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IIT Delhi | Certification in Quantum Computing & Machine Learning

Prepare for the future of Computing

Course Snapshot
  • FeeINR 125,000 + GST
  • Work Experience5 - 30 Years
  • Duration5 Months
  • Delivery MethodOnline
Course Detail

Program Overview
Quantum computing is a convergence of physics, mathematics, and programming to develop computer-based technologies centred around the principles of quantum theory. Quantum computing uses phenomena in quantum physics to create new ways of computing. It offers an ability to write programs in a completely new way. Quantum computing is made up of qubits that, unlike a classical computing bit, can be either 0 or 1, or a superposition of both 0 and 1. The power of quantum computers grows exponentially with more qubits.
Quantum machine learning is the integration of quantum algorithms within machine learning programs. It commonly refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. quantum-enhanced machine learning.

Who Should Attend
The programme is ideal for engineering graduates with proficiency in Mathematics & Programming.
● Working computer science professionals who would like hands-on experience in technologies of the future
● Young engineering graduates wishing to be a part of the exciting and evolving future of computing

Program Highlights
● 5-month, online programme for engineering graduates with proficiency in math and programming
● Comprehensive and contemporary curriculum
● 55 hours of live online teaching on weekends
● IIT Delhi Certification

Desired Candidate Profile

● Any engineering graduate with minimum 50% marks
● Understanding of concepts in linear algebra and probability
● Experience with any programming language

Course Modules

● Introduction to Quantum Computing
● Postulates of Quantum Computing
● PIntroduction to Quantum Algorithms
● Quantum Fourier Transform and Related Algorithms
● Quantum Machine Learning
● Quantum Deep Learning
● Quantum Variational Optimisation and Adiabatic Methods