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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Deep Learning Essentials program by edX will help candidates discover the issues of discrimination and bias in Machine Learning and gain valuable insights regarding the subject. They will become adept at performing tasks like signal processing, computer vision, robotics, sequential decision-making, and natural language processing.

Besides, the University of Montreal offers the Deep Learning Essentials training which is designed by IVADO, a hub of scientific and economic data science and Mila. The scientific director of this course is Yoshua Bengio, a reputed expert in artificial intelligence and a pioneer in Deep Learning, who is also a professor at the University of Montreal.

Rife with video tutorials, tests, and assignments, the Deep Learning Essentials certification course also provides diverse learning tools to help candidates become adept in deep learning's fundamental concepts and methods.

On successful course completion, candidates can also secure a verified certificate from edX to acknowledge their newly acquired knowledge in the field. The candidates may choose from any one of the tracks available namely verified and audit to complete the programme. Both the tracks are self-paced but during the audit track, the candidates shall receive limited period access to the course. On the other hand, the verified track will offer unlimited time for accessing the course.

The Highlights

Video lectures
Video transcript in English
100% online course
Pre-recorded tutorials
Offered by the University of Montreal
Course duration- Five weeks
Verified certificate
Intermediate-level course
Practical sessions
Self-paced learning with limited audit track access

Programme Offerings

Verified certificate
online learning
video tutorials
Subtitles available in English
assignments
tests
Five-Week Course

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 15734	yes	University of Montreal, Montreal

Candidates can access the Deep Learning Essentials certification syllabus free of cost.
To avail of the course certificate, candidates must pay a certification fee of Rs15,607 .
They can pay using credit or debit cards (Visa cards, Master cards, or American Express cards), or through PayPal.

Deep Learning Essentials fee structure

Course	Fee
Deep Learning Essentials (Audit only)	Free
Deep Learning Essentials (with certificate)	Rs 15,734

Eligibility Criteria

Candidates will be eligible to participate in the Deep Learning Essentials online course if they have basic programming knowledge, preferably in Python. They must also have basic knowledge in mathematics, especially in linear algebra and statistics, and a background in science for a smooth learning experience.

What you will learn

Problem Solving AbilityMachine learning

The Deep Learning Essentials syllabus will cover key deep learning concepts such as:

Terminologies used in Deep Learning
Basic concepts of Deep Learning
Solving different types of problems with different neural networks
Deep Learning libraries
Machine learning and its tools
Natural Language processing concepts
Sequence to sequence models in ML
CNN or Convolutional Neural Networks and CNN architectures

Who it is for

Scientist

The Deep Learning Essentials program by edX is intended for academics, professionals, or scientists with basic knowledge in programming and mathematics.

Admission Details

Open the Deep Learning Essentials certification course webpage by clicking on the following link – https://www.edX.org/course/deep-learning-essentials.
Then, create a new EdX learning account if you don't have one.
Select the “Register Now” tab to start the registration process.
Choose one of the two available enrolment options and click on the “Enrol Now” tab to complete enrolment.
If you want to audit this program, select the “Audit This Course” option and proceed with the course.
If you want to be eligible for certification, pay the certification fee using your preferred mode of payment.

Application Details

No application form has to be filled while applying for the Deep Learning Essentials program by EdX. Candidates only need to create an account and register with EdX for enrolment.

The Syllabus

Introduction to machine learning
Machine learning tools

Modular Approaches
Backpropagation
Optimization

Introduction to CNN
CNN Architectures

Sequence to Sequence Models
Concepts in Natural Language Processing

Differences of Fairness
Fairness in Pre- In- and Post-Processing

Instructors

University of Montreal, Montreal Frequently Asked Questions (FAQ's)

1: Will I receive a certificate after completion of this course?

Only candidates who have purchased the "verified certificate" experience will receive the course certificate.

2: How long will it take to complete this course?

It will take the candidates around five weeks to complete the Deep Learning Essentials online course.

3: Will classes be held every week?

Classes for this program will be held for 4-6 hours per week.

4: Will this course be beneficial for my career?

If you complete this course successfully, it will give you tangible career benefits. The verified certificate of achievement may be shared on the candidate’s LinkedIn profile or their CV or resume as an official credential.

5: Will the course be online or offline?

The Deep Learning Essentials program by edX is a 100% online course.