**Executive Summary**
This document outlines India's strategy to build a global AI talent pipeline, emphasizing the integration of AI education from primary to higher levels. Key initiatives include the IndiaAI Mission and the National Education Policy (NEP) 2020, with a focus on developing AI skills and infrastructure across the nation by 2027 and beyond.
**Key Points / Main Content**
**National AI Strategy & Vision**
* India is positioning itself as a global AI powerhouse, with an AI market expected to grow 25%-35% annually through 2027.
* The goal is to bridge the digital divide and make India an inclusive global AI leader by 2047, aligning with the Viksit Bharat 2047 vision.
* The IndiaAI Mission, launched in March 2024 with a budget of over ₹10,000 crore for five years, aims to foster innovation and develop AI models, datasets, and practical applications.
**National Education Policy (NEP) 2020 on AI**
* NEP 2020 recognizes AI's potential for economic growth, educational advancement, teacher capability enhancement, and personalized learning.
* It emphasizes the importance of AI and computer science/data science education across all levels for multidisciplinary learning.
* Recommendations from NEP 2020 influence both Union and State/Union Territory education policies.
**AI Initiatives in Education**
* **School Education:**
* AI integrated into CBSE and NCERT curricula, starting with Grade 9.
* CBSE offers a 15-hour AI skill module from Class VI and AI as an optional subject in Classes IX-XII.
* NCERT incorporated AI content in Class XI Computer Science and Informatics Practices.
* Atal Innovation Mission (AIM) supports hands-on AI learning through Atal Tinkering Labs (ATLs) and Frontier Technology Labs (FTLs).
* SOAR (Skilling for AI Readiness) offers AI modules for students (Classes 6-12) and educators.
* **Higher Education:**
* UGC's 2022 undergraduate curriculum includes AI, 3D machining, big data analysis, and deep learning.
* AICTE incorporates AI components in IT-related courses, offers scholarships, and conducts faculty development programs.
* The SWAYAM platform offers over 110 free AI courses.
* **Infrastructure Development:**
* Over 1.79 lakh ICT labs approved with an investment of ₹7,634 crore, reaching rural, tribal, and aspirational districts.
* 27 NIELIT AI labs and 174 ITI & Polytechnic labs are being established.
* **Research and Development:**
* Support for AI research through initiatives like Centres of Excellence and the National Research Foundation (NRF).
* IndiaAI and Meta established the Center for Generative AI, Srijan, at IIT Jodhpur and launched the YuvAi Initiative.
* Various research projects are funded, focusing on areas like AI bias mitigation and privacy-preserving machine learning.
**Skilling in AI**
* Comprehensive skilling initiatives are launched to equip the workforce with AI and digital capabilities.
* Key programs include Pradhan Mantri Kaushal Vikas Yojana (PMKVY) 4.0, SkillSaksham Program, iGOT Karmayogi Bharat Platform, FutureSkills PRIME, and YUVA AI For All.
* These programs combine foundational AI literacy with advanced technical training, targeting students, professionals, and government officials.
**Impact Analysis**
**Students**
* **Impact:** Increased access to AI education and skill development opportunities from primary to higher education. Enhanced preparedness for the future job market disrupted by AI. Opportunity to develop AI solutions for societal challenges.
* **Action Required:** Enroll in AI-related courses, modules, and programs. Participate in hackathons and skill development initiatives. Explore AI tools for research and innovation.
**Educators and Faculty**
* **Impact:** Access to AI curriculum training, pedagogical tools, and faculty development programs. Opportunity to enhance teaching capabilities in AI and related fields.
* **Action Required:** Participate in "AI for Educators" modules and faculty development programs. Utilize AI tools effectively in classrooms.
**Institutions (Schools, Universities, ITIs)**
* **Impact:** Development of AI infrastructure, including ICT labs and specialized AI labs. Integration of AI into curricula and research activities.
* **Action Required:** Implement AI curriculum as per NEP 2020. Utilize provided infrastructure grants and resources for AI education and research.
**Government Officials**
* **Impact:** Enhanced digital learning platforms and training opportunities for upskilling in AI and digital transformation.
* **Action Required:** Utilize the iGOT Karmayogi Bharat Platform for AI and digital transformation courses.
**Industry and Employers**
* **Impact:** A growing pool of AI-skilled talent available for employment. Potential for innovation and increased productivity through AI adoption.
* **Action Required:** Collaborate with educational institutions on skilling initiatives. Recruit AI-skilled professionals.
**Researchers and Scientists**
* **Impact:** Increased support for AI research and development through funding, Centers of Excellence, and access to scholarly journals. Opportunities to contribute to cutting-edge AI solutions.
* **Action Required:** Apply for research grants. Conduct interdisciplinary research and develop scalable AI solutions. Publish research findings and contribute to open-source AI development.
Key Entities Referenced
National Education Policy (NEP) 2020: Key policy document that recognizes AI's potential for economic growth, solving educational challenges, and personalizing learning, emphasizing AI-learning across all educational levels.
IndiaAI Mission: A mission launched in March 2024 aiming to make India a global AI leader by fostering innovation across government, institutions, startups, private sector, and academia.
Samagra Shiksha: A government scheme supporting ICT labs in schools, providing hardware, software, training, and digital boards, with a focus on rural, tribal, and aspirational districts.
Atal Innovation Mission (AIM): An initiative focused on building India's innovation ecosystem, including establishing Atal Tinkering Labs (ATLs) and Frontier Technology Labs (FTLs) for hands-on AI learning.
Ministry of Education: The ministry responsible for integrating AI into school curricula, overseeing initiatives like DIKSHA, and supporting AI in higher education through UGC and AICTE.
PIB Headquarters
AI in Education
Building India's Talent Pipeline for Global Leadership
Posted On: 03 MAR 2026 10:51AM by PIB Delhi
Introduction
India is positioning itself as a global AI powerhouse, with rapid growth across the sector. In 2024, 89% of
new startups were AI-powered, and 87% of the enterprises are actively employing AI. This is just the
beginning – the Indian AI market is expected to grow at a rate of 25%-35% through 2027. To support this
growth, India, which had an AI talent pool of 600,000-650,000 in 2024, needs over 1.25 million AI
professionals by 2027, at a 15% CAGR, according to NASSCOM.
Various initiatives and policies of the government are addressing the monumental shift in the labour
market disrupted by AI. The National Education Policy (NEP) 2020 recognises AI's potential for economic
growth, solving educational challenges, enhancing teacher capabilities, and personalising learning – and
emphasises the importance of AI-learning across all educational levels. The IndiaAI Mission (launched in
March 2024) aims to make India a global AI leader by fostering innovation across government,
institutions, startups, private sector, and academia.
Central to this strategy is democratising technology—ensuring AI tools and digital platforms reach remote
villages, tribal areas, and underserved communities, bridging the digital divide. This comprehensive
approach aligns with the Viksit Bharat 2047 vision, positioning India as an inclusive global AI leader.
National Education Policy 2020 on AI
The NEP acknowledges that AI, big data and machine learning will transform labour markets and drive
innovation. To ensure that the youth can cope with these monumental shifts, the NEP emphasises the
importance of learning about AI, computer science/data science, along with other subjects for
multidisciplinary education.
The policy aims to equip students in these subjects for economic success and greater opportunities.
As education is in the Concurrent List, NEP 2020's recommendations influence both Union and
State/Union Territory education policies and support the government's push to position India as a global
AI leader.
AI Initiatives in School EducationThe Ministry of Education has integrated AI into school curricula across India through CBSE and NCERT,
starting with grades 9, under National Education Policy (NEP) 2020 and National Curriculum Framework
(NCF) 2023.
Currently, CBSE offers a 15-hour AI skill module from Class VI onwards and AI as an optional subject in
Classes IX-XII. NCERT has incorporated AI content in Class XI Computer Science and Informatics
Practices textbooks and used AI/ML to translate Grade 1-2 textbooks into 22 Indian languages.
AI-Courses for Students and Educators
DIKSHA Platform
DIKSHA (Digital Infrastructure for Knowledge Sharing), a Ministry of Education initiative, uses AI for
inclusivity: AI-based keyword search in videos and read-aloud feature for visually impaired students. The
DIKSHA mobile app is available for teachers and also for students and parents. The app is loaded with
engaging learning material that fits the needs of the prescribed school curriculum.
SOAR InitiativeThe Ministry of Skill Development and Entrepreneurship launched SOAR (Skilling for AI Readiness) to
build AI awareness and skills for classes 6–12 students and educators. Program includes three 15-hour
student modules and one 45-hour "AI for Educators" teacher module.
"AI for Educators" Module:
The module trains teachers to understand AI curriculum and pedagogy, use AI tools effectively in
classrooms, promote inclusivity for diverse learners, create educational AI projects, and teach responsible
AI ethics.
SWAYAM Platform
The Ministry of Education's SWAYAM (Study Webs of Active Learning for Young Aspiring Minds)
platform offers 110+ free AI courses from IITs and IISc, with 41.2 lakh+ students enrolled.
AI in Higher Education
University Grants Commission (UGC): The 2022 undergraduate curriculum includes AI, 3D machining,
big data analysis, machine learning, drone technologies, and deep learning with applications in health,
environment, and sustainable living.
All India Council for Technical Education (AICTE):
Incorporated AI components in all IT-related courses
Conducts hackathons to promote AI awareness
Offers women engineering scholarships (PRAGATI, Saraswati)
Conducts faculty development programs
Perplexity Partners with AICTE
Perplexity, an AI-powered search engine has partnered with AICTE to provide support to 40 million
students of 14,000 institutions through digital distribution via AICTE’s various communication channels,
faculty training session and pilot launches in Centres of Excellence. There is also student access to the
Perplexity website/app through institutional onboarding. The purpose of the project is for students to
explore how AI tools can support research, innovation and real-world applications. This project aligns
with the NEP’s emphasis on experiential learning.IIT Madras Bharat Bodhan AI Conclave 2026
Ministry of Education, Government of India, is inviting participants who have developed credible and
research-backed AI solutions with demonstrated measurable outcomes to part in the IIT Madras Bharat
Bodhan AI Conclave 2026 which will take place on February 12-13 in New Delhi. The call is open to
solution providers, academic and research institutions, government bodies and other stakeholders from
across India and abroad.
Submissions are invited across four priority verticals:
1. AI for School Education,
2. AI for Higher Education,
3. AI for Skilling and Workforce Readiness, and
4. AI Research and Deep Technology.
Research and Development
The government is supporting research and development in AI through various initiatives or schemes.
IndiaAI and Meta established the Center for Generative AI, Srijan (सृजन) at IIT Jodhpur and launched
the YuvAi Initiative (with MeitY and AICTE) to advance open-source AI in India. The program targets
100,000 students and developers (aged 18-30) over three years to develop AI solutions for healthcare,
education, agriculture, smart cities, and financial inclusion.
Key Components:
1. Gen AI Resource Hub (courses, case studies, open datasets)
2. LLM for Young Developers Course (designed by Meta)
3. Master Training Activation Workshops (foundational AI concepts)
4. Unleash LLM Hackathons (mentoring, seed grants, market support for top ideas)
5. AI Innovation Accelerator (supporting 10 student-led startups with incubation and visibility).
IndiaAI Mission’s Educational GoalsIndiaAI Mission (launched in March 2024) is laying the foundation for India’s AI sector development. The
initiative has been allocated a budget of ₹10,371.92 crore over five years. It provides computing
infrastructure for developing AI models, creates datasets for training, and develops practical applications
across sectors including education.
IndiaAI’s initiatives supporting AI-centric education and AI-research are:
AI is helping children with learning disabilities bridge their learning gaps through various applications:
Existing Solutions:
Readabled (Online Dyslexia Training): Web-based application helping children with dyslexia
improve phonetic awareness through interactive exercises
ScreenPlay: Digital, game-based screening tool identifying children aged 3-6 at risk for autism or
related developmental conditions
Prototype Stage:
Voice Fusion AI: Application providing assistive support to individuals with Specific Learning
Disabilities (SLDs) in multiple Indian languages
Adaptive Learning and Detection for SLDs: Advanced AI techniques detecting specific learning
disorders (SLDs) such as dyslexia, dysgraphia, and dyscalculia
Idea Stage:
Jiveesha: AI-powered diagnostic platform for early detection of SLDs
Special Educator AI: AI-driven system addressing India's shortage of special educators and
supporting children with SLDs
The Government is funding R&D projects at premier institutions like IITs to build AI tools.
Indian educational institutions are also working on IndiaAI Application Development Initiative. Selected
projects are:
DeepFlood: Rapid Flood Inundation Mapping
Team: Indian Institute of Technology Delhi
Stage: Prototype
Description: Advanced flood inundation mapping tool using SAR (Synthetic Aperture Radar) data
and deep learning models for real-time, automated flood detection with Vision Transformers and
satellite data
The details of the selected projects developed by teams from Indian educational institutes under “Safe &
Trusted AI” Pillar are:
Responsible AI Projects
Machine Unlearning
IIT Jodhpur: Machine Unlearning in Generative Foundation Models
Synthetic Data Generation
IIT Roorkee: Design and Development of Method for Generating Synthetic Data for Mitigating Bias
in Datasets; and Framework for Mitigating Bias in Machine Learning Pipeline for Responsible AI
AI Bias Mitigation Strategy
National Institute of Technology Raipur: Development of Responsible Artificial Intelligence for
Bias Mitigation in Health Care Systems
Explainable AI Framework
DIAT Pune and Mindgraph Technology Pvt. Ltd.: Enabling Explainable and Privacy Preserving AI
for Security
Privacy Enhancing Strategy
IIT Delhi, IIIT Delhi, IIT Dharwad, and Telecommunication Engineering Center (TEC): Robust
Privacy-Preserving Machine Learning Models
AI Ethical Certification FrameworkIIIT Delhi and Telecommunication Engineering Center (TEC): Tools for assessing fairness of AI
model
AI Algorithm Auditing Tool
Civic Data Labs Pvt. Ltd.: ParakhAI - An open-source framework and toolkit for Participatory
Algorithmic Auditing
AI Governance Testing Framework
Amrita Vishwa Vidyapeetham and Telecommunication Engineering Center (TEC): Track-LLM,
Transparency, Risk Assessment, Context & Knowledge for Large Language Models
Skilling in AI
To equip India's workforce with AI and digital capabilities, the government has launched comprehensive
skilling initiatives spanning students, industrial trainees, professionals, and government officials. These
programs combine foundational AI literacy with advanced technical training.
Programme Implementing Target/Scale Key Features
Agency
Pradhan Mantri Ministry of Skill 36,584 trained in Short-Term Training (STT) and
Kaushal Vikas Yojana Development and AI (as on June 30, Recognition of Prior Learning
(PMKVY) 4.0 Entrepreneurship 2025); 45% (RPL); AI Career for Women
(MSDE) women Initiative launched in April 2025
(targeting 8,000 girls over 2
years)
SkillSaksham Program MSDE + 200 Industrial 1,200 hours AI training + 400
Microsoft (MoU Training Institutes hours Advanced AI in ~15
Aug 2024) (ITIs); 10,000+ National Skill Training
candidates Institutes (NSTIs) under
targeted; 8,500+ Craftsmen Training Scheme
already trained (CTS)
iGOT Karmayogi Mission Government Digital learning platform
Bharat Platform Karmayogi officials offering courses in AI, data
analytics, and digital
transformation
FutureSkills PRIME Government + 16.29 lakh+ 500+ courses, 2,000+ digital
NASSCOM enrolled/trained fluency pathways in AI, Big
Data, Cloud Computing; aligned
with National Occupational
Standards (NOS) and National
Skills Qualification Framework
(NSQF)
YUVA AI For All IndiaAI Mission Target: 1 crore Free, self-paced foundational AI
citizens course (4–4.5 hours) for
students, youth, professionals,
parents, senior citizens
Conclusion
India's comprehensive AI education strategy—aligned with NEP 2020 and the IndiaAI Mission—spans
curriculum integration from primary to higher education, teacher capacity building, infrastructure
development, skilling initiatives, and research Centres of Excellence. The approach extends beyond urban
centres to tribal and aspirational districts, democratising technology access across all communities. These
initiatives position India as a global AI leader while ensuring inclusive socio-economic development,
embodying Welfare for All, Happiness for All (Sarvajanam Hitaya, Sarvajanam Sukhaya).
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