Colleges
Engineering, management, commerce, arts and science colleges seeking practical AI project work.
AI training for schools, colleges and universities
Build practical AI understanding with defined safeguards
Hands-on programs where students and faculty build bounded AI projects, not just theory. On campus or online, with supervision, project evidence and a completion or participation certificate, depending on the programme.
Bounded learning projectsFaculty-supported deliverySupervised, with defined safeguards
Founder-led · build-first method · certificate of completion and handover.
Now accepting enquiries for our initial campus programs.
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Inside our campus programmes
Hands-on AI sessions where students and faculty build and test their own AI agents.
Who it’s for
Programs can be scoped for a single cohort, a faculty group, or a wider institutional rollout.
Universities
State, private and deemed universities planning faculty and student AI capability.
Schools and junior colleges
Classes 9–12 programs with teacher-present, age-appropriate supervised learning and defined safeguards.
Polytechnics, ITIs and skill institutes
Hands-on AI project learning connected to technical and employability pathways.
Coaching and upskilling institutes
Structured cohorts that add practical AI builds alongside existing learning programs.
Placement and training cells
Portfolio-building AI cohorts for final-year and pre-final-year students.
The programs
Every engagement is scoped around learner age, timetable, prerequisites, lab readiness and safe operating boundaries. Outcomes are supported targets, not guarantees, and depend on attendance and completion.
Campus AI Builder Workshop
- Who it’s for
- UG and PG students from any stream.
- Format and contact hours
- One, two or several days on campus, or two days online; approximately 6–18 contact hours.
- Prerequisites
- No coding requirement. Learners need basic digital literacy and access to the agreed device and tools.
- What they build
- In pairs, teams build one bounded learning prototype: a campus FAQ bot, study planner, placement-prep practice bot, sample event workflow or notes-to-quiz tool.
- Supported outcome
- A learning prototype per pair, project card, private demonstration where appropriate, and certificate of completion for participants who complete the agreed requirements.
- Group size
- Up to 40 students, or 20 pairs, plus two faculty co-facilitators.
Scoped in your proposal
AI Project Portfolio Cohort
- Who it’s for
- Final-year and pre-final-year students, including placement cohorts.
- Format and contact hours
- Four-week or six-to-eight-week blended program; approximately 16–32 live and lab contact hours.
- Prerequisites
- Basic digital literacy, reliable attendance and completion of the agreed introductory activity. No prior coding is assumed unless the institution requests a technical track.
- What they build
- Multiple escalating bounded projects, including a capstone presented privately to an agreed internal panel.
- Supported outcome
- A project portfolio, capstone evidence, an interview-ready narrative and certificate of completion for learners who meet the agreed completion requirements.
- Group size
- 30–40 learners per cohort.
Scoped in your proposal
Faculty AI Development Program + Train-the-Trainer
- Who it’s for
- Faculty across departments, lab instructors and training-and-placement staff.
- Format and contact hours
- Several-day FDP or extended FDP plus Train-the-Trainer; approximately 18–30 contact hours.
- Prerequisites
- Basic digital literacy, attendance across the program and an agreed teaching or administrative use case.
- What they build
- Each faculty member builds a bounded teaching or administration prototype and delivers a module under observation.
- Supported outcome
- Demonstrated facilitation practice under observation, relevant lab-kit materials for institution use under the agreed licence, and a certificate of completion. “Campus AI Facilitator” is StaffAble AI’s completion title, not a professional certification.
- Group size
- 15–25 faculty members.
Scoped in your proposal
AI-Ready Campus
- Who it’s for
- Institutions planning a semester or year-long capability program.
- Format and contact hours
- Leadership briefing, faculty development, student cohorts, Campus AI Club support, internal showcase and handover; contact hours are scoped by workstream.
- Prerequisites
- Named institutional sponsor, faculty coordinator, readiness review and documented approval of the agreed delivery scope.
- What they build
- Learning prototypes and, only where eligible, one or two institution-owned pilots with a named staff owner.
- Supported outcome
- A staged internal capability model, staff ownership, documented project boundaries and certificate of completion for eligible participants who meet the agreed requirements.
- Group size
- Scoped per institution.
Scoped in your proposal
School AI Foundations — classes 9–12
- Who it’s for
- School learners in classes 9–12 only. Younger classes are not covered.
- Format and contact hours
- Short on-campus sessions, approximately 3–9 contact hours, with a teacher or nominated staff member present throughout.
- Prerequisites
- Teachers complete the Faculty AI Development Program first. Minor-participant readiness, approvals and permissions must be complete before enrolment or account provisioning.
- What learners build
- Sandbox-only prototypes with synthetic or curated teaching materials. No real external channels, no live deployment and no personal student records.
- Supported outcome
- A classroom project and certificate of participation for learners who complete the agreed activity.
- Group size
- Scoped with the school according to supervision, tool eligibility and classroom readiness.
Scoped in your proposal
What students build
Bounded project briefs support learning to build, test, explain and recognise limits without claiming a live deployment.
Campus FAQ helpdesk bot
Answers from selected campus information.
Study-planner assistant
Creates a structured revision plan.
Interview-practice bot
Runs role-based practice questions.
Event workflow prototype
Organises a sample event workflow.
Notes-to-quiz generator
Turns approved notes into revision questions.
Department notice summariser
Summarises selected notice content.
Local-shop enquiry prototype
Uses synthetic enquiry data only.
Library FAQ assistant
Answers from selected library guidance.
Exam FAQ assistant
Explains approved process information.
Student project navigator
Guides a learner through milestones.
Projects use synthetic data or approved non-personal materials only. For schools, synthetic or curated teaching materials are the default.
Meet the agent students build
A small, safe AI agent — built and understood
Students design, build and test a bounded AI agent on synthetic data, with supervision — and can explain exactly what it does, and what it must not do.
Campus FAQ helperStudy plannerNotices assistant
Curriculum outline
Module selection varies by program, learner level, tool eligibility and available delivery time.
Student modules
- M1 — How AI works and fails: useful mental models, limitations and verification.
- M2 — Prompting that holds up: instructions, context, examples and iteration.
- M3 — Build your first agent: a bounded learning workflow.
- M4 — Testing, guardrails and safety: edge cases, review and safe boundaries.
- M5 — Explain it: project card, private demonstration and what learners can and cannot claim.
- M6 — Documents, data and retrieval: approved sources and traceability.
- M7 — Multi-step workflows: inputs, outputs and hand-offs.
- M8 — Capstone: build, test and explain a project.
- M9 — AI in the job market: honest context, not placement promises.
Faculty modules
- F1 — Instructor-depth foundations: concepts, limitations and demonstrations.
- F2 — Build your own teaching or admin prototype: a bounded faculty use case.
- F3 — Running a build lab: prompts, pacing, pair work and review.
- F4 — Policy, integrity and safeguarding: classroom boundaries, moderation and escalation.
- F5 — Observed delivery: Train-the-Trainer practice and feedback.
- F6 — Curriculum mapping: fitting practical AI work into your program.
Supported outcomes and a completion or participation certificate, depending on the programme
Completion depends on attendance and the agreed program requirements. Programs support learners to produce project evidence; they do not guarantee employment, academic credit or other outcomes.
Evidence of learning
Each learning prototype can be documented through a project card describing the problem, boundaries, inputs, testing and what the learner can explain.
Faculty handover
Eligible faculty receive the relevant lab kit and facilitation materials for institution use under the agreed licence. Observed delivery records demonstrated practice, not a blanket authorisation to teach or supervise all AI work.
Certificate of completion
Participants who meet the agreed requirements receive a StaffAble AI certificate of completion with a verifiable ID.
Certificate clarification: It recognises programme completion, not academic credit, a university qualification or external accreditation. “Campus AI Facilitator” is StaffAble AI’s completion title, not a professional certification.
Certificate verification and showcases: verification confirms completion to someone the participant shares the link with; it does not create a public, searchable profile. Showcases are internal by default. A private demonstration is the default, and retention for certificates, demonstrations, recordings and any showcase materials is agreed with the institution. Recordings and public showcases are off by default for minors and require separate, specific permission; a private alternative is always available.
No guarantee of placement, internship, job or salary — we teach demonstrable skills and support learners to produce evidence of them.
How it works
A readiness process helps institutions plan delivery without asking learners to use personal accounts or live data.
Discovery call
We understand learners, age bands, goals, timetable, delivery context and institutional boundaries.
Scoping and proposal
We document the proposed learning scope, delivery format, tools and responsibilities.
Readiness gate
Before enrolment or account provisioning, we confirm tool age limits, terms, approvals, permissions and suitable alternatives.
Delivery
Faculty co-facilitate hands-on sessions with learners under the agreed safeguarding and moderation plan.
Completion and handover
Project evidence, certificates of completion and agreed materials are handed over under agreed retention arrangements.
You provide a lab or laptops, internet, eligible accounts where applicable and a faculty coordinator; we send a full checklist. Optional continuation may include a Campus AI Club and remote clinics, subject to the agreed scope and safeguarding arrangements.
Age-appropriate, supervised learning with defined safeguards
Safeguards reduce risk; they do not eliminate it. We set boundaries for data, tools, accounts, supervision and responses to harmful content before delivery.
Under-18 readiness gate
For any participant under 18, including learners in schools and mixed-age college, ITI or coaching cohorts, we check each tool’s minimum age and terms for your jurisdiction before enrolment. Where a tool does not permit under-18 use, learners do not access it — we use teacher-operated demonstrations or suitable offline or alternative activities instead. No shared or adult-account workarounds.
Consent and institutional approval
Delivery for minors requires, before any access or processing: documented institutional approval, the applicable parent or guardian authorisation, and an agreed consent-verification process. Learners who cannot participate are given an alternative activity. Consent does not override a tool’s age limits or terms.
Data boundaries
Projects use synthetic data, or specifically approved non-personal, non-confidential materials the institution has the right to use. Institutional approval does not permit uploading personal student records or other restricted data. For schools, synthetic or curated teaching materials are the default.
Supervision and contact boundaries
A teacher or nominated staff member supervises every session. Before delivery we agree a named safeguarding contact, conduct rules for our trainers, no private one-to-one or private-chat contact with learners, moderation of any online sessions, and a clear stop-and-report path for harmful content or a disclosure. Our staff do not contact learners privately, during or outside sessions.
Harmful outputs and non-AI fallback
We use curated materials, restricted tools where appropriate and teacher review. If harmful, unsuitable or distressing content appears, the activity is stopped, reported through the agreed path and handled by the institution’s safeguarding process. A non-AI or offline alternative activity is available.
Program data flows
Projects use no personal data, but running a program does involve some processing — accounts, attendance, certificates, and any session recordings or showcases. We keep these to a minimum, name the tools used, and set retention and deletion with your institution.
Children’s data: India’s Digital Personal Data Protection Act 2023 sets specific requirements for processing children’s personal data, including verifiable parental consent. We design programs to avoid processing children’s personal data and confirm the applicable requirements with your institution before delivery. This is not legal advice.
Roles and responsibilities for each processing activity are documented in the agreement or data-processing terms. India uses the terms Data Fiduciary and Data Processor. We state our own responsibilities rather than placing all of them on the institution. Read how we handle data and our Privacy Policy.
Who delivers it
Founder-led by Neelabja Saha in Kolkata, using the same build-first method as our corporate workshops. A sample handover pack and project card are available on request.
Request a program proposal
- No student personal data is needed for the call
- We can discuss on-campus or online delivery
- For minor participants, eligibility, approvals and permissions are confirmed before enrolment or account provisioning
- We confirm safe scope and readiness before delivery
Frequently asked questions
Is the certificate recognised?
Participants who meet the agreed requirements receive a StaffAble AI certificate of completion with a verifiable ID. It recognises programme completion, not academic credit, a university qualification or external accreditation.
Do you guarantee placements?
No. We do not guarantee placement, internship, job or salary outcomes. We teach demonstrable skills and support learners to produce evidence of them.
Can non-CS students do this?
Yes. Programs can be designed for learners from any stream. The right starting point depends on their level, attendance, timetable, tool eligibility and project scope.
What do we need in our lab?
You provide laptops or a lab, reliable internet, eligible accounts where applicable and a faculty coordinator. We send a readiness checklist before delivery. For minors, tool eligibility is confirmed before enrolment or account provisioning.
Who owns the materials afterwards?
Your institution receives the agreed handover materials and licensed-for-institution-use lab kit. Third-party tools remain subject to their own terms and licences.
Is this a tool subscription in disguise?
No. This is a training and handover program. Any third-party tools used are selected during readiness, remain subject to their own terms and must be appropriate for the participant age and jurisdiction.
What about student data and minors?
Projects use synthetic data, or specifically approved non-personal, non-confidential materials the institution has the right to use. Institutional approval does not permit uploading personal student records or other restricted data. For under-18 participants, we check each tool’s minimum age and terms for the jurisdiction before enrolment. If a tool does not permit under-18 use, learners do not access it; we use teacher-operated demonstrations or suitable offline or alternative activities instead. No shared or adult-account workarounds. Delivery for minors requires documented institutional approval, applicable parent or guardian authorisation and an agreed consent-verification process before any access or processing. Learners who cannot participate receive an alternative activity.
Are recordings or showcases public?
No. Private demonstration is the default and showcases are internal by default. Certificate verification confirms completion only to someone the participant shares the link with; it does not create a public, searchable profile. Recordings and public showcases are off by default for minors, require separate specific permission, and always have a private alternative. Retention and deletion are agreed with the institution.