India’s online upskilling market is projected to grow from ₹30,000 crore in FY23 to ₹85,000 crore by FY28 (23.1% CAGR), per Technopak Advisors. Firms including Great Learning, upGrad, and Eruditus are introducing no-code tracks amid surging AI capabilities—enabling non-technical professionals to apply AI in sales, finance, HR, and operations. Over 37% of Eruditus’s B2C learners enrolled in tech programmes recently, and upGrad reports >40% YoY growth in mid-career enrolments. Structured learning remains valued for mentorship and outcomes despite rising self-learning tools.
According to www.livemint.com, India’s online higher education and upskilling market—valued at ₹30,000 crore in FY23—is projected to grow at a 23.1% compound annual growth rate to reach ₹85,000 crore by FY28, per a June 2025 report by Technopak Advisors.
No-Code Tracks Emerge Across Major Upskilling Platforms
In response to rapid advances in generative AI, leading Indian upskilling firms—including Great Learning, upGrad (backed by Temasek), and Eruditus (backed by Prosus)—are redesigning curricula to reduce coding prerequisites and introduce no-code or low-code learning pathways. These changes target professionals outside traditional tech roles who seek to integrate AI into existing functions rather than transition into software development.
Arjun Nair, co-founder of Great Learning—which was formerly part of the Byju’s group—noted the accelerating capability of AI models:
“The models have become dramatically better. Whether it is Claude, Gemini, or OpenAI models, their capabilities have improved sharply in the last three to six months.” — Arjun Nair, co-founder, Great Learning
Nair added that tasks once requiring months of training—such as building dashboards or writing basic analytics scripts—can now be accomplished via prompting in under three minutes.
Curriculum Restructuring and Learner Shifts
Great Learning now offers learners a choice between coding and no-code tracks across nearly all its programmes. The company has reordered course sequencing: learners begin creating outputs first, then delve into foundational layers like Python syntax and environments only if needed.
upGrad has restructured parts of its AI and data science curricula over the past year to include no-code and low-code entry points—particularly in Generative AI, prompt engineering, and AI-led business workflows. Anuj Vishwakarma, CEO of higher education programs at upGrad, confirmed strong uptake from professionals in marketing, finance, consulting, and operations—with more than 40% year-on-year growth in enrolments from mid-career professionals across university-led programmes.
Eruditus is developing dedicated no-code AI programmes for non-developers while updating existing offerings—including its Full Stack Development with MERN programme—to embed guidance on “the do’s and don’ts of AI-assisted coding,” introduced in November 2025. Ashwin Damera, co-founder and CEO of Eruditus, emphasized that coding remains essential for deeply technical AI roles, but noted that 37% of Eruditus’s B2C learners in the last three quarters enrolled in tech programmes.
New Demographics, Persistent Value of Structure
Demand is increasingly driven by mid-career professionals in sales, marketing, research, finance, HR, and operations. Eruditus reported broadly 35% year-on-year growth in organisations signing up for AI-focused programmes. Despite the proliferation of self-learning tools, companies stress that structured learning retains value through mentorship, accountability, and cohort-based support.
However, Damera cautioned about rising noise in the space:
“The space is getting flooded with shallow, hype-driven content that promises transformation in two to three hours.” — Ashwin Damera, co-founder and CEO, Eruditus
The sector is also emerging from a broader edtech funding winter. upGrad—recently operationally profitable—is targeting a public listing in 2027; Great Learning and Eruditus have also expressed interest in public market debuts.
Source: www.livemint.com
Compiled from international media by the SCI.AI editorial team.
