upGrad is Using AI to Translate Learning Materials into Indian Languages
Leading education company upGrad is harnessing AI to translate popular learning materials like bootcamps and certifications into Indian languages. Presently, more than 40% of upGrad’s learners in India hail from Tier 2 cities and beyond, where local languages are prevalent. In response to this demographic insight, the company aims to translate its offerings into Hindi, Tamil, Telugu, Kannada, and Bengali in the initial phase. To enhance accessibility and effectiveness, upGrad will integrate a blend of pedagogy and human interventions. Local language-speaking counsellors and buddies will be deployed to guide learners through the educational journey. “Considering that only 7 to 8% of graduates in India are deemed employable, our objective is to substantially elevate this figure by providing millions with some initial support or springboard to get closer to their career aspirations,” said upGrad president Asheesh Sharma. Sharma highlighted the company’s investment in AI, stating that they have been using AI in operations for a while and are now integrating it further into the curriculum and teaching methods. This strategic move aligns with the company’s growth and transformative goals for the fiscal year 2025. The focus in Phase 1 will cover domains like engineering, data science, AI, cloud computing, DevOps, UI/UX, and agile project management, with Phase 2 expanding into areas such as cybersecurity, blockchain, product management, business analysis, and ITIL, along with foreign languages like Spanish and Chinese. With over five lakh enrolled learners, the demand for upGrad’s courses has been notable in key cities such as Bengaluru, New Delhi, Mumbai, Hyderabad, Odisha, Pune, Chennai, and Kolkata. To address inquiries effectively, the company will leverage an in-house tech tool, aligning with the Government of India’s initiative to connect culturally and foster cognitive development among the youth.
The company aims to translate its offerings into Hindi, Tamil, Telugu, Kannada, and Bengali in the initial phase.
The company aims to translate its offerings into Hindi, Tamil, Telugu, Kannada, and Bengali in the initial phase.
["UpGrad"]
["data science", "Go", "programming_languages:R", "AI", "cloud computing", "programming_languages:Go", "RAG", "Aim", "UpGrad", "DevOps", "R"]
["AI", "data science", "Aim", "RAG", "cloud computing", "R", "Go", "DevOps", "programming_languages:R", "programming_languages:Go"]
Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&amp;I, hiring in tech and more.