Online or onsite, instructor-led live Machine Vision (MV) training courses demonstrate through interactive discussion and hands-on practice the fundamentals and applications of Machine Vision.
Machine Vision training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Bangalore onsite live Machine Vision trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bangalore, UB City - Classroom
UB Tower, UB City, 24, Vittal Mallya Road, Shanthala Nagar, Bengaluru,Sampangi Rama Nagar, Bangalore, india, 560001
Our classroom is located in UB Tower - one of the four beautiful towers in UB City. Being centrally located in the CBD (Ce...
Our classroom is located in UB Tower - one of the four beautiful towers in UB City. Being centrally located in the CBD (Central Business District), on the corner of Kasturba road and Vittal Mallya Road, it is just 1.8 km away from M.G. Road - Brigade road junction.
Details about Classroom
All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
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