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AI Computing/AI VIDYA/Certification

Certifications That Mean Something.

Every student who completes the AI VIDYA curriculum earns an industry-recognized AI certification. Every institution that deploys a AI VIDYA lab earns a quality designation. Designed for co-certification with NASSCOM, NSDC, AICTE, Intel, NVIDIA, Google, and Microsoft. Partnerships being formalised.

एआई विद्या — प्रमाणित AI दक्षता

Level 1
AI Explorer
Classes 3–8
Level 2
AI Practitioner
Classes 9–12
Level 3
AI Professional
Higher Ed
|
Level V
AI Skills Ready
Vocational
Why It Matters

Certification changes outcomes

For students, it's a credential that opens doors. For institutions, it's a quality mark that builds reputation. For employers, it's a signal that graduates are ready.

For Students

A verifiable AI credential that proves skills — not just attendance. Recognized by employers, designed for co-certification with leading industry partners, and mapped to industry skill frameworks.

For Institutions

A quality designation that differentiates your school or college. Use in NAAC/NBA accreditation, parent communications, marketing, and student recruitment.

For Employers

A clear signal that candidates have hands-on AI skills. Assessment-based, not attendance-based. Mapped to NSDC Qualification Packs and industry competency frameworks.

Student Certifications

Four levels for every learner

Each certification is earned through assessment — not participation. Students must demonstrate real skills through projects, exams, and portfolios.

RDP AI Explorer

Tier A · Classes 3–8 · Age 8–14

Foundational awareness of AI concepts, computational thinking, and hands-on experience building simple AI projects using visual tools. This is where 100 million students begin their AI journey.

Assessment
Online quiz + project submission
Validity
Lifetime
Pre-requisite
Complete Tier A curriculum
Skills Validated
Computational Thinking AI Awareness Data Basics AI Ethics Block-Based Programming Simple AI Projects

RDP AI Practitioner

Tier B · Classes 9–12 · Age 14–18

Demonstrated ability to build basic AI/ML models using Python, work with real datasets, apply computer vision and NLP techniques, and complete an end-to-end AI capstone project from problem identification to working demo.

Assessment
Online exam + capstone project evaluation
Validity
5 Years
Pre-requisite
Complete Tier B curriculum
Skills Validated
Python Machine Learning Computer Vision NLP Basics Data Analysis Capstone Project AI for Social Good

RDP AI Professional

Tier C · Higher Education · BTech/MTech/PhD

Advanced skills in deep learning, generative AI, MLOps, and model deployment on GPU infrastructure. Validated through proctored examination, a substantial research project, and viva voce — the highest level of AI VIDYA student certification.

Assessment
Proctored exam + research project + viva
Validity
3 Years (renewable)
Pre-requisite
Complete Tier C curriculum
Skills Validated
Deep Learning Generative AI MLOps GPU Computing Domain AI Research Model Deployment AI Infrastructure

RDP AI Skills Ready

Tier D · Vocational · ITI / Polytechnic / Skill Centres

Validated proficiency in digital literacy, AI tools for trades, data handling, workflow automation, and AI-powered productivity. Practical assessment-based — students demonstrate real trade-applicable skills, not memorised theory.

Assessment
Practical assessment + portfolio
Validity
3 Years (renewable)
Pre-requisite
Complete Tier D curriculum
Skills Validated
Digital Literacy AI Tools Trade-Specific AI Data Entry & Automation AI Entrepreneurship Prompt Engineering
How It Works

From curriculum to credential

1

Complete Curriculum

Student completes the relevant tier's modules, projects, and hands-on labs

2

Submit Assessment

Online quiz, exam, practical assessment, or research project — depending on tier

3

Earn Certificate

Digital certificate issued via AI VIDYA portal with unique verification ID

4

Verify Anywhere

Employers and institutions can verify authenticity via the AI VIDYA verification portal

Institution Certification

Three tiers for your institution

Institutions that deploy AI VIDYA labs and meet programme standards earn the "RDP AI Education Lab Certified" designation — a quality mark for marketing, accreditation, and parent communications.

Bronze

Entry-level certification

For institutions with Starter or Standard AI VIDYA labs. Demonstrates commitment to AI education with a functioning lab, trained teachers, and enrolled students.

Labs: Starter (20 seats) or Standard (40 seats)

Silver

Advanced certification

For institutions with Advanced or Pro labs. Demonstrates significant investment in AI infrastructure, multiple trained faculty, and measurable student outcomes.

Labs: Advanced (60 seats) or Pro (100 seats)

Gold

Premier certification

For institutions with Elite or Campus-wide deployments. Demonstrates world-class AI education infrastructure, research capability, and outstanding student outcomes.

Labs: Elite (150 seats) or Campus (300+ seats)

All institution certifications are renewed annually based on lab utilization data, student outcomes, and curriculum adherence.

Co-Certification Partners · Planned

Dual-branded certificates with India's top bodies

भारतीय मानक, वैश्विक मान्यता

AI VIDYA certifications are designed for co-certification alignment with leading academic, industry, and technology bodies. Partnerships are being formalised to give students dual credentials that significantly enhance employability.

Industry

NASSCOM

Industry alignment and employability recognition

Vocational

NSDC / NCVET

Vocational recognition and qualification pack mapping

Academic

AICTE

Academic credit mapping for higher education

Technology

Intel AI for Youth

AI skills certification for young learners

Technology

NVIDIA DLI

Deep Learning Institute certification for higher ed

Technology

IBM SkillsBuild

AI and digital skills certification

Technology

Google for Education

Google AI certification for educators and students

Technology

Microsoft Imagine Academy

AI and cloud skills certification

At a Glance

Certification comparison

Attribute AI Explorer AI Practitioner AI Professional AI Skills Ready
Tier A — Foundations B — Applications C — Engineering D — Skills
Audience Classes 3–8 Classes 9–12 Higher Education ITI / Polytechnic
Assessment Online quiz + project Online exam + capstone Proctored exam + research + viva Practical + portfolio
Validity Lifetime 5 Years 3 Years (renewable) 3 Years (renewable)
Key Tools Scratch, Teachable Machine Python, scikit-learn, OpenCV PyTorch, Ollama, Docker Office 365, ChatGPT, Canva AI
Co-Cert Partners (Planned) Intel AI for Youth NASSCOM, Google AICTE, NVIDIA DLI, IBM NSDC, NCVET, Microsoft
Institution Level Bronze Bronze / Silver Silver / Gold Bronze / Silver

Give your students credentials that matter

Certification is included in every AI VIDYA lab deployment — no additional cost. Your students earn industry-recognized AI credentials, and your institution earns a quality designation. Let's get started.

Indian standards. Global recognition. Make-in-India certified.