Step 01 / 07
Define Requirements
Describe the outcome in plain language: a 3-day workshop, 4 hours a day, on a specific technical topic, for a specific audience. No forms, templates, or internal terminology.
CloudLabs Cosmos AI
Build Hands-On Labs in Minutes
Describe the lab you need in plain English and get a complete, CloudLabs-ready package to review, refine, and publish while you are still in the room. Up to 10x faster than the queue, with authors in control of every generated artifact and every package scoped to your delivery format, instructors, and cost.
Talk to UsFree for CloudLabs customers and partners. No new contract, no new platform.
- Runs on CloudLabs infrastructure
- Inherits every CloudLabs security and compliance control
- AI credits included at no cost today
- Your team stays in the decision seat
Who we are
We run the hands-on cloud environments behind the world's largest training events
More about CloudLabsYears of industry expertise
10+
50K+
Events supported across every major cloud
- Microsoft
- IBM
- MIT
- Accenture
- Databricks
- Columbia University
- Capgemini
- Palo Alto Networks
- Infosys
- University of Washington
- Datadog
- Kyndryl
- Check Point
- Deakin University
- Red Hat
- Cognizant
- Seneca Polytechnic
The industry standard
Where event programs slow down
Between deciding what the event should be and a learner clicking into it, most providers run a chain of handoffs, and each link waits for the one before it. Cosmos removes the wait at every link.
Book a demo-
Work begins as you type
You ask: A requirement email lands with pre-sales. Topic, dates, seat count. Then you wait for a position in someone's queue.
With Cosmos: You describe the same requirement in plain language, and work on it begins the moment you finish typing.
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Cosmos matches the catalog
They check: A technical team searches for an existing lab, then scopes what a new one would take. Days pass before anything comes back.
With Cosmos: Your requirement is instantly matched against the live CloudLabs catalog. If nothing fits, Cosmos drafts what a new lab would cover in the same session.
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Structure and cost arrive together
Plans emerge: A table of contents comes back, and a cost estimate covering cloud consumption, licenses, instructor time, support, and management follows in a separate round.
With Cosmos: Structure and cost arrive together, so you can refine the new build while the cost is still movable.
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You walk in approval-ready
You wait: Sign-off, purchase order, handoff to the services team. Only now does building start.
With Cosmos: You walk into approval with the plan, format, and cost picture already settled internally.
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The build starts from a draft
They are still building: Lab guide, deck, instructor sourcing, environment, preview, then rounds of review before a date is set.
With Cosmos: The lab skeleton exists, delivery format is chosen, and instructor availability is confirmed through the CloudLabs instructor portal. The build starts from a draft, not a blank page.
Reuse or build
From Requirement to Ready
Path 01
Reuse from the catalog
Fastest route to a live event. A lab that has already been built, tested, and delivered. You take it as it is, which is exactly why it is ready now.
Path 02
Build something new
Full customization, end-to-end. Your topic, your depth, your scenarios, your environment. Longer than reuse, dramatically shorter than the way it used to work.
Cosmos will tell you which path you are on before you commit to either.
From request to plan
Inside Cosmos AI Workspace
Step 02 / 07
Find Existing Labs
Cosmos matches your requirements against the CloudLabs catalog first, surfacing proven labs that are already built and delivered. The fastest and most cost-effective path to a live event.
Step 03 / 07
Preview Lab Design
If nothing fits, Cosmos drafts the lab's structure, table of contents, technical shape, and core skeleton. Not just a description, but something you can review, challenge, and rebuild.
Step 04 / 07
Plan Delivery
Choose self-paced, instructor-led, or hackathon-based delivery, including formats built around real use cases. The format shapes the content, cost, and calendar.
Step 05 / 07
Select Instructors
For instructor-led delivery, Cosmos checks the CloudLabs instructor portal for availability, then shows instructors available in your region and language for you to choose from.
Step 06 / 07
Estimate Costs
See cloud consumption, licensing, instructor time, support, and management costs while the design is still flexible enough to influence the plan.
Step 07 / 07
Assess Constraints
Cosmos assesses the environment, dependencies, and licensing requirements while the design is being built, so technical limits become design inputs, not surprises weeks later.
By the time you talk to a human, you are not explaining a requirement. You are refining a plan you have already seen.
Integrations
Plugs into where your labs already live
CloudLabs Platform
Templates in, templates out
Connect a CloudLabs tenant to browse templates, sync lab metadata, and publish Builder output straight back as templates.
GitHub
Org-level app or personal connection
Install the GitHub App at the organization level or connect personally. Builder ingests your repositories at intake and pushes generated artifacts back on completion.
Builder
One configuration, every team
Organization-level configuration for how Builder behaves across every team using it.
Customize Cosmos AI
Cosmos adapts to how your organization already works
Most AI tools ask you to work their way. Cosmos runs on your models, your instructions, your repositories, and your governance rules, inside a workspace your organization controls.
Bring Your Models
Connect OpenAI, Anthropic, Azure AI, or any OpenAI-compatible model. Use CloudLabs credits or your organization's approved model.
Set Persistent Instructions
Configure persistent instructions, tool guidance, default models, and reasoning effort once. Your naming conventions, house style, and technical preferences carry across every session.
Set Workspace Limits
Control deliverable sliders, reference ingest, GitHub push file sizes, and inline artifact thresholds. Set the boundaries once for every team.
Manage Access
Control workspace branding, users and roles, user groups, storage visibility, and organizational governance from your workspace.
Track AI Costs
Monitor spend, tokens, chat turns, agent runs, and usage analytics. Give budget owners visibility into AI consumption.
Apply Everything Globally
Set models, boundaries, instructions, and conventions at the organization level. Every team works within the same standards from the start.
Testimonials
Stories shared by the teams we run labs for
“Our company has been working with CloudLabs for three years. The service allowed us to train our teams and partners over different products and cloud platforms, by provisioning timely labs with the smoothest student experience.”
10+ Years of industry expertise
Tal Ein-Habar
Cloud Security Expert, Check Point
Håkan Forsberg
Cloud Solution Architect, Microsoft
“CloudLabs has been our go-to platform for any hands-on lab experiences for customer and partner technical trainings. It eliminates the time and complexity of setting up labs and enables a smooth experience for all participants and trainers.”
“We are incredibly pleased with our experience using CloudLabs by Spektra Systems. Their responsiveness and support have been nothing short of outstanding. They demonstrated remarkable flexibility in accommodating our unique processes, resulting in a seamless and highly productive collaboration.”
50K+ Events supported across every major cloud
David Trinh
Academic Program Manager, Seneca Polytechnic
Book a demo
Bring a requirement. Leave with a draft.
A 30-minute session, on your topic. You describe the event the way you would in an email; we watch Cosmos match it against the catalog, shape the new build, and put structure and cost on the table together.
- 01
Your requirement, in plain language
Topic, format, dates, seat count. The same brief you'd send today.
- 02
Reuse or build, decided live
A catalog match if one exists; a drafted table of contents and cost picture if not.
- 03
Your models, your rules
See how the workspace runs on your approved models, instructions, and governance.
- 04
You keep the draft
Whatever Cosmos produces in the session is yours to take forward.
Cosmos AI Lab Builder
Book a session
Three fields. A CloudLabs specialist replies within one business day.