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.
Faculty teaching cloud computing, distributed systems, networks or DevOps electives
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.
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.