Building India’s AI Talent: Scaler School of Technology’s Vision for Future-Ready Engineers

Scaler School of Technology SST is rapidly emerging as one of the most forwardthinking institutions for engineering education in India With a strong focus on computer science artificial intelligence and robotics SST is redefining how young engineers are trainednot just in theory but through consistent highimpact practice From industrydriven labs to top internships and sponsored projects students are immersed in realworld problemsolving from their very first year In this exclusive QampA the Dean of SST Anshuman Singh talks to us about how the institution is cultivating the next generation of AI talent for Indiaone project one lab and one startupready software developer at a timeQ How is SST preparing students for careers in artificial intelligence machine learning and roboticsA At SST we have developed a curriculum that not only exposes students to AI and ML as buzzwords we have embedded AI and ML into the students learning from the first year itself Foundational learning covers programming data structures algorithms and mathematics for machine learning From there students advance into applied topics such as supervised and unsupervised learning deep learning computer vision and reinforcement learningAs students progress they explore cuttingedge areas including transformer architectures large language models LLMs generative AI and agentic AI systems We emphasize realworld applications students build and finetune models train domainspecific LLMs experiment with prompt engineering and design agentic workflowsWhat truly sets us apart is the handson productbuilding approach Our curriculum designed in collaboration with 100 leaders from Google Meta Flipkart and more to ensure students donrsquot just understand modelsthey build them tune them and deploy them We are not chasing grades we are seeking productionready systems And the same is true of robotics where students are launching real actuator control automation workflows and AIenabled robotics systems through handson labs and collaborationsQ You mentioned labs and real projectscan you tell us more about thatA Our Innovation Lab is purposefully structured to build real products that solve everyday problems using AI Whether its training models for speech vision or language students are immersed in projects that simulate real engineering environmentsFor example CareCanvas is an AIpowered skincare assistant that personalizes and tracks users progress on their skin care routines through smart datadriven insights Another is Varia an AI voice agent made for humanlike phone conversations in B2B and fintech applications While still a work in progress this demonstrates the level of complexity students are encouraged to tackleWe also see deep technical work like speechtospeech translation and gesturecontrolled gaming that were built during our AIML Build Day Events like the 48hour Gahan AI Hackathon lead to rapid prototyping and the opportunity for interdisciplinary teams to collaborate and work on realworld use cases with the pressure of a deadlineStudent ventures have similar ambitionsranging from platforms enabling lifelike AI avatars for education and entertainment to apps that simplify healthcare communication automate grading or provide personalized learning content These arenrsquot just class projectsmany are in beta or already have early usersWhat makes this ecosystem unique is the yearlong Industry Immersion that every student takes part in Whether they choose to intern launch their startup or dive deep into a research project they gain real experience solving problems at production scale working with engineers writing code that actually runs and learning the process of taking a product from ideation to deploymentQ Can you talk about students whorsquove benefited from this handson learning modelA Take an example of Sauhard Gupta selected for Google Summer of Code GSoC 2025 which is a globally competitive program with only about 537 acceptance rate and is usually targeted towards students who are in their senior year or pursuing a postgraduate degree The Android Virtual Printer Application one of Sauhards projects is now under review by teams working on ChromiumBut it isnrsquot just Sauhard thatrsquos outstanding itrsquos the ecosystem we have built at SST that prepares students to perform at this level Opensource mentorship the guidance for artificial intelligence along with a culture of peerled innovation allows students to take the lead by making work and projects that matterAnother recent accomplishment is that four of our students have been chosen to attend the Harvard Project for Asian and International Relations HPAIR Conference in Tokyo this year This global platform is prestigious highly selective and provides the opportunity for future leaders to interact with policymakers entrepreneurs and academics from around the worldQ What role do mentors and industry professionals play in this modelA Mentorship is a key aspect of SST It is also a component that all of our students have access to at SST mentor relationships with industry experts the very best from global players that come from companies such as Amazon Microsoft Flipkart and most of which visit our Bangalore Campus to have offline sessions on site These industry experts direct the students from SST on project architecture research directions and careers in AI or RoboticsWe regularly have sessions with super mentors like Rajan Anandan ExMicrosoft India Head ExGoogle VP SEA Bhavin Turakhia ZETA CEO and most recently Arvind Neelakantan one of the founding minds behind GPT3 and GPT4 and now a Research Scientist at Google DeepMind Arvind gave students a rare behindthescenes look at realworld AI development He discussed how AI is transforming engineering as well as the significance of systems thinking and the need to do things with intention not just speed The students were clearly inspired yet humbledQ How does your model keep up with how quickly AI evolvesA Our curriculum evolves fast Whenever a new architecture model or groundbreaking paper is released our instructorsmany of whom are active software developer professionalscover it in the next module Our AI and ML courses are tightly aligned with real industry needs from LLMs and prompt engineering to deploying pipelines with TensorFlow PyTorch Hugging Face and Kubernetes By third year many students arenrsquot job huntingtheyrsquore already building products working in research labs or running startupsThe loop between industry demand and academic design is tight and intentionalQ Final thoughts on SSTrsquos place in the tech education spaceA Our goal is to create builders not just graduates By second year SST students contribute to opensource launch apps and solve real technical problems We believe that AI and robotics arenrsquot just future skillstheyrsquore presentday tools and our students are already working with them right now Admissions for the 2025 intake are closing soon Explore the 4year undergraduate program in Computer Science and AI at SST httpsscalerschooloftechcom44XOnRS

Building India’s AI Talent: Scaler School of Technology’s Vision for Future-Ready Engineers

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Building India’s AI Talent: Scaler School of Technology’s Vision for Future-Ready Engineers

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