Turn learning into something you can build, test, and prove.
Hands-on AI practice that turns learning into reviewable capability. Eligible Academy learners use guided workspaces to practise, complete assessed work, build projects, submit evidence, and receive human feedback.
Build in a workspace connected to the lesson.
Exercises, attempts, projects, submissions, evidence, and feedback remain tied to the learner’s permitted Academy context.
Chatoner AI Labs are Academy-owned practical workspaces where eligible learners practise with guided AI, data, automation, agent, code, app, and website environments; complete exercises and assessments; build real projects; submit evidence; and receive human feedback. Production access depends on verified Academy enrolment, programme, lesson, prerequisites, policy, and active entitlement.
My Academy Labs shows only what the learner may use.
The public capability is Chatoner AI Labs. The authenticated learner area is My Academy Labs, where production access remains controlled by enrolment, programme, cohort, lesson, prerequisites, policy, and active entitlement.
Programme- and lesson-aligned practice.
Approved lesson notes, instructions, exercises, attempts, time allowances, usage limits, submissions, results, and feedback stay connected to the correct learning context.
No universal unlock.
Demonstrations may show a broad catalogue, but production learners see only Labs permitted by verified eligibility and active entitlement.
Practise across AI, data, automation, agents, and code.
Each Lab is connected to an approved learning purpose, instructions, limits, evidence expectation, and human review route.
AI chat and context Labs
Practise prompting, context design, source use, verification, and responsible AI interaction.
Data and notebook Labs
Work with approved datasets, analysis, notebooks, evidence, and reviewable outputs.
Automation and workflow Labs
Build complete workflows with triggers, decisions, actions, approvals, monitoring, and recovery.
Agent-building Labs
Design bounded agents with approved tools, data, permissions, testing, escalation, and evidence.
Code, app, and website Labs
Build practical software and AI experiences with guided environments, tests, deployment practice, and project proof.
Assessment and capstone Labs
Complete exercises, assignments, practical tests, secure exams, capstones, projects, submissions, and human feedback.
Read, practise, submit, and improve in one governed path.
Evidence becomes useful through feedback.
Authorized educators review the work, sources, limitations, integrity, and practical value before final academic decisions are made.
Practice can progress into assessed, reviewable work.
Exercises and assignments
Guided practice, assignments, practical tests, and improvement attempts follow the lesson and defined criteria.
Secure assessment
Approved exams and proctored activities use appropriate identity, time, integrity, accessibility, escalation, evidence, and appeal controls.
Projects and proof
Capstones and real projects can retain versions, submissions, reviewer feedback, criteria, limitations, and proof-of-work evidence.
Every Lab action has a responsible role.
Learner
Uses only entitled Labs, approved notes, attempts, time and usage allowances, submissions, results, and feedback.
Instructor & Assessor
Guides practice, reviews evidence, applies criteria, records feedback, and retains authority over grades.
Exam Proctor
Supervises approved assessment conditions, records permitted evidence, and escalates integrity concerns for human review.
Academy Administrator
Controls programmes, eligibility, entitlements, usage policy, roles, retention, appeals, and audit.
Human authority remains final. AI can support learning and organize evidence, but it cannot issue credentials, finalize grades, decide disciplinary outcomes, or determine safeguarding cases.
Request, accept, pay, then schedule.
Where offered, a learner can request a paid practical session. An authorized instructor or mentor accepts the request, the commercial step is completed, and only then is the session scheduled in the approved learning context.
- 01Learner requests practical help
- 02Instructor or mentor accepts
- 03Price and scope are confirmed
- 04Payment is completed
- 05Session is scheduled
- 06Evidence and follow-up return to the Academy context
Class teaches live. Labs turns learning into practice and proof.
Live teaching, tutoring, participation, and assessment.
An entitled Academy session can carry approved lesson and learner context into Class. Independent Class use does not expose Academy-only records.
Explore Chatoner ClassGuided practice, assessed work, evidence, and feedback.
Only eligible Academy learners receive the correct Lab access. Class access by itself never grants this entitlement.
Learn live. Practise deeply. Prove what you can do.
- 01Choose a programme
- 02Learn live in Chatoner Class
- 03Practise in eligible Chatoner AI Labs
- 04Build a real project
- 05Receive human review
- 06Retain evidence
- 07Earn a proof-backed credential
- 08Apply and improve the capability in real work
Labs stays inside Academy governance.
Chatoner AI Academy owns
Programmes, cohorts, curricula, enrolments, learner billing, progress, project evidence, human review, credentials, Lab eligibility, entitlements, attempts, results, and academic context.
Chatoner Class owns
The native classroom runtime, admission, classroom roles, participation, approved live media, classroom activities, attendance capture, recording controls, and live safeguarding workflow.
People retain authority
AI may assist learning and organize evidence, but it does not issue credentials, finalize grades, decide discipline, or determine safeguarding outcomes.
Integrity, privacy, and safeguarding Lab access, approved notes, assessment evidence, retention, restricted cases, audit, cost controls, and appeals follow Academy policy and role-based authorization.
Answers before entering a practical workspace.
What are Chatoner AI Labs?
Chatoner AI Labs are Academy-owned practical workspaces where eligible learners practise with guided AI, data, automation, agent, code, app, and website environments; complete assessed work; submit evidence; and receive human feedback.
Who can access Chatoner AI Labs?
Access requires an active Chatoner AI Academy enrolment and the correct programme, cohort, lesson, prerequisites, policy, and entitlement. Production learners see only the Labs they are permitted to use.
Why is the learner area called My Academy Labs?
My Academy Labs is the authenticated learner area within Chatoner AI Academy. The name makes clear that Labs belong to the learner’s entitled Academy journey rather than forming a separate Chatoner platform.
How do Chatoner Class and Chatoner AI Labs work together?
An entitled Academy learner can learn live in Chatoner Class, then move into the permitted Lab for guided practice, assessed work, project evidence, and human feedback. Class access alone does not grant Lab access.
Are all Labs unlocked for every learner?
No. Demonstrations may show a broader catalogue, but production access remains controlled by verified enrolment, programme, cohort, lesson, prerequisites, usage policy, and active entitlement.
Who makes final grading, credential, integrity, and safeguarding decisions?
Authorized people do. AI may support learning and organize evidence, but instructors, assessors, proctors, Academy administrators, and safeguarding owners retain final authority according to their roles.
Choose an Academy programme before choosing a Lab.
My Academy Labs access follows verified enrolment and entitlement. A Class subscription does not unlock Labs.
