AI-Native Engineering

AIDLC – AI-Native Software Development Lifecycle

From AI User to AI-Native Delivery Leader

3 Progressive Levels

Capstone + Career Readiness

3 Months · 12 Weekends

12 Weeks

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Why It Matters

AI is becoming embedded across Discovery, Requirements, Architecture, Development, Testing, Deployment and Operations.
Modern engineers need to move beyond occasionally asking AI questions — they need to structure context, delegate work to agents, maintain human checkpoints, and govern AI-assisted execution.
AIDLC is not a collection of AI tool tutorials or a prompting-only course. It is a framework for systematic, AI-native delivery built on established engineering discipline.

LAYER 1 · WEEK 1

Engineering Foundation

Python · APIs · JSON · Pytest · Git · reusable automation

Outcome: establish reusable quality automation

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LAYER 2 · WEEKS 2–4

AI Evaluation Engineering

LLM evaluation · golden datasets · RAG validation · safety · adversarial testing · regression

Outcome: build calibrated evaluation evidence

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LAYER 3 · WEEKS 5–6

Agent Quality Engineering

Planning · tools · state · memory · loops · security · permissions · governance

Outcome: validate controlled agent behaviour

Layer 1 — Engineering Foundation

Layer 2 — AI Evaluation Engineering

Layer 3 — Agent Quality Engineering

Use AI systematically and reliably across the engineering lifecycle.
Execute product, architecture, development, quality and DevOps work with AI assistance.
Orchestrate, govern and lead AI-native software delivery.
Present and defend a complete end-to-end capstone solution.

Kick-off in Weekend 9, built and refined across Weekends 10–11, presented and defended in Weekend 12.
Evaluated across Product, Architecture, Development, Quality, Deployment & Operations, AI Orchestration, Governance and Executive Communication.
Artifacts can include requirements, product spec, architecture & ADRs, implementation, test strategy, deployment strategy, AI agents/skills, and a final executive presentation.

Career Readiness Track begins after Weekend 9, running alongside Expert training and Capstone work.
Covers role identification, resume and LinkedIn positioning, GitHub/portfolio guidance, and mock interviews.
LearnZone.ai provides Job Assistance and Career Transition Support. Placement, interviews, salary outcomes and employment are not guaranteed. Outcomes depend on individual experience, preparation, effort, market conditions and employer decisions.

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