ninobyte-cloudops-lab/student-workspace-preview

# 🧭 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. ## 🧪 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] ## 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. ## Example workflow See [`EXAMPLE_TICKET_SHAPE.md`](EXAMPLE_TICKET_SHAPE.md) for a generic ticket structure and [`EVIDENCE_HANDLING_PRINCIPLES.md`](EVIDENCE_HANDLING_PRINCIPLES.md) for how evidence is handled safely. ## 🧾 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. ## 🔒 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. ## ✅ 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 ## 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. ## ✅ Status Public preview only. Actual learner workspaces remain private during beta. ## Next step Explore the [Ninobyte CloudOps Lab organization](https://github.com/ninobyte-cloudops-lab) for the full picture. For partnership, cohort, or review conversations, reach Ninobyte through its official channels.