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Pillar 01 · AI Labs Studio

Describe what you want to learn. Get a real lab.

AI Labs Studio is the half of CloudaQube that builds. Tell it the topic, target role, or scenario — in about five minutes you get a hands-on lab with working code, a real AWS sandbox, curated video, and progressive exercises calibrated to your level.

Generate your first lab (2 free)See Pillar 02 · Career Intelligence
2 labs free No credit card Ready in ~5 min
Sample · Labs Studio output
cloudaqube · ai labs studio
generating · 4m 12s
You

Teach me production EKS — blue-green deploys, IAM IRSA, and observability with Prometheus. I'm comfortable with Docker, new to Kubernetes operations.

Qube · building your lab
Production-grade EKS deployment
  1. 01Provision an EKS cluster with managed node groups· writing now
  2. 02Wire IAM Roles for Service Accounts (IRSA)
  3. 03Deploy a sample service behind an ALB Ingress
  4. 04Add Prometheus + Grafana via Helm
  5. 05Set up blue-green deploys with Argo Rollouts
  6. 06Configure alert rules and SLO burn-rate alerts
  7. +8more lessons
lesson 01 · cluster.tfwriting
CodeTerraform · Helm
Video4 vetted clips
RuntimeReal AWS sandbox
Building6/16 lessons
How it works

Three steps. About five minutes.

AI Labs Studio runs the same way every time: you describe, Qube generates, you build. Watch each lesson appear in real time.

  1. Step 01

    Describe what you want to learn.

    Plain English — a specific AWS service, a DevOps workflow, a system design pattern, or a full cert path. No menus, no taxonomy to memorize.
  2. Step 02

    Watch the lab build.

    In about five minutes Qube streams the full lab: structured lessons, working code (Terraform, YAML, Python), curated video, and progressive exercises tuned to your skill level.
  3. Step 03

    Run it in a real cloud sandbox.

    Spin up a managed AWS sandbox in one click. Production code, real APIs, validated checks. No setup time, no risk to your own account.
The four pieces

What sits inside AI Labs Studio.

AI Labs Studio is one product made of four working parts. Each one is real and shipping.

01 ·Lab Builder Chat

The generator. Plain-English prompt → full lab.

Tell the Studio the topic, the role you're targeting, or the scenario you want to practice. In about five minutes it writes a structured lab — 10 to 20 lessons each with working code, curated video, and exercises calibrated to your current skill level. You watch it build live.

  • Plain-English prompt, no menus
  • Skill-calibrated depth — easier or harder based on your profile
  • Live progress stream so you see it build, lesson by lesson
02 ·AI-Generated Labs

The output. Real code you can ship, not snippets.

Every Studio-generated lab is a self-contained, runnable artifact. Working Terraform, Helm charts, Python, YAML — tested against live cloud APIs. The same code you'd write in production work, scaffolded for learning.

  • Production-grade code — no toy examples
  • Validated against real cloud APIs, not stale docs
  • Step-by-step structure with prerequisite chains so you build correctly
03 ·Cloud SandboxBeta

Real AWS. Isolated. Zero setup.

Run any generated lab inside a managed AWS sandbox — pre-configured, isolated per session, with credentials handled for you. You write production cloud code in a real environment without touching your own account.

  • Real AWS, not a simulator
  • Pre-configured roles, IAM, and credentials — zero setup time
  • Validation hooks check that your work actually deployed correctly
04 ·Learning Paths

Pre-built sequences for cloud certs and topics.

For when you'd rather not start from a blank prompt: expert-curated, hand-edited paths through specific certifications (AWS SAA-C03, Azure AZ-104, CKA, GCP ACE) and topic areas (system design, gen-AI, DevOps). Each path is a sequence of labs you can pick up and put down.

  • Mapped to real exam objectives — not generic content
  • Mix of generated and hand-edited labs by topic area
  • Pickup-and-put-down — your progress is saved
How the two pillars connect

Every lab you build feeds your skill profile.

The skills you complete in AI Labs Studio show up in Career Intelligence — your readiness score, ranked gaps, and target-role analysis all update as you ship work. Two systems, one profile.

See Pillar 02 · Career Intelligence
Common questions

About AI Labs Studio.

How long does Qube take to generate a lab?
About five minutes end-to-end. You watch it build live — Qube streams the lesson list, then writes each lesson with working code, video, and exercises. The full lab is ready to start in roughly six minutes for most topics.
What kind of code does Qube generate?
Production-grade Terraform, Helm charts, Python, YAML, and Bash — tested against real cloud APIs. No simplified toy examples. Everything you write in a lab can be lifted into your own work.
Can I run the labs against my own AWS account?
Yes. You can either run the lab inside our managed Cloud Sandbox (recommended — zero setup, isolated, pre-configured) or copy the code to your own cloud environment.
How is this different from a course?
Courses are pre-recorded and assume one audience level. AI Labs Studio generates a hands-on lab calibrated to your current skill profile — same topic, different starting depth depending on what you already know.

Describe what you want to learn. We'll build the lab.

Two labs free. No credit card. Lab ready in about five minutes.

Generate your first labSee pricing