Facilities

The B.Tech in Computer Science & Engineering is supported by purpose-built labs, studios and compute infrastructure on the SIU campus, together with industry-resident workspaces inside the operating enterprises of the Sri City Integrated Business City. Together they cover the full range of full-stack engineering, AI and machine learning, cloud and DevOps work that the program demands

On-Campus Labs — Full Stack Web Development

FULL+STACK+ENGINEERING+LAB

Full Stack Engineering Lab

Dedicated workstations and IDE setups for front-end, back-end and full-stack development work, configured for the modern web stack…

Know More

Dedicated workstations and IDE setups for front-end, back-end and full-stack development work, configured for the modern web stack used by enterprise partners — Node.js, React, Next.js, Python, Flask/FastAPI, PostgreSQL, MongoDB — with Git, GitHub, Postman, Chrome DevTools and the full set of development tools used in production engineering teams. The daily workspace of the Full Stack cohort across all four years.

Show Less

Cloud+&+DevOps+Studio

Cloud & DevOps Studio

Hands-on environment for cloud-native development. Includes AWS, GCP and Azure sandboxes with allocated credit for student project…

Know more

Hands-on environment for cloud-native development. Includes AWS, GCP and Azure sandboxes with allocated credit for student projects; CI/CD pipelines with GitHub Actions and Jenkins; container orchestration with Docker, Kubernetes and Helm; and observability stacks with Prometheus, Grafana and ArgoCD.

Show Less

System+Design+&+Architecture+Studio

System Design & Architecture Studio

Collaboration space for system design exercises, architecture reviews and capstone planning sessions co-mentored by industry engin…

Know More

Collaboration space for system design exercises, architecture reviews and capstone planning sessions co-mentored by industry engineering managers. Equipped with large displays, whiteboards and dedicated review rooms for client and partner reviews.

Show Less

On-Campus Labs — AI & Machine Learning

AI+&+ML+Compute+Lab

AI & ML Compute Lab

GPU workstations and shared training infrastructure for the AI/ML specialisation, with access to Google Colab, Kaggle and on-premi…

Know more

GPU workstations and shared training infrastructure for the AI/ML specialisation, with access to Google Colab, Kaggle and on-premises compute. Configured with PyTorch, TensorFlow, JAX, scikit-learn, Jupyter and the full open-source ML stack. The workhorse facility for capstone training runs and weekly model development sessions

Show Less

Applied+AI+Studio

Applied AI Studio

Co-located workspace where AI student teams sit alongside industry mentors. Live projects, real datasets, weekly review sessions w…

Know More

Co-located workspace where AI student teams sit alongside industry mentors. Live projects, real datasets, weekly review sessions with AI leaders from operating partners — the closest the campus comes to an active AI engineering floor. Tuned for hands-on work with Hugging Face, LangChain, MLflow and modern LLM development workflows.

Show Less

Computer+Vision+&+Generative+AI+Lab (1)

Computer Vision & Generative AI Lab

Imaging hardware, OCR rigs and dedicated infrastructure for vision and generative AI projects — tuned to the inspection and docume…

Know more

Imaging hardware, OCR rigs and dedicated infrastructure for vision and generative AI projects — tuned to the inspection and document-AI problems of enterprise partners. Equipped with OpenCV, YOLO, MONAI, SimpleITK and the toolchain used in computer vision and generative AI production work.

Show Less

Software, Tools and AI Platforms

SNM equips students with industry-standard tools across every phase of their work — and treats AI as a layer used daily, not a topic studied once.

AI,+machine+learning+and+generative+AI (1) (1)

AI, machine learning and generative AI

Co-located workspace where AI student teams sit alongside industry mentors. Live projects, real datasets, weekly review sessions w…

Know More

Co-located workspace where AI student teams sit alongside industry mentors. Live projects, real datasets, weekly review sessions with AI leaders from operating partners — the closest the campus comes to an active AI engineering floor. Tuned for hands-on work with Hugging Face, LangChain, MLflow and modern LLM development workflows.

Show Less

Design,+productivity+and+collaboration

Design, productivity and collaboration

Imaging hardware, OCR rigs and dedicated infrastructure for vision and generative AI projects — tuned to the inspection and docume…

Know more

Imaging hardware, OCR rigs and dedicated infrastructure for vision and generative AI projects — tuned to the inspection and document-AI problems of enterprise partners. Equipped with OpenCV, YOLO, MONAI, SimpleITK and the toolchain used in computer vision and generative AI production work.

Show Less

Scroll