3. 3Candidate notified
  4. 4Appeal window (14 days)
  5. 5Final ruling documented

Outcome transparency

  • Revoked certifications remain listed as revoked (no silent removals)

5. Digital badge system

Purpose: Modern, portable proof of competence.

Badge standard

  • Open Badges compliant
  • Metadata includes holder name, certification level, module scope, issue date, expiry date, and verification URL

Where badges can be used

  • LinkedIn
  • CVs / portfolios
  • GitHub READMEs
  • Personal websites
  • Employer verification portals

Badge types: levels

  • Foundation
  • Practitioner
  • Professional
  • Architect
  • Master

Badge types: modules

  • Agent governance
  • Orchestration design
  • AI-driven SDLC
  • Compliance & risk
  • Toolchain implementation

Stackable badges

  • Combined into higher-level credentials
  • Visible progression path

6. Verification & registry

Purpose: Zero-trust verification with no manual emails.

Public certification registry

  • Unique Certification ID
  • QR-code verification link
  • Status indicator (Active / Expired / Revoked)
  • Issued modules & levels

Verification data exposed

  • Name
  • Certification title
  • Level
  • Validity window
  • Badge links

Privacy-safe

  • No exam scores
  • No personal data beyond name

7. Module-specific governance rules

Purpose: Respect increasing responsibility by level.

Foundation & practitioner

  • Renewal every 24 months
  • Lower CPU requirement
  • Optional delta exam

Professional & architect

  • Mandatory renewal
  • CPUs plus practical proof
  • Governance and ethics reaffirmation

Master level

  • Annual activity review
  • Contribution requirement
  • Peer or board validation
  • Can be retired rather than expired

8. Certification versioning

Purpose: Prevent outdated certifications being misused.

  • Certifications include a version number (e.g. U-ASDLC Architect v1.2).
  • Major version changes trigger retirement of older versions with controlled upgrade paths.

9. Governance authority structure

Initially (lean / zero-budget)

  • Certification owner (program owner)
  • Independent reviewer (trusted SME)
  • Automated registry and audit logs

Later (scale-up)

  • Certification board
  • External advisors
  • Industry reviewers
  • Employer advisory council

10. Legal & trust positioning

Key statements included in ToS and certificates.

  • Certification confirms competence, not employment eligibility
  • Certification does not replace legal compliance
  • Governance rules are enforceable
  • Misuse is grounds for revocation

Final outcome

  • Credible (clear rules, enforcement, renewal)
  • Modern (digital badges, public verification)
  • Scalable (works solo to global)
  • Defensible (audit trail and due process)
  • Commercial-ready (employer-friendly)

Use this governance model everywhere

Link it from course pages, certificates, and public verification.