Virtual Labs, Cloud Sandboxes and GPU Labs

Custom Hands-On Labs for Corporate Training

Cloud sandboxes, virtual training labs and GPU labs for L&D teams, training providers and certification programs. Built to your curriculum, so your learners start the exercise instead of fighting environment setup.

Book a discovery callBrowse the labs
Hands-on lab catalog

Hands-on labs for AI, data and cloud training

Pick a lab and tell us your class size. We build it, deliver it and remove it afterwards at a fixed price. Need labs built for your own course or product? See virtual training labs and AI and GPU labs.

3 labs shown

All labs

What you get

Hassle-free training delivery, from lab setup to cleanup

Your trainers and learners focus on the course, not on broken environments. We configure, test and clean up the labs so delivery day is about teaching.

Preconfigured labs for every learner

Each student gets a ready-to-use lab before the session starts. No installs, no access requests, no losing the first hour to setup.

Focus on delivery, not troubleshooting

We test the lab end to end before your cohort arrives, so your instructors teach instead of debugging environments.

Fixed price, no surprises

You get a consistent, fixed price agreed up front. Cleanup and shutdown are built into every lab, so there is no surprise cloud bill after delivery.

Privacy aware, deleted after delivery

Learner data and lab environments are deleted once delivery is complete. Each learner works in an isolated, scoped sandbox.

Capability matrix

What you get in each lane

CapabilityCloud TrainingAI & GPU
IAM / RBAC scoping per learner
Terraform-managed lifecycle
Multi-tenant on a single cloud account
Neo-cloud GPU integration
Pre-loaded sample data + narrative
Optional
Optional
One-click reset between sessions
Cost guardrails + auto-shutdown
Instructor walkthrough + student handout
Why Lab Engineering

Custom training labs vs. lab platforms like Skillable and Instruqt

Skillable, Instruqt, and Strigo sell platforms. We engineer the labs your stack actually needs and hand them off, so your team owns them.

We've built this in production, not in a deck

These labs run in real training programs. We test each one end to end before your cohort arrives.

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.

Case studies

Corporate training lab case study

Anonymized when client confidentiality requires.

Cloud Training

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.

Buyer

Corporate L&D team onboarding engineers to AWS

Read case study
FAQ

Common questions

Is the price fixed, or can the cloud bill surprise us?+
Fixed. We agree a consistent price up front for the lab and its delivery. Auto-shutdown and cleanup are built into the lab, so there are no surprise charges after your cohort finishes.
What happens to learner data after training?+
It is deleted. Each learner works in an isolated, scoped sandbox, and once delivery is complete the lab environments and learner data are removed.
Do our trainers have to troubleshoot the lab environment?+
No. Every learner gets a preconfigured lab that we test before the session, so your instructors can focus on delivering the course.
How is this different from Skillable, Instruqt, CloudLabs, or Strigo?+
Those are SaaS lab platforms, you rent infrastructure and content slots. Lab Engineering is custom-built infrastructure your team owns and re-runs. We use Terraform you keep, IAM policies tailored to your stack, and (for AI workloads) neo-cloud GPUs that platform incumbents don't natively support. Buy a platform when you need 100 off-the-shelf labs; hire us when you need labs that match your actual product or training program.
Can you deliver the training too, or just build the lab?+
Both. We design and ship the lab, and you can either run it yourself with the instructor walkthrough we hand off, or use our trainer network for delivery. Most engagements hand off the lab so the customer's team owns repeat delivery.
What's a typical timeline?+
A single day from scoping to a preconfigured, ready-to-deliver lab, for single-cohort training labs and for AI and GPU programs alike.
Do you do small projects or just enterprise?+
Both. We take small scoped labs as well as full multi-cohort training programs with custom IAM scoping. Book a discovery call and we'll scope what makes sense for your team.
Why neo-cloud GPUs instead of AWS / Azure / GCP?+
Cost. Neo-cloud GPU providers typically price H100s well below the hyperscalers, and for cohort training where each student needs an hour of GPU time, that difference adds up. We will quote you the actual numbers for your cohort. We use hyperscalers when your IT team requires it for security or compliance, neo-cloud is the default when economics drive the decision.
Discovery call

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 or use a SaaS platform, whichever actually fits.

Pick a time directly

Grab a 30-min slot on our calendar. Come with rough scope, and we’ll work it into a concrete lab plan during the call.

  • 30-min scoping call
  • Honest read on whether to build or buy
  • Indicative timeline + pricing range by the end
Book a 30-min discovery call

Or send us details

Tell us about your stack and we’ll get back within one business day.

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