TechEquity RAD · For Training Organisations
A Real Cloud.
For Every
Student.
Give each participant their own Google Cloud project,
provisioned for the course and switched off when its allowance runs out.
Learners do not become cloud engineers by watching one. They become cloud engineers by deploying something real, breaking it, and fixing it. RAD gives every participant a genuine Google Cloud project with a genuine deployment in it — provisioned by the trainer in a single action, bounded by a credit allowance, and isolated from every other student and from your own estate.
Up to 100 per session by default 190+ Applications Isolated per student Allowance-bounded
24h
Longest environment per session
1
Project per student
$20
Budget alert per lab project
8
Geographies available
A simulator teaches the interface. A real project teaches the consequences.
The Lab Problem
Every Cloud Course
Solves the Same Problem Badly.
Practical cloud training needs a real environment per learner. Every way of providing one has a well-known failure mode, and most training organisations have been forced to pick which one they can live with.
Simulators
Safe, and unconvincing. A scripted walkthrough teaches the console layout. It cannot teach a failed deployment, a quota refusal or an IAM error — which is where the actual learning is.
Shared sandbox
One account, thirty learners. Cheap to set up, and the first person to misname a resource breaks the exercise for everyone. Nobody experiences owning an environment.
Learner's own account
Real, and a support burden. Card details, free-tier limits, thirty different starting states, and an unbounded bill if someone leaves a cluster running after the course ends.
Manually built labs
Correct, and unaffordable at scale. An instructor hand-building thirty projects spends the day before every cohort on provisioning, and the week after on cleanup.
The unspoken constraint is cleanup. Provisioning thirty environments is a morning's work you can plan for. Making sure all thirty are gone — and are not still accruing charges six weeks later — is the task that quietly decides whether practical labs are economic at all.
What the market is asking for
$85B
Projected IT training market,
from roughly $50B today
$2.8B
Projected virtual IT lab market,
from $1.39B
>90%
Of organisations expecting
IT skills shortages

Demand is not the constraint

Employers report skills shortages at a scale measured in trillions of dollars of unmet output. The limit on training volume is rarely appetite — it is the cost and effort of giving each learner somewhere real to practise.

Hands-on is the differentiator

Video-and-quiz training is commoditised and priced accordingly. A course that puts a real, owned cloud project in front of every participant is a materially different product, and can be priced as one.

Market figures are industry analyst estimates for 2025–2030 and are indicative rather than contractual.
Lab Sessions
One Action by the Trainer.
Thirty Real Environments.
A trainer creates a lab session under Solutions → Managed Environments → Lab sessions. Choosing an application and provisioning the session builds one deployment per participant — each in a lab project of its own, made and managed by the trainer, and invisible to everybody else.
Step 01
Create the session
Participant emails, a region, a duration (15 minutes to 24 hours) and credits per participant. Anyone without a RAD account is invited to sign up.
Step 02
Choose the exercise
Any catalogue application, or a multi-module solution as a capstone.
Step 03
Provision the session
One deployment per participant, into a lab-tier project of their own. Anyone not yet signed up is held back, shown as waiting.
Step 04
Teach
Start the clocks; the trainer sees every environment and its status in one list.
What makes a lab project a lab project
  • Its own isolation boundary. Lab projects live in a dedicated folder with their own policy set, so a classroom never inherits — or affects — a customer environment.
  • A $20 budget alert per project. A budget notifies; what actually stops spend is the allowance — RAD switches an environment's billing off when its credits, plus the trainer's overrun ceiling (20% by default), run out.
  • The participant works in it. At Start each participant gets viewer-style access to their own project in the Google Cloud console, removed when the session ends. They cannot deploy, update or delete, and never see the deployment's secrets.
  • The trainer runs it. Every lab deployment is made and managed by the trainer, for support and assessment — and nothing beyond the session.
  • Region is a teaching choice. Chosen per session from eight geographies including Africa, the Middle East, South America and Australia, so latency and residency can be part of the lesson.

Nothing outlives the session

An environment whose time or credits run out has its billing switched off and its lab project deleted straight away, and participants' console access is removed when the session ends. There is no standing permission to review or revoke at the end of term.

Practical note

A large session is provisioned in batches rather than in a single burst, so plan to start provisioning shortly before the session rather than at the moment the class begins.

What a participant can actually deploy
PostgreSQL Redis Elasticsearch Keycloak Gitea Ghost n8n Matomo Directus Ollama OpenWebUI Uptime Kuma Outline Appsmith + 181 more
Capstones come free with the catalogue. 62 pre-composed solutions deploy several modules as one wave-ordered unit with real service-to-service wiring — a far better final exercise than another single-container deployment, and no extra course material to author.
Curriculum Fit
A Lab That Matches
What Employers Are Hiring For.
The catalogue is not a set of teaching exercises — it is the same production module catalogue that consultancies and enterprises deploy from. A learner who deploys from it has used the tooling their next employer uses, on the infrastructure their next employer runs.

Foundations

Projects, IAM, regions, billing and quota. A learner meets a real org policy refusal and learns why it exists — an experience no simulator reproduces.

Application deployment

Cloud Run and GKE variants of the same application, deployed side by side, make the serverless-versus-Kubernetes trade-off concrete rather than theoretical.

Systems thinking

A multi-module solution shows dependency ordering, service wiring and teardown sequencing — the parts of cloud architecture that only appear at system scale.

Operating a session
Before the course
  • Paste the participant emails from your enrolment list
  • Fund every place from your purchased credits, or have participants buy their own place — fixed when the session is created
  • Dry-run the exercise once as a trainer to confirm timings
  • Running the course again? Duplicate a past session — settings, participants and exercise come with it
After the course
  • Expired environments are deleted automatically; the trainer can end any early
  • The allowance and overrun ceiling bound the exposure of anything left running
  • Credits participants did not use return to the trainer at settlement
  • Export CSV for each participant's status, times, deployments and credits used
What it costs per participant
ItemWhat it coversCreditsUSD
Signup awardFree credits for every new account — they cannot pay for a lab place+300+$30.00
Monthly awardGranted every month thereafter+100+$10.00
Project admissionPurchased-credit floor for a lab-tier project50$5.00
Build timeMetered per hour of real build — the average build is ~19 min, about 2 credits6/hr$0.60/hr
Module feeCurrently waived for lab sessions, as are project and shared-services fees0$0
A seat costs what its deployments cost: with lab fees currently waived, that is a few credits of build time for each deployment the syllabus asks for, plus any Google Cloud spend within the allowance you set. The session shows the cost per participant and in total before anything starts. For context, a widely used vendor self-study subscription is priced at around $29 per month and includes no project of the learner's own.
Commercials & Partnership
Priced Per Seat You Actually Teach,
Not Per Seat You Might.
There is no platform licence and no minimum cohort. A training organisation pays for the deployments its learners actually make, at ten credits to the dollar, with a volume discount as throughput grows.
PlanPer monthCreditsEffective rateSaving
Pay as you go——$0.1000—
Pro$75825$0.09099.1%
Business$2502,875$0.087013.0%
Scale$6007,500$0.080020.0%
A plan is a discount on the credit rate, not a ceiling — cohorts larger than the included allowance are funded by topping up, and a provider teaching several hundred seats a month would normally sit on Scale and top up against it. Ask us for a volume rate above 10,000 credits a month.

Credits do not expire

Purchased credits carry across terms. Buy against an annual training budget and spend them cohort by cohort, without a use-it-or-lose-it deadline that forces artificial scheduling.

Paid in your students' currencies

Card payment through Stripe, and card plus mobile money through Flutterwave — which matters where card penetration is low and a training programme would otherwise be blocked at the payment step rather than the skills step.

Two ways to work with us commercially
Platform customer
  • You run the courses; RAD provides the lab environments
  • Fund places centrally from purchased credits, or let learners buy their own place
  • No revenue share, no exclusivity, no minimum
Referral partner
  • 15% commission on module fees your referred accounts pay with purchased credits — lab sessions earn none
  • Graduates who continue using RAD professionally remain attributed to you while you hold the Agent role
  • Publish your own teaching modules and earn 25% of what they generate
Run one cohort before committing to anything. Fund a small pilot session from your own purchased credits, with no plan and no contract, and teach it end to end before any invoice exists. Participants' free signup credits are theirs to explore with; a lab place is always paid from purchased credits.
02
Design the syllabus with us
Map your existing curriculum onto catalogue exercises and a solution-based capstone.
Book a session →
03
Try it yourself first
Create an account, take the 300 credits, and deploy the exercise you would set.
radmodules.dev →