AI Curiosity Soars in India, Yet Global Skills Gap Remains: Key Insights from Coursera

India is witnessing a surge in interest in generative artificial intelligence (GenAI) education, with enrolments in related courses rising by a massive 107% year-on-year. Yet, according to Coursera’s 2025 Global Skills Report, India ranks a modest 89th globally in overall AI readiness — revealing a stark disconnect between interest and applied competence in this fast-evolving field.

The report, based on data from 148 million learners across 100+ countries, shines a light on both promising trends and systemic challenges in India’s skilling landscape. While Indians are rapidly signing up for AI-related content, the relatively low skills proficiency score indicates a critical need for deep, structured, and hands-on learning, not just mass participation.

A Nation Eager to Learn: 107% Jump Reflects Curiosity

India's enthusiasm for generative AI is unmistakable. The 107% increase in enrolments on Coursera indicates a widespread recognition of the role GenAI will play in the future of work, particularly in sectors like IT services, banking, marketing, design, education, and customer support.

Courses related to tools such as ChatGPT, Bard, DALL·E, and Midjourney, along with foundational topics in machine learning, prompt engineering, ethical AI, and neural networks, have seen the largest spikes in enrolment.

According to the report, the highest participation has come from learners in Tier 2 and Tier 3 cities, driven by mobile access, affordable internet, and increasing awareness of global job trends.

Global Context: India Lags in Skill Proficiency

Despite the enthusiastic uptake of courses, India stands at the 89th position globally in terms of skills proficiency in AI and data science domains. It also ranks 10th in Asia — trailing countries like Singapore, Japan, South Korea, and even Vietnam — in AI preparedness.

Coursera evaluates learners across three domains:

1. Business Skills

2. Technology Skills

3. Data Science Skills

India scored below global averages in all three, with AI-related technical skills like machine learning, deep learning, and natural language processing marking particular weaknesses.

This contrast suggests that while interest is high, the depth and quality of learning, retention, and practical application are lacking. Learners may be signing up but not necessarily completing courses or translating that knowledge into industry-aligned skills.

Corporate and Government Push Drives Enrolments

A significant chunk of this spike is also attributed to government skilling programs and corporate upskilling initiatives. Major Indian IT firms and consultancies have mandated GenAI training for employees. Government platforms like SWAYAM, Skill India Digital, and partnerships with platforms like Coursera and edX are offering free or subsidized AI courses.

Coursera noted a rise in B2B partnerships in India, especially from the BFSI, healthcare, and education sectors, aimed at preparing employees for an AI-augmented workplace.

Some Indian universities, including IITs and private tech institutes, have started integrating GenAI modules into their computer science and business analytics programs, further fueling enrolment growth.

Top GenAI Courses Popular Among Indians

According to Coursera’s India-specific data, the following courses have been most popular in the past year:

• “Prompt Engineering for ChatGPT” by Vanderbilt University

• “Generative AI for Everyone” by DeepLearning.AI

• “AI for Business” by the University of Pennsylvania

• “Building Systems with the ChatGPT API”

• “Ethics in AI” by the University of Toronto

Most learners are opting for short-duration (4–8 weeks), project-based courses that offer certificates — a trend Coursera interprets as a preference for flexible, job-oriented learning.

Challenges Hindering AI Skills Development in India

Despite encouraging numbers, India’s ranking suggests several bottlenecks:

1. Superficial Learning:
   Many learners enroll but don’t complete courses or struggle with advanced modules.

2. Lack of Industry Exposure:
   Students and professionals often lack access to real-world datasets or practical AI projects.

3. Language Barriers:
   AI education is predominantly in English. Local language content is scarce, restricting access.

4. Faculty and Curriculum Gaps:
   Even in engineering colleges, AI is often taught theoretically with outdated syllabi.

5. Urban-Rural Divide:
   Connectivity, awareness, and mentorship remain challenges outside metro cities.

6. Certifications ≠ Employability:
   Recruiters often look for demonstrated expertise — such as contributions to open-source, internships, or hackathon wins — not just course certificates.

The Coursera Recommendations for India

In the report, Coursera suggested a roadmap for India to bridge the GenAI skill gap:

• Build foundational digital and data literacy across age groups

• Integrate GenAI across all STEM and management curricula

• Foster industry-academia collaboration for project-based learning

• Create local language AI education content

• Promote women’s participation in GenAI and tech fields

• Subsidize internet and devices for learners in underserved areas

• Support career pathways through AI internships and mentorships

Jeff Maggioncalda, CEO of Coursera, emphasized:
"India has immense potential to lead the AI revolution. What’s needed now is to convert this enthusiasm into deep expertise and innovation."

India’s GenAI Opportunity: A Long-Term Play

While the 107% growth in enrolment is undeniably a strong sign of interest, the global ranking of 89 shows that India is still at the foothills of the AI revolution. To climb the ranks, the country must invest in infrastructure, inclusive education, and long-term strategies for skill deepening.

With AI expected to touch every industry — from healthcare diagnostics to creative design, legal automation, and climate modeling — the window of opportunity is narrow. If India can effectively upskill its young, tech-savvy population, it could become one of the largest hubs for AI innovation and service delivery by the end of this decade.

But without a focus on quality, consistency, and inclusivity, the risk is clear: a generation of learners caught in a loop of shallow certifications with limited real-world value.

India’s AI learning boom is encouraging, but it's just the beginning. The sharp increase in course enrolments must be matched with pedagogical depth, industry integration, and equitable access. Only then can India transform its digital curiosity into global AI leadership.

For now, the numbers speak both of hope — and of work still to be done.