Rural AI Learning Labs · Government Schools
Learning today.
Leading tomorrow.
AI Sakhi brings a trusted companion for the AI age into rural government schools — starting with Class VII girls, then opening to youth and adults in the same village lab. Not a coding class. A life skill.
The Idea
More than a name — a companion for the AI age
“Sakhi” means a trusted friend. AI Sakhi is built on the belief that rural India should not just receive artificial intelligence — it should learn to question it, verify it, and use it on its own terms. It begins with Class VII girls, because confidence built early changes the shape of a life, then opens the same lab to youth building livelihoods and adults navigating daily life, sharing one timetable and one community of trust.
Every generation is shaped by the tools it learns to master. For our grandparents it was the plough. For our parents it was the machine. For us it was the computer. For today’s children, it will be Artificial Intelligence.
— Nexus3P FoundationOne Spine, Three Tracks
Built for every age in the village
School Track
Class VII, starting with girls
Youth Track
Ages 16–25
Adult Track
Lifelong learning
Explore the Programme
Six parts, one framework
Part One
Why AI Sakhi
The case for rural AI literacy, and why it starts with girls in Class VII.
Read morePart Two
Inside the Lab
A day in the life of an AI Sakhi school, the weekly rhythm, and the 24-week roadmap.
Read morePart Three
Learning from the World
What China, Finland, Sweden and Denmark teach us about scaling AI literacy.
Read morePart Four
Curriculum
One shared spine, three tracks — School, Youth, and Adult learning, side by side.
Read morePart Five
Our People
Locally recruited facilitators, and the trainer pipeline that grows with the lab.
Read morePart Six
Scaling the Model
From one proven lab to a district network — deliberately, one village at a time.
Read morePart One · Why AI Sakhi
Why rural India cannot afford to miss the AI revolution
The next divide may not be digital — it may be cognitive. AI Sakhi is Nexus3P Foundation’s answer: begin early, begin with trust, and begin with those most often asked to wait their turn.
A vision inspires. A mission directs. Principles sustain.
— Nexus3P FoundationMore Than a Name
What “Sakhi” means
A trusted friend and companion. AI Sakhi is designed to sit beside a learner, not in front of them — a companion for the AI age, never a substitute for a teacher or a parent.
Why Girls?
Confidence, built early
Rural India is rich in talent but unequal in opportunity. Beginning with girls puts confidence-building where it changes the shape of a life the most — and where it is too often missing.
Why Class VII?
Old enough, young enough
Class VII students can reason and question, but have not yet hardened into self-doubt about technology. It is the age where habits of curiosity are still being formed.
Vision
To build AI-enabled learning environments in rural government schools, where every student can use Artificial Intelligence responsibly, creatively, and with confidence — expanding educational opportunity and contributing something positive to society.
Mission
To empower rural girls through teacher-led, activity-based AI education that strengthens academic performance, communication, creativity, ethical awareness, and engagement with the wider community.
Eight Practical Objectives
What the pilot works toward
- Introduce foundational AI literacy
- Improve classroom learning
- Strengthen English communication
- Develop critical thinking
- Build digital confidence
- Grow teacher capacity
- Encourage parent participation
- Generate evidence for replication
Ten Guiding Principles
What guides every decision the programme makes
- 01Human-centred learning
- 02Equity of opportunity
- 03Learning by doing
- 04Safety and responsibility
- 05Teacher empowerment
- 06Community partnership
- 07Evidence-based improvement
- 08Scalability
- 09Inclusivity
- 10Purpose before technology
Theory of Change
From inputs to impact
Inputs
- Infrastructure
- Teachers
- Curriculum
- AI tools
- Community support
Activities
- Interactive learning
- Teacher training
- Projects
- Parent engagement
Outputs
- AI literacy
- Improved confidence
- Better communication
- Student portfolios
Outcomes
- Enhanced learning
- Responsible AI use
- Teacher adoption
- Community participation
Long-term impact: confident rural learners prepared to thrive and lead in an AI-enabled society.
The Nexus3P Perspective
Why we are not teaching AI programming
Coding is a valuable skill for some. Asking good questions, verifying an answer, and knowing when to trust a machine is a skill every person needs. AI Sakhi teaches the second — deliberately, before the first.
Part Two · Inside the Lab
A day in the life of an AI Sakhi school
Imagine it is six months later. A village school in rural Punjab has settled into a rhythm — and everything about the room, the timetable, and the people in it was built the same deliberate way.
Children rarely remember every lesson they are taught. They always remember the environment in which they learned.
— Nexus3P FoundationThe AI Sakhi DNA
What every AI Sakhi school carries
Not optional extras — these are the programme’s identity. Every AI Sakhi school shall:
- Have a designated AI Learning Lab
- Display the AI Sakhi Charter and AI Ethics Charter
- Hold at least two structured AI learning sessions each week
- Maintain an AI Learning Portfolio for every student
- Celebrate a monthly AI Sakhi Open House with parents
- Organise an annual Village Innovation Challenge
- Display student-created AI projects and community solutions
- Train at least two AI Teacher Champions
- Appoint AI Student Ambassadors from each cohort
- Maintain a Prompt Library built by students and teachers
- Track learning outcomes against defined indicators
- Demonstrate responsible, safe and ethical AI use in every activity
The Same Four Beats
Every session, in every AI Sakhi classroom
1
Opening Circle
- Share something tried
- Reconnect as a class
2
Guided Exploration
- Teacher introduces one idea
- Whole-class demonstration
3
Hands-on Practice
- Small-group exploration
- Real prompts, real questions
4
Reflection
- Portfolio entry
- One learning, one open question
Inspiration opens a door. Structure is what keeps it open long after the excitement of the first day has faded.
— Nexus3P FoundationProgramme Architecture
Roles and responsibilities
| Role | Core Responsibility |
|---|---|
| Principal | Chairs the School Committee; anchors AI Sakhi within the wider life of the school |
| AI Teacher Champion | Leads weekly sessions; mentors students; maintains the Prompt Library |
| Class Teacher | Reinforces AI skills within regular subject teaching |
| School AI Sakhi Committee | Reviews progress monthly; resolves local issues; plans events |
| Nexus3P Programme Coordinator | Supports training; monitors outcomes; liaises with the Foundation |
| Parent Representative | Voices community perspective; helps organise the Open House |
| Student Ambassador | Represents peers; helps orient new students each cohort |
Weekly
Teacher logs each session
Monthly
Committee meeting; Open House
Quarterly
Foundation review visit; progress report
Annual
Village Innovation Challenge; renewal decision
Implementation Roadmap
24 weeks, four phases
Phase One
Readiness
Weeks 1–4
- School selected, agreement signed
- Lab assessed and prepared
- Two AI Teacher Champions trained
- Community meeting introduces the programme
Phase Two
Launch
Weeks 5–6
- Lab opens, Charter signed together
- First structured sessions begin
- Every student receives a Learning Portfolio
- First Open House scheduled
Phase Three
Rhythm
Weeks 7–20
- Weekly sessions settle into pattern
- Committee begins monthly meetings
- First Open House held, then others follow
- Students complete first small projects
- Mid-term review checks pace and content
Phase Four
Reflect & Scale-Ready
Weeks 21–24+
- Year closes with the Village Innovation Challenge
- Outcomes reviewed against pilot indicators
- Committee and Foundation decide what comes next
One school, one year, proven well enough to repeat.
The Nexus3P Perspective
Why we resist rushing
A programme that races to look finished by month three rarely survives to month twenty-four. Four phases spread across six months give a school room to stumble, adjust, and steady itself before anyone is asked to judge the result.
Part Three · Learning from the World
What four national experiments taught us
AI Sakhi was not designed in isolation. Before drawing the first blueprint, we studied how China, Finland, Sweden and Denmark are building AI-ready citizens — and asked what a rural Indian village could actually use.
| Country | What They Did | What AI Sakhi Takes |
|---|---|---|
| China | A Ministry of Education mandate calibrated by age — a minimum of eight class hours of AI education a year in the Beijing pilot, reaching nearly nine in every ten schools by the end of 2025. | Structure AI learning by age, and commit to a minimum, measurable dose every year. |
| Finland | The University of Helsinki and Reaktor’s free “Elements of AI” course aimed to teach 1% of the population (∼54,000 people); within four months, nearly ninety thousand from eighty countries had enrolled. | Treat AI literacy as every citizen’s right, not only the young student’s. |
| Sweden | The national AI Commission recommended training teachers thoroughly before scaling AI education systems nationally. | Train the teacher before scaling the system, and design for equity from day one. |
| Denmark | AI and digital understanding enters primary schools from 2027, paired with an “AI Competence Pact” aiming to upskill one million Danes — roughly one in six citizens. | Pair a patient school timeline with a bold, funded ambition for adults. |
Drawing on published policy summaries and reporting from China’s Ministry of Education, the Georgetown Center for Security and Emerging Technology, the University of Helsinki, Sweden’s AI Commission, and Denmark’s AI Competence Pact, 2025–2026.
The Nexus3P Perspective
Why we studied four countries before writing one lesson plan
None of these systems can be copied whole into a Punjab village school. But each solved one piece of the same puzzle — reach, trust, pacing, ambition — and a rural Indian lab does not have to solve all four from scratch.
One Lab, Three Audiences
A timetable before a blueprint
A lab that runs one school-day shift for children, an early-evening shift for young adults, and a weekend-morning shift for older adults can serve an entire village from a single room. Nothing about the physical space needs to double; only its hours need to widen.
| Shift | Audience & Timing |
|---|---|
| School Shift | Class VII students, during regular school hours |
| Youth Shift | Young adults aged 16–25, early evening, two sessions a week |
| Community Shift | Adults and older residents, weekend mornings, one session a week |
The best piece of equipment in a rural AI lab is the one that still works during a power cut and a weak signal.
— Nexus3P FoundationEquipment & Technology
Two tiers, designed for rural conditions first
Essential Tier
Fifteen budget laptops or Chromebooks, one shared projector or interactive display, a basic wired or mobile-data connection, a secure charging cabinet, and battery backup sized to cover common local power cuts.
Enhanced Tier
Everything in the Essential Tier, plus a dedicated broadband connection, a small offline AI toolkit for low-connectivity days, additional devices to shorten sharing time, and a basic recording setup for the monthly Open House.
Lessons and prompt libraries are stored locally, AI tools run in an offline or low-bandwidth mode, and no session ever fully depends on a live connection. Content filtering keeps activities age-appropriate, no open social media is used during sessions, accounts need no personal information beyond a first name, and student data is never sold or shared. Equipment is reviewed every year — failures retired, affordable upgrades added, fit to tier confirmed.
The Nexus3P Perspective
Why we do not chase the newest tool
A rural lab that depends on the latest hardware breaks the day the hardware stops being available or affordable. AI Sakhi is built to age well — reviewed and refreshed annually, never redesigned around whatever tool is newest.
Part Four · Curriculum
One spine. Three tracks.
Every learner in an AI Sakhi lab builds the same core abilities. How those abilities are taught — the pace, the projects, the language — changes with who is in the room.
A twelve-year-old, a nineteen-year-old and a grandmother do not need three different beliefs about AI. They need three different paces.
— Nexus3P FoundationThe Common Spine
Ask good questions
Verify before you believe
Use AI responsibly
Apply it to real problems
Class VII
Cadence
2 sessions a week · full school year
Arc
Foundations → application → a real village project
Closes with
The Village Innovation Challenge
Ages 16–25
Cadence
2 evening sessions a week · 12-week cycle
Arc
3 weeks foundations, 9 weeks applied: CVs, job applications, interview practice, small business ideas
Closes with
A final presentation
Any adult
Cadence
1 weekend session · 8 stand-alone weeks
Arc
Daily-life AI: spotting scams, translating documents, health and agri questions, budgeting help
Closes with
Nothing — each week stands alone, so a missed session never breaks the thread
Where the Tracks Meet
All three, side by side
| Track | Audience & Cadence |
|---|---|
| School Track | Class VII students — two sessions a week, full school year |
| Youth Track | Ages 16–25 — two evening sessions a week, 12-week cycle |
| Adult Track | Any interested adult — one weekend session a week, 8-week cycle |
All three tracks share the same physical lab, the same AI Sakhi Charter, and the same portfolio-based approach to progress. A young person who completes the Youth Track is welcome to mentor in the School Track. A parent who completes the Adult Track often becomes the loudest advocate for keeping their own child in the School Track.
A Shared Vocabulary
The AI Sakhi Charter’s five habits, across every track
Treat AI as a helper, never a substitute for thinking
Verify what matters
Protect your privacy
Stay kind online
Strengthen community, don’t replace it
What a programme chooses to measure is what it is quietly telling its learners actually matters.
— Nexus3P FoundationAssessment & Certification
Measure growth, not fear
Every learner, in every track, keeps a portfolio — prompts they’re proud of, a project built, a short reflection. There is no ranking against other learners, no published scores, and no track turned into competition, apart from the School Track’s own Village Innovation Challenge, which is celebratory by design rather than comparative.
What Moves Upward
Individual portfolios stay private to the learner. What reaches the School Committee and the Nexus3P Programme Team is aggregated and anonymous: attendance across tracks, the number of completions, and a small set of indicators — confidence, application of skills, community sentiment — gathered through simple surveys rather than testing.
A Certificate That Means Something
Youth and Adult Track participants who complete their cycle receive a Nexus3P Foundation Certificate of Completion, noting the track and the skills covered. It is not a government qualification, and the programme is careful never to describe it as one — its value lies in what it documents honestly.
The Nexus3P Perspective
Why the Adult Track has no final exam
Adults come to the lab around work, family, and the harvest. A sequence that depends on every session is a sequence that punishes real life. Each of the eight adult weeks stands on its own, so missing one costs nothing but that week’s topic.
Part Five · Our People
The people behind the lab
More tracks mean more hands. As a school takes on Youth and Adult Tracks alongside School, AI Sakhi grows its team the way it grows everything else — from within the village first.
| Role | Core Responsibility |
|---|---|
| Lab Coordinator | Owns the shared timetable, equipment and cross-track coordination |
| AI Teacher Champion | Leads the School Track |
| Youth Facilitator | Leads the Youth Track; often a young alumnus or recent graduate |
| Community Facilitator | Leads the Adult Track; a trusted, familiar figure in the village |
| School AI Sakhi Committee | Oversees all three tracks |
The Lab Coordinator is usually the senior AI Teacher Champion, responsible for the shared timetable across all three shifts and equipment upkeep. The Youth Track is best led by someone closer in age to its participants — a recent graduate, a college student home for the term, or an alumnus of the track itself. The Adult Track is best led by a respected, familiar figure — a retired teacher, an Anganwadi worker, or a local self-help-group leader who already has the community’s trust.
The Nexus3P Perspective
Volunteers, not vacancies
None of these roles are conceived as new salaried positions. Most begin as a modest honorarium for a few hours a week, filled by people already invested in the village’s future — recruited from the community first, not hired from outside it.
Train the teacher before you scale the system.
— Nexus3P Foundation, echoing Sweden’s AI CommissionThe Cascade Model
A ladder any facilitator can climb
Nexus3P trains a small number of Master Trainers directly, who then train the AI Teacher Champions, Youth Facilitators and Community Facilitators at each participating school — letting the programme grow without the Foundation growing at the same pace.
Foundational skills
AI and facilitation basics for every new facilitator, whatever track they will lead.
Track-specific deepening
School, Youth or Adult specialisation — the content, pace, and audience of one track in depth.
Master Trainer certification
Train-the-trainer skills: how to coach a new facilitator through their first nervous session, and adapt curriculum for contexts not personally taught before.
Every facilitator, at any level, joins a short monthly check-in with their Lab Coordinator or Master Trainer — not a formal review, but a chance to raise issues before they become a reason to quit. The long-term goal: every participating district eventually has enough of its own Master Trainers that it no longer depends on the Nexus3P Programme Team for day-to-day training.
The Nexus3P Perspective
Why we promote from within
Master Trainers are selected from among the strongest AI Teacher Champions already in the programme — no Master Trainer has ever been hired from outside it. People who have taught the first session nervously themselves are the ones best placed to coach the next person through it.
Part Six · Scaling the Model
From one lab to many
Building on the roadmap in Part Two, the model grows outward — one proven lab, then a network built the same deliberate way.
A plan that cannot survive its first month was never truly a plan.
— Nexus3P FoundationYear One
Prove the Full Model
School Track first
- Follows Part Two’s 24-week roadmap for the School Track
- Youth and Adult Tracks added only after the first Village Innovation Challenge
- Proves one track works before layering on the next
Year Two
Steady State
One lab, three tracks
- All three tracks run on their established cadence
- The Lab Coordinator role takes shape
- First local Master Trainer candidates begin Level Two training
Year Three+
District Expansion
Beyond the first lab
- Neighbouring schools onboarded within the district
- Each site follows the same Year One and Two arc
- Supported by local, not purely external, trainers
One proven lab, then a network built the same deliberate way.
China did not reach nine in ten Beijing schools in a single year. It reached them one deliberate year at a time.
— Nexus3P FoundationWhat Triggers Expansion
A site is ready to help launch its neighbour only when…
- Its own three tracks are running steadily without heavy external support
- Its Committee meets on schedule
- At least one local candidate is ready for Master Trainer training
Where any of these is missing, expansion waits. A second lab launched before the first is steady rarely strengthens either.
The Nexus3P Perspective
Why we will say no to a willing school
An eager school is not the same as a ready one. Saying no — for now — to a willing school protects the lab that isn’t steady yet, and protects the one that hasn’t opened yet from inheriting problems the first lab never solved.
What Success Looks Like at Scale
Success at scale looks exactly like success in one village, repeated: a weekly rhythm that runs on its own, a community that speaks about the lab with warmth, and a growing number of local Master Trainers who no longer need the Foundation standing beside them. The measure of AI Sakhi’s success was never the number of labs built. It is the number of villages that no longer need Nexus3P Foundation to keep theirs running well.
Closing Note
Infrastructure, curriculum, people and a roadmap are, in the end, four answers to the same question Part One first asked: how does a rural community meet the AI revolution on its own terms, rather than being met by it unprepared? A room designed for every age, a curriculum built in one spine and three pathways, a cascade of trainers drawn from the community itself, and a plan patient enough to earn its own expansion — together, these are what turn a single hopeful pilot into a model India’s villages can genuinely make their own.