Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
Artificial intelligence and machine learning advances run hand in hand with the degree to which quantum computing footprint improves. Thus, it is natural to leverage machine learning capabilities with the advent of quantum computing. This Quantum Machine Learning certification course will explore the underlying principles associated with futuristic technologies.
The program on Quantum Machine Learning encompasses the advantages of machine learning once it is coupled with futuristic quantum technologies. These have the potential to provide the much-awaited advancements of this industry. Some examples include machine learning and select frameworks in Python.
This Quantum Machine Learning training program is intended to be delivered across 9 weeks along with an input of 6-8 hours per week by the participants on their own time for optimum results. The University of Toronto is the partner institution for this self-paced course. The video transcripts are in English and the students have an option to get a paid plus official certification.
The candidates who enroll in any track of the course will be able to progress at their speed. Both tracks - audit and verified may be opted for by the candidates for finishing the course. If the candidates are interested in learning for free without a certificate they may choose the audit track which is open for a limited period of access. For unlimited access, the students should switch over to the verified track by paying some fees.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 4082 | yes | University of Toronto, Toronto |
This stage applies only to the students who choose to take on the certified track, and then will have to pay the Quantum Machine Learning certification fee mentioned below:
Type of Fee | Amount in INR |
Certification Fee | Rs. 4,052 |
Work experience
Exposure to statistical mechanics, machine learning, or quantum physics is applicable for the Quantum Machine Learning certification by edX.
The Quantum Machine Learning certification course has the following elements at its core and is taught effectively throughout the program delivery:
The program on Quantum Machine Learning will benefit the following sets of people the most:
Please refer to the section below to get a sense of the enrolment process for the Quantum Machine Learning classes
Account login/creation phase
To begin with the enrolment phase, please use the “Enroll” red button at the top of the program webpage. A new tab should open up in your browser. You are required to either login into your existing edX account or create a new one. At this point, existing customers will find themselves logged in. For the rest, the on-screen pathway will guide you towards creating an account. During this process, the following information will be solicited from your side:
Track selection phase
The Quantum Machine Learning program has two distinct tracks. This second step is related to that. Both are explained in the following text:
Payment phase
The last stage is where the incumbents pay for their choice of program. Needless to say, this will apply to only those candidates who choose to run with the certification route. The following content sheds some light:
Our help database is exhaustive and does answer most of the questions. However, should you need more support, please reach out to us and we will endeavour to resolve it at the earliest
In order to gain the official certification, the participant must achieve 60% or higher in the course.
Your coding problems (12 in total) will account for 70% of your total grade.
The end-of-unit exams (4 in total) will account for 20% of your total grade.
Check-in quizzes found with videos (approximately 24 in total) will account for 10% of your total grade (you will be allowed to drop 4 of these).