Overview
- Nearly 45 students from BTech, MTech and PhD programmes completed the initial offering under a project-first, peer-driven approach.
- The course was co-designed and co-taught by Dr. Rinku Shah and Marvell director Abed Mohammad Kamaluddin with ongoing mentoring from Marvell engineers and architects.
- Student projects explored AI fabrics and transports, CXL-aware training and inference, distributed training and serving pipelines, in-network compute, telemetry-driven optimization, and ML-based security and observability.
- A post-course survey reported higher student confidence in reasoning about AI systems, networking fabrics and distributed machine-learning workflows.
- IIIT-Delhi and Marvell plan to expand the collaboration through joint research, advanced coursework and continued on-campus engagement, and IIIT-Delhi describes the course as India’s first of its kind.