TLDR: Scaler School of Technology (SST) has unveiled a cutting-edge engineering blueprint, positioning itself as a pivotal institution in shaping India’s artificial intelligence future. The program emphasizes a hands-on, practice-oriented approach, immersing students in real-world problem-solving, industry-driven labs, and extensive mentorship from leading tech professionals from their first year.
New Delhi, India – Scaler School of Technology (SST) is rapidly establishing itself as a leading institution for engineering education in India, with a strong emphasis on computer science, artificial intelligence, and robotics. The institution is redefining engineering training by prioritizing consistent, high-impact practical experience over traditional theoretical learning.
SST’s curriculum is meticulously designed to embed AI and Machine Learning from the very first year. Foundational learning encompasses programming, data structures, algorithms, and the mathematics essential for machine learning. As students progress, they delve into applied topics such as supervised and unsupervised learning, deep learning, computer vision, and reinforcement learning. The program also explores cutting-edge areas including transformer architectures, large language models (LLMs), generative AI, and agentic AI systems. A core philosophy is real-world application, where students build and fine-tune models, train domain-specific LLMs, experiment with prompt engineering, and design agentic workflows.
Anshuman Singh, Dean of SST, highlighted the institution’s unique approach, stating, “Our curriculum, designed in collaboration with 100+ leaders from Google, Meta, Flipkart and more to ensure students don’t just understand models—they build them, tune them, and deploy them. We are not chasing grades; we are seeking production-ready systems.” He further added, “The same is true of robotics, where students are launching real actuator control, automation workflows, and AI-enabled robotics systems through hands-on labs and collaborations.”
The Innovation Lab at SST is structured to facilitate the creation of real products that address everyday problems using AI. Examples of student projects include CareCanvas, an AI-powered skincare assistant, and Varia, an AI voice agent for B2B and fintech applications. Students also engage in deep technical work like speech-to-speech translation and gesture-controlled gaming, often developed during events like the 48-hour Gahan AI Hackathon, which fosters rapid prototyping and interdisciplinary collaboration.
A key differentiator is the year-long Industry Immersion program, where every student gains practical experience at a production scale, whether through internships, launching their own startups, or engaging in deep research projects. This prepares them to work with engineers, write functional code, and understand the product development lifecycle from ideation to deployment.
SST’s commitment to excellence is evident in student achievements. Sauhard Gupta, an SST student, was selected for Google Summer of Code (GSoC) 2025, a globally competitive program with only about a 5% acceptance rate, typically targeting senior or postgraduate students. His Android Virtual Printer Application is currently under review by Chromium teams. Additionally, four SST students were chosen to attend the prestigious Harvard Project for Asian and International Relations (HPAIR) Conference in Tokyo.
Mentorship plays a crucial role in SST’s model. Students have access to industry experts from companies like Amazon, Microsoft, and Flipkart, who conduct offline sessions at the Bangalore campus, guiding students on project architecture, research directions, and career paths in AI and Robotics. The institution also hosts sessions with ‘super mentors’ such as Rajan Anandan (Ex-Microsoft India Head, Ex-Google VP SEA), Bhavin Turakhia (ZETA CEO), and Arvind Neelakantan, a founding mind behind GPT-3 and GPT-4 and a Research Scientist at Google DeepMind, who provides insights into real-world AI development.
To keep pace with the rapid evolution of AI, SST’s curriculum is dynamic. Instructors, many of whom are active software development professionals, integrate new architectural models and groundbreaking research into modules as soon as they are released. AI and ML courses are tightly aligned with industry needs, covering topics from LLMs and prompt engineering to deploying pipelines with TensorFlow, PyTorch, Hugging Face, and Kubernetes. By their third year, many students are already building products, working in research labs, or running startups, demonstrating the tight and intentional loop between industry demand and academic design.
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Anshuman Singh concluded, “Our goal is to create builders, not just graduates. By second year, SST students contribute to open-source, launch apps, and solve real technical problems. We believe that AI and robotics aren’t just future skills—they’re present-day tools, and our students are already working with them right now.” Admissions for the 2025 intake are currently closing for the 4-year undergraduate program in Computer Science and AI.
