For faculty who supervise student projects: how to scope a project so it finishes, run review checkpoints that catch problems early, and help strong work move toward a paper, patent filing or product.
Project guides and coordinators for mini, major and capstone projects
Adjusted to your syllabus, batch and lab setup before the dates are fixed.
A working programme for faculty who teach or will soon teach AI and ML: core concepts refreshed through labs, then turned into lab exercises, assignments and assessments ready for the coming semester.
Practical OBE for technical courses: writing measurable course outcomes, mapping them to assessments, and using simple digital tools to collect and report attainment evidence.
Faculty work through the cloud labs they will later run with students — compute, storage, networking, containers and CI — and leave with a semester-ready lab plan.