The Indian Institute of Technology (IIT) Mandi is conducting a six-day weekend workshop on Deep Learning Crash Course (ADLCC 2021). The course is targeted towards executives as well as working professionals and will be conducted between 3 July and 18 July. The crash course is organised by IIT Mandi iHub in partnership with HCI Foundation. The workshop will cover Artificial Intelligence and Machine Learning techniques in detail and learners will get to be part of extensive hands-on tutorial sessions.
Interested candidates can visit the official website of IIT Mandi to register. The workshop will only have a limited batch of participants and a first come – first serve basis will be used to shortlist the candidates.
The workshop will be conducted from 9 AM to 1 PM and the lab sessions from 2 PM to 6 PM, every weekend. Participants will be assessed at the end of the workshop, and on the basis of the assessment, certificates will be awarded to participants. The workshop can be a gateway for a research internship opportunity at the iHub and IIT Mandi.
Some of the key points that will be covered in this crash course include the basics of machine learning and neural networks, convolutional neural networks, object localisation and detection, autoencoders and variational autoencoder, generative adversarial networks, recurrent neural network and long short-term memory, and more.
Speaking about the workshop, Dr. Aditya Nigam, Workshop Coordinator, and Assistant Professor, School of Computing and Electrical Engineering, IIT Mandi stated, “This workshop will be the key to enter the mystic world of AI/ML. Extensive learning has been planned through comprehensive sessions organized by various experts. Most importantly the specially designed hand-on sessions will be a boon to completely novice learners. We hope that this workshop will effectively democratize AI/ML Learning.”
Dr. Varun Dutt, Key speaker at ADLCC 2021, and Associate Professor, School of Computing and Electrical Engineering, IIT Mandi said, “The current workshop would provide students, academics, and industry personnel hands-on sessions on AI/ML topics that span a number of domains, including the human-computer interaction area.”