Get updates on Eligibility, Admission, Placements Fees Structure
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 |
|---|---|---|
| USD 189 | 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 $189
- 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) | $189 |
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
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
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)
Only candidates who have purchased the "verified certificate" experience will receive the course certificate.
It will take the candidates around five weeks to complete the Deep Learning Essentials online course.
Classes for this program will be held for 4-6 hours per week.
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.
The Deep Learning Essentials program by edX is a 100% online course.