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
$20
Budget alert per lab project
A simulator teaches the interface. A real project teaches the consequences.
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.
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.
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.
- 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
- 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
| Item | What it covers | Credits | USD |
| Signup award | Free credits for every new account — they cannot pay for a lab place | +300 | +$30.00 |
| Monthly award | Granted every month thereafter | +100 | +$10.00 |
| Project admission | Purchased-credit floor for a lab-tier project | 50 | $5.00 |
| Build time | Metered per hour of real build — the average build is ~19 min, about 2 credits | 6/hr | $0.60/hr |
| Module fee | Currently waived for lab sessions, as are project and shared-services fees | 0 | $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.
| Plan | Per month | Credits | Effective rate | Saving |
| Pay as you go | — | — | $0.1000 | — |
| Pro | $75 | 825 | $0.0909 | 9.1% |
| Business | $250 | 2,875 | $0.0870 | 13.0% |
| Scale | $600 | 7,500 | $0.0800 | 20.0% |
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
- 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
- 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.
01
Pilot a cohort
We enable the trainer role on your account and walk your instructor through a first cohort.
sales@techequity.cloud →
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 →