Teaching AI & ML Across the Curriculum
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.
Faculty development programmes built with practitioners: current tools, ready-to-use lab material and teaching strategies your department can adopt the following semester.
4 programmes · every agenda adapts to your syllabus and lab setup
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.
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.
Yes. Every programme listed here is a starting point. We adjust the agenda, depth, duration and examples to your syllabus, the students' year of study and your lab setup, and confirm the final agenda in the proposal.
Every participant who attends receives a Veloxara participation certificate for workshops or a completion certificate for FDPs. The institution also receives attendance records and a participation and feedback report.
We quote per batch rather than per head. The quote depends on the programme, duration, batch size, delivery mode and any hardware kits involved, and is fixed in the proposal before you confirm.
Both. Most programmes run on campus, online or in a hybrid format. Hardware-heavy workshops such as IoT Hands-On are on campus only. Each programme page lists the modes it supports.
Usually a computer lab or seminar hall, a projector, reliable internet and power at the benches. Each programme page lists its specific requirements, and we confirm them with your lab in-charge before the dates are fixed.