Level 0 — U-ASDLC Foundation Certificate
Certified U-ASDLC Foundations Practitioner (CFP)
About this course
This level establishes shared language, mindset, and structure.
Intended audience
Beginners, Career Switchers, Junior Professionals, Non-Technical Stakeholders
What you'll learn
- Understand Agile, SDLC, and AI orchestration as a single integrated system
- Learn how humans + AI agents collaborate inside modern delivery teams
- Identify all roles, actors, and responsibilities in an AI - enabled SDLC
- Understand why orchestration matters, not just how tools work
- Learn to read and reason about workflows, backlogs, and delivery pipelines
Outcomes
- Participate confidently in Agile / AI - driven projects
- Communicate effectively with developers, product owners, and AI systems
- Understand project flow from idea → delivery → iteration
- Act as a junior orchestration- aware contributor
Syllabus
Module 1 — Agentic SDLC Foundations (Practitioner Level)
Establish a shared mental model for AI-driven software delivery by replacing human-only SDLC assumptions with agent-first execution logic.
Core outcomes
- Explain how traditional SDLC phases map to autonomous agents
- Design a basic multi-agent delivery pipeline
- Apply Agile principles to AI-orchestrated workflows
1. Agentic SDLC Model
- Human SDLC vs Agentic SDLC
- Deterministic vs probabilistic execution
- Where AI agents replace, assist, or supervise humans
2. Core Agent Roles
- Planner Agent
- Architect Agent
- Developer Agent
- Tester Agent
- Reviewer / Governance Agent
3. Agile Mapping
- Scrum ceremonies → Agent cycles
- Kanban flow → Continuous agent execution
- SAFe concepts → Hierarchical agent swarms
4. Work Artifacts
- Agent prompts as executable specs
- Backlogs as machine-readable inputs
- Definition of Done for AI agents
Assessment
- Scenario-based multiple choice
- Short-answer SDLC mapping
- Mini design task: Agentic sprint flow
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: Entry-level, career switchers, junior engineers, product managers
Goal: Understand SDLC + AI agents as participants, not magic tools
| Component | Weight |
|---|---|
| Multiple-Choice Exam | 40% |
| Scenario-Based Short Answers | 30% |
| Mini Practical Exercise | 30% |
1. Knowledge Exam
- 40–50 MCQs
- Topics: Agile & SDLC fundamentals; Scrum vs Kanban vs SAFe (high level); basic AI agent roles (Planner, Dev, Reviewer); ethical & governance basics
- Pass mark: 70%
2. Scenario Questions
Your AI agent produces working code but no tests. What SDLC control failed and how do you fix it?
- 5–7 short scenarios
- Evaluates: SDLC literacy; basic orchestration awareness; risk recognition
3. Mini Practical
- Deliverable (template-based): simple AI-assisted workflow (one backlog item, one agent role, one review checkpoint)
- Assessed on: correct structure; clear intent; safe usage
Certification awarded
U-ASDLC Foundations Practitioner
Note
This level does not certify execution. It certifies foundational understanding.