Enterprise cloud and AI labs
Live cloud labs in India for enterprise teams: 28 domains and 415 technologies across AWS, Azure, GCP and Kubernetes, validated as people work. Book a demo.
One request, a live environment.
Your team picks a lab. We provision the real cloud account behind it, validate the work as they go, and hand back a record of what they did.
Catalogue
Twenty-eight domains, 415 technologies.
A sample of where teams start. If your stack runs something that isn't here, it's a build, not a no.
One from each of 28 domains
VMware vSphere
NVIDIA CUDA
SAP S/4HANA
Claude
Qiskit
Cisco SD-WAN
NetApp ONTAP
Azure Virtual Desktop
Playwright
Built for impact
Turn learning investments into team capabilities.
FOR ENTERPRISE TEAMS
Give your engineers real cloud accounts, guided tasks that are checked as they work, and a record of what each person can actually do.
Onboarding that ends in competence
New hires start in a provisioned environment on day one and finish with evidence of what they can run — not a completion certificate.
Certification without the cram
Structured paths to AWS, Azure and GCP certification, with practice that happens in the console rather than in a question bank.
Skill gaps you can see
Dashboards that show where a team is strong, where it stalls, and which tasks are failing validation across the org.
Sandboxes that mirror production
Scenario environments built around your architecture, with guardrails and spend caps, so people can break things safely.
Learning model
Learn → Build → Grow
Questions
The ones we always get.
Everything you need to know about our labs, learning environments, and practical technology training.
Either. We provision in Cloud4Green-managed accounts by default, which is the fastest route to a first cohort. Where policy requires it, labs run in your own subscription or organisation under your controls.
They expire. Each environment has a lifetime set when the lab is built, and everything provisioned for it is destroyed at the end of that window — including anything a learner created inside it.
Three to five working days for a track assembled from the existing catalogue. Custom environments — your own images, datasets or reference architecture — take longer, and we'll say how much when we scope it.
Yes. Existing courseware, runbooks and internal architecture can be built into labs, so people practise on the way your organisation does it rather than a generic reference design.
Per learner and per cohort: tasks attempted, tasks validated, time in environment and spend. It exports, and it can be fed into the LMS you already run.
Scoped IAM, a spend cap and an expiry on every environment. An afternoon of training cannot turn into an incident or an invoice, and the limits are set per track rather than per request.
No slides. Real consoles.
Enterprise enablement
Tell us the roles. We'll send back a plan.
Share your goals with us. We’ll help you chart the right path forward.
Cloud4Green
Skills that ship.