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AI Labs

Education Host AI Labs · powered by Cloud Pulse

AI agent labs for education, including OpenClaw

Give students hands-on AI-agent environments without asking them to install and configure everything on personal laptops. Education Host can provide your institution with its own Cloud Pulse installation, set up for OpenClaw and other AI-agent labs, modules and student projects.

  • Your own Cloud Pulse installation, set up for your courses
  • Separate lab environments for each student or group
  • Lecturers manage templates, cohorts and the environment lifecycle
  • Runs in the browser, so students skip local setup

OpenClaw supported as one available AI-agent environment

Built by Education Host for universities, colleges and training providers, as part of the Education Host digital campus.

Cloud Pulse installation with separate OpenClaw and AI-agent workspaces — illustrative

  • AI-agent workspaces
  • Browser-based access
  • Reusable templates
  • Group & cohort labs
  • Central lecturer view
  • Separate environments
Overview

Students need real experience with AI agents, not just chat

Computing modules increasingly expect students to work with AI agents, tool use, APIs and automation. Delivering that on personal laptops and locked-down campus machines is where teaching time gets lost.

Agents, tools and workflows

Working with agents means running processes, connecting APIs and tools, and building workflows. Students need a stable place to do that, week to week.

Local installs slow teaching down

Devices differ and managed computers are often locked down. Setup and dependency problems eat into time meant for the subject.

One consistent environment

A hosted lab gives every student the same starting point in the browser, ready for the session on any device.

Platform

A dedicated AI lab platform for your institution

Universities can receive their own Cloud Pulse installation, set up with your users, templates, limits and branding. Lecturers manage labs centrally, and students only see the environments assigned to them.

Platform and deployment

  • Your own Cloud Pulse installation
  • Reusable lab templates
  • Individual and group environments
  • Dedicated or private infrastructure options, subject to the deployment

Identity and access

  • Institutional SSO, including Microsoft Entra ID, where required
  • Staff-assigned access to environments
  • Students see only the labs assigned to them

Teaching delivery

  • OpenClaw and other AI-agent lab templates
  • Start, reset and remove environments
  • Scheduled availability and resource limits, where required
  • Usage visibility for running labs
  • Persistent storage, where a module needs it

Infrastructure and support

  • UK-based managed infrastructure
  • Onboarding and lecturer training
  • Technical support from Education Host
  • Scoped and configured with your team
Control and identity

Controlled environments for teaching agentic AI

AI agents do more than answer questions. To learn how they work, students give agents access to models, tools and data so they can take actions and complete tasks. That makes for valuable practical teaching, and it is also why many institutions prefer the environment to be managed centrally rather than assembled on personal devices.

What a student's agent might work with

  • Language models
  • Tools and commands
  • APIs and services
  • Applications
  • Files and data
  • Operating-system resources
  • External services

Where your teaching team keeps control

  • Separate environments for each student or group
  • Reusable templates, so every lab starts from the same point
  • A controlled lifecycle: start, reset and remove environments
  • Resource limits, where required
  • Scheduled availability, where configured
  • Restricted connectivity, where configured, using private lab networks
  • Credentials for tools and APIs provisioned per environment, where required
  • Institutional sign-in (SSO), including Microsoft Entra ID, where required
  • Staff-assigned access, so students use only the labs they are given
  • Usage visibility for running environments

This does not make an environment risk-free, and Education Host does not present it as such. It gives teaching teams practical control over what an agent can reach and how each lab is run.

Teaching workflow

How an AI lab fits into a module

A typical delivery looks like this. The exact steps are configured around how your institution teaches.

  1. 1

    We set up your platform

    Education Host configures your Cloud Pulse installation with your users, templates and settings.

  2. 2

    A lecturer prepares a template

    The lecturer selects or builds an OpenClaw lab template for the module or workshop.

  3. 3

    Labs are assigned

    Environments go to individual students or project groups for the teaching period.

  4. 4

    Students work in the browser

    Students open their assigned lab and get straight to the task, with no local installs.

  5. 5

    Staff monitor and reset

    Lecturers see running labs, help in session and reset environments as needed.

  6. 6

    Labs are reused or removed

    Keep, reset or remove labs at the end, and reuse the template next time.

Example workshop

Evaluating an AI agent against a controlled test API

One way a computing team could turn AI Labs into a practical session. Tasks, tools and marking are designed by your teaching team; this is an illustrative outline, not automated assessment or monitoring.

  1. 1

    Prepare the template

    A lecturer builds a reusable OpenClaw lab template with a sample dataset and a controlled test API, then saves it to the template library.

  2. 2

    Assign environments

    Each student or project group receives their own environment from that template at the start of the session.

  3. 3

    Configure an agent

    Students set up an agent to use the test API and a small set of tools to complete a defined task.

  4. 4

    Test and probe

    They examine tool use, prompt behaviour, failure modes and where the agent oversteps or mishandles input.

  5. 5

    Control availability

    The lecturer keeps the labs available for the session and resets them cleanly for the next group.

  6. 6

    Submit and close down

    Students submit their configuration and a short evaluation. Environments are reset, shelved or removed afterwards.

Students learn to

  • Configure an AI agent
  • Connect tools and APIs deliberately
  • Evaluate failure modes and edge cases
  • Test permissions and boundaries
  • Document responsible use
Other example labs

Lab environments built around what you teach

Environments are tailored to the module and the tools being taught. A few examples Education Host can preconfigure:

OpenClaw agent development

Build, run and test AI agents in a preconfigured OpenClaw workspace.

Automation and tool use

Connect APIs and tools and build agent workflows end to end.

Private LLM experimentation

Work with local or private models without personal cloud accounts.

Group AI projects

Shared environments for project groups and collaborative builds.

Prompt and evaluation

Run prompt design and evaluation exercises across a cohort.

AI application builds

Develop applications on top of agents and models, from prototype to demo.

Who it's for

A reason to care for every stakeholder

Education Host AI Labs are managed teaching labs for departments and cohorts, not consumer VPS plans handed to individual students. Here is what each team gets from them.

Lecturers

  • Reusable templates and consistent starting environments
  • Less time lost to setup and troubleshooting
  • Individual and group work across a cohort
  • Resettable exercises you can run again next year

Technical and IT teams

  • Dedicated deployment options and managed infrastructure
  • Identity integration and staff-assigned access
  • Consistent configuration and a clear environment lifecycle
  • Defined support boundaries with Education Host

Departments and decision-makers

  • Start with a pilot and roll out in phases
  • Repeatable delivery across modules
  • Central ownership with Education Host support
  • Room to expand to more modules where it works
Part of the digital campus

Works alongside Education Host's other platforms

AI Labs are delivered on Cloud Pulse and sit within the wider Education Host platform: the same teaching-lab platform, student hosting and managed infrastructure universities already use, from one education-focused partner.

OpenClaw labs & Education Host AI Labs — frequently asked questions

Answers to common questions about OpenClaw labs, AI-agent lab environments and dedicated Cloud Pulse installations for education.

What is Education Host AI Labs?

Education Host AI Labs is a service, powered by Cloud Pulse, that gives universities, colleges and training providers AI and AI-agent lab environments for teaching. It provides separate student workspaces, reusable templates, lecturer controls and browser-based access, configured around your courses. OpenClaw is one of the AI-agent environments it can support.

Is OpenClaw the entire service?

No. Education Host AI Labs and Cloud Pulse are the service. OpenClaw is one supported AI-agent lab environment within it. AI Labs can also support other AI frameworks and tools, and further AI-agent platforms in future, subject to your requirements.

Is OpenClaw developed by Education Host?

No. OpenClaw is a third-party open-source technology. It is not owned, developed, endorsed or certified by Education Host, and there is no official partnership. Education Host provides and supports the surrounding lab platform.

Do students need to install OpenClaw themselves?

No. Environments are prepared for students and accessed through a web browser, so they do not install or configure OpenClaw on their own machines. Staff provision and assign the labs students use.

Can each student receive a separate environment?

Yes. Labs can be provisioned as a separate environment per student, and students only see the environments assigned to them. Group environments are also available for project and collaborative work.

Can labs support group work?

Yes. Shared group environments can be assigned to project groups, hackathon teams and collaborative sessions, alongside individual student environments.

Can universities use their existing identity provider?

Institutional single sign-on can be configured, including Microsoft Entra ID, where required, so students and staff sign in with their existing login. Exact identity integration is agreed during scoping.

Can access or connectivity be restricted?

Depending on the deployment, connectivity can be restricted using private lab networks, and access is staff-assigned. Controls are configured to the module rather than fixed, and no environment is presented as completely secure.

Is this a shared public hosting service or a dedicated deployment?

It is delivered as a managed teaching platform, with dedicated installation and private or dedicated infrastructure options subject to the deployment. It is not a shared consumer VPS product sold to individual students.

Can the service start with one module or a pilot?

Yes. Education Host can start with a pilot: a defined group of students, a small number of lab templates and a fixed teaching period, then review how it could scale across further modules.

What other AI-agent environments could be supported?

OpenClaw is the featured environment, and AI Labs can support additional AI frameworks, tools and AI-agent environments alongside or instead of it, depending on institutional requirements and what a module needs to teach.

OpenClaw is a supported third-party open-source technology. It is not owned, developed, endorsed or certified by Education Host. Education Host AI Labs and Cloud Pulse are services provided by Education Host, and product names and trademarks belong to their respective owners.

Pilot

Discuss an AI Labs pilot

Start with a defined group of students, a small number of lab templates and a fixed teaching period. In a consultation, Education Host can help you scope module requirements, student numbers, environment design, expected concurrency, identity requirements, deployment model and pilot scope.