Custom Cloud Labs
Demo environments, POCs, and training labs — designed for your cloud and AI stack. Stop spending hours on environment setup.
Three lanes, one engineering practice
Same underlying skill — IAM scoping, Terraform lifecycle, sandbox isolation — applied to three buyer profiles.
Cloud Training Labs
Multi-tenant student sandboxes for AWS, Azure, and Databricks cohorts.
We design and ship IAM-scoped sandboxes that survive 30 simultaneous students hitting the same AWS account. Terraform-managed, region-locked, idempotent — the policy is the contract that prevents one student from touching another.
L&D leaders, training providers, certification programs
- Custom IAM policies scoped per learner
- Terraform modules to spin up + tear down per cohort
- Instructor walkthrough + student handout, ready to deliver
- Cleanup tooling so the bill stays predictable
AI & GPU Labs
H100 / A100 + JupyterLab for AI training cohorts at neo-cloud prices.
Most lab platforms can't give 30 students each their own H100. We wire neo-cloud GPUs (Lambda Labs, Shadeform, RunPod) into cohort lifecycles, pre-baked with PyTorch / vLLM / Ollama / CUDA — 30–70% cheaper than hyperscaler GPU pricing and provisioned in under a minute per learner.
AI training programs, fine-tuning workshops, vendor partner enablement
- Per-learner GPU provisioning across neo-cloud providers
- JupyterLab / VS Code Server with notebooks pre-loaded
- Cost dashboards so finance sees what cohort #2 will run you
- Auto-shutdown so a forgotten H100 doesn't burn the budget
Sales Demo Environments
Disposable, polished demo accounts your SEs spin up in five minutes.
Your Sales Engineers shouldn't be hand-building cloud accounts the night before a customer call. We build reusable demo environments — pre-loaded with the right data, the right narrative, and the right tear-down — so every SE can stand up the same demo in five minutes and break it without consequence.
VPs of Sales Engineering, Partner Programs, Pre-Sales leadership
- Reproducible demo environments per product / persona
- Sample data + narrative scripts SEs walk through
- One-click reset between demos so state never leaks
- Optional: gated public POC links for prospect self-serve
What you get in each lane
| Capability | Cloud Training | AI & GPU | Sales Demos |
|---|---|---|---|
| IAM / RBAC scoping per learner | |||
| Terraform-managed lifecycle | |||
| Multi-tenant on a single cloud account | |||
| Neo-cloud GPU integration | On request | ||
| Pre-loaded sample data + narrative | Optional | Optional | |
| One-click reset between sessions | |||
| Cost guardrails + auto-shutdown | |||
| Instructor walkthrough + student handout |
Different from a lab platform — on purpose
Skillable, Instruqt, and Strigo sell platforms. We engineer the labs your stack actually needs and hand them off — your team owns them.
We've built this in production, not in a deck
The IAM policies, Terraform modules, and PySpark ETL behind these labs are open-source on GitHub. You can read the code before signing anything.
Vendor-neutral across cloud and neo-cloud
AWS, Azure, GCP, Databricks, Lambda Labs, Shadeform, RunPod. We pick what makes economic sense for your cohort, not what makes our partner directory listing happy.
Built once, owned by you
Every engagement hands off Terraform, policies, and runbooks your team owns and re-runs. We're not a SaaS — there's no platform lock-in to walk away from.
Scales from 5 students to 500
Same architecture handles a private 5-person workshop or a 500-seat partner enablement program. Cleanup is the same regardless of cohort size.
The work behind the pitch
Open source where possible. Anonymized when client confidentiality requires.
AWS Data Lake — student sandbox for 30 simultaneous learners
Per-student IAM scoping on a single AWS account, with Glue ETL and Athena queries that survive cohort-scale concurrency.
Fortune 500 corporate L&D team onboarding engineers to AWS
Read case studyDatabricks Text-to-SQL Agent — workshop lab on a shared workspace
Per-cohort Databricks workspace with Unity Catalog scoping, db-agent installed, ready for a 2-hour text-to-SQL workshop.
Databricks training cohort + private corporate workshops
30× H100 cohort — JupyterLab on neo-cloud for an AI fine-tuning workshop
Per-student H100 instance with JupyterLab and pre-loaded notebooks, provisioned across Lambda Labs and Shadeform for cost optimization.
AI training programs, vendor partner enablement, fine-tuning workshops
More case studies in progress. Open-source companion code at github.com/becloudready/quick-labs.
Common questions
How is this different from Skillable, Instruqt, or Strigo?+
Can you deliver the training too, or just build the lab?+
What's a typical timeline?+
Do you do small projects or just enterprise?+
Why neo-cloud GPUs instead of AWS / Azure / GCP?+
Can the open-source code on GitHub be used directly?+
Tell us what your team needs to learn or demo
30-minute call to scope the lab. We’ll tell you whether to hire us, fork the open-source repo, or use a SaaS platform — whichever actually fits.
Pick a time directly
Grab a 30-min slot on our calendar. Come with rough scope — we’ll work it into a concrete lab plan during the call.
- 30-min scoping call
- Honest read on whether to build, fork, or buy
- Indicative timeline + pricing range by the end
Or send us details
Tell us about your stack and we’ll get back within one business day.