This course will help the participants to gain adequate knowledge on the state of the art of IoT, its application and important implementation issues. You will also get hands-on exposure to various IoT hardware platforms. The proposed FDP provides an opportunity to discuss and address the experimental, theoretical work and methods in solving problems.
The FDP will help exchange and cross-fertilize their ideas, in the fields of Deep Learning and Machine Learning. Project-oriented implementation to gain complete knowledge of a specific application.
- Enhanced knowledge of fundamentals and advanced topics for Teaching and Research.
- Networking with the people from premier institutions from India and abroad.
- Not only theoretical concepts but also the practical understanding of the concepts of IoT.
- Visiting state-of-the-art research facilities.
- The program is split into lectures and labs/hands-on sessions.
- Hands-on experience on basic and advanced-level topics.
- Interaction & learning with experts from academia & industry.
- Certificates to participants by E&ICT Academy IIT Roorkee.
- Introduction to IoT, history, real-life applications, prerequisites of IoT, additional components of IoT.
- Basics of Machine Learning, various types of Machine Learning, application of Machine Learning, various algorithms used in Machine Learning.
- Working with Modules, Train Deep Learning techniques to perform image classification tasks, hands-on practice for all participants with working on a project using ML.
- Mini project(s) practical implementation.
Who can Attend?
Program is open to faculty members/ research scholars/ PG students from colleges/ universities and industry personnel working in the concerned/allied discipline.
- Faculty members: ₹ 500/-
- Research scholars: ₹ 1000/-
- Persons from Industry: ₹ 1500/-
Food and Accommodation will be available on a self-paid basis. No travel allowance will be provided.
- Interested candidates can register online by clicking here.
- The last date to register is December 6, 2019.
Phone Number: +91-1332-28 6457
Email ID: firstname.lastname@example.org