Level 4 — U-ASDLC Master Certification
Certified U-ASDLC Master (CUM)
About this course
This level is about creation, evolution, and leadership of the discipline itself.
Intended audience
Principal Engineers, CTOs, Consultants, Trainers
What you'll learn
- Define new orchestration patterns and frameworks
- Design proprietary or open - source SDLC models
- Evaluate and evolve AI systems over time
- Mentor teams and certify others
- Shape organizational or industry - level practices
Outcomes
- Create their own AI - SDLC methodologies
- Act as a principal consultant or educator
- Lead transformation initiatives
- Contribute to the evolution of U - ASDLC itself
Syllabus
Module 5 — Enterprise-Scale Agentic Systems (Architect Level)
Prepare learners to architect, justify, and operate agentic systems at organizational scale.
Core outcomes
- Design enterprise-grade AI orchestration platforms
- Align agent systems with business strategy
- Lead AI-first SDLC transformations
1. System Architecture
- Agent platforms vs embedded agents
- Multi-tenant agent systems
- Cost and performance modeling
2. Organizational Adoption
- Team structures for agentic delivery
- Change management
- Measuring ROI and productivity
3. Operating Model
- Continuous improvement loops
- Observability and metrics
- Incident management with agents
4. Capstone Architecture
- End-to-end agentic SDLC design
- Tooling, governance, execution, and scaling
Assessment
- Capstone design submission
- Architecture defense (scenario-based)
- Final certification exam
Exam & assessment model
Closed-book, scenario-first, audit-ready. Each level is independently certifiable.
Global assessment principles (locked)
- Closed-book exams (except where explicitly stated)
- Scenario-first questions (real SDLC / AI orchestration contexts)
- AI-augmented allowed only where explicitly permitted and evaluated
- Passing requires competence across all dimensions, not just one
- No single assessment decides pass/fail (anti-cramming design)
Assessment pillars
| Pillar | Purpose |
|---|---|
| Knowledge Exam | Verify conceptual & theoretical mastery |
| Scenario Analysis | Test judgment, trade-offs, and decision-making |
| Practical Artifact | Prove ability to build/design/orchestrate |
| Oral / Review Defense | Confirm authorship, reasoning, and clarity |
Level model
Audience: CTOs, AI platform founders, lead architects
Goal: Demonstrate mastery & original thinking
| Component | Weight |
|---|---|
| Real-World Capstone | 60% |
| Panel Review | 40% |
Capstone
- Real system or simulated enterprise-scale design
- Must include: multi-team orchestration; cost governance; incident response; AI safety model
Panel Review
- Defense before certified reviewers
- Focus: judgment; systems thinking; leadership maturity
Certification awarded
U-ASDLC Master Orchestrator (Board Certification)
Note
This level certifies thought leadership and mastery, not just skill.