🧭 Ninobyte Student Workspace Preview

A preview of the ticket-driven learner workspace used in Ninobyte AWS AI labs.

This repository previews how learners actually work inside a Ninobyte lab: they progress through tickets, collect sanitized evidence, draft proof-pack artifacts, and prepare portfolio-safe reflections. It is a public, illustrative preview — the real learner workspaces are private.

This repository is a public preview only. It shows the model, not a usable workspace.

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🧪 The workspace at a glance

flowchart TD
    A[Student Workspace] --> B[Tickets]
    A --> C[Evidence]
    A --> D[Proof Pack]
    A --> E[Reflection]
    B --> F[Issue-style workflow]
    C --> G[Sanitized evidence only]
    D --> H[Portfolio-safe artifacts]

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How the learner workspace works

• Tickets — discrete, realistic tasks that drive the work.
• Evidence folder — a place to keep sanitized supporting evidence.
• Proof-pack drafts — the artifacts a learner builds and refines.
• Reflection notes — short write-ups on reasoning and decisions.
• Sanitization checklist — a gate applied before anything is shared.
• Optional GitHub Issues workflow — for tracking tickets and review.

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Example workflow

Open ticket → perform lab task → collect sanitized evidence → draft artifact → reflect → submit for review

See EXAMPLE_TICKET_SHAPE.md for a generic ticket structure and EVIDENCE_HANDLING_PRINCIPLES.md for how evidence is handled safely.

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🧾 Proof packs and reflection

• A proof pack is the portfolio-safe set of artifacts a learner produces — sanitized evidence and analysis a reviewer or employer can read.
• A reflection is a short note on reasoning and decisions, capturing not just what was done but why.

Together they turn lab practice into demonstrable, shareable skill.

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🔒 How this differs from the private template

This public preview explains the model. It is not the workspace learners use.

	This preview (public)	Student template (private)
Purpose	Explain the workspace model	Provision a real learner workspace
Contents	Generic shapes and principles	Full ticket library and scaffolding
Access	Anyone	Enrolled learners only

The actual template repository is private and is provisioned for enrolled learners.

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✅ What this public preview contains

• An overview of the learner workflow
• A safe, generic example ticket shape
• A high-level proof-pack and reflection overview
• Evidence-handling principles

🚫 What it does not contain

• The private student template
• The full ticket library
• Solution guides
• AWS credentials
• Terraform or infrastructure code
• Real evidence or student submissions
• Live lab access

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Future note

A CloudOps student workspace may be introduced in the future. It does not exist yet. Today, the learner workspace model is used in the AI Security & Governance Lab — AWS Edition, and the actual template repository remains private.

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✅ Status

Public preview only. Actual learner workspaces remain private during beta.

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Next step

Explore the Ninobyte CloudOps Lab organization for the full picture. For partnership, cohort, or review conversations, reach Ninobyte through its official channels.