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Overview
In this course, you'll learn the fundamentals of neural networks, including adjusting for different variables, training a neural network with backpropagation, and preparing images and text data for modelling.
Through demonstrations and applied learning, you'll explore how to build a complete neural network architecture to solve different types of problems and improve a neural network's performance.
You'll also learn about proper techniques and best practices in training and validating clustering models through unsupervised learning. Additionally, you'll work through the complete process of solving a clustering problem and learn how to evaluate and improve the performance of clustering algorithms.
You must complete DATA 024 - Supervised Learning - Regression, Univariate, and Multivariate Time Series before you can register for this course.
Upon successful completion of this course, you'll know how to:
- prepare data (image or text) for modelling
- build deep learning models to solve problems for an organization
- evaluate the performance of deep learning model
- build clustering models designed to solve problems for an organization
- evaluate the performance of unsupervised learning models.
Upcoming dates
Select an available section and add it to your cart. When you're ready, proceed to check out to sign into your student account and complete your registration.
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Registration for this course closes seven days prior to the start date.
You will complete 24 hours of online, independent study supplemented with six hours of scheduled online learning sessions with the instructor and other students. You must attend all scheduled sessions.
After you've completed this course
Upon successful completion of this non-credit course, you’ll receive an electronic copy of your official transcript. You’ll also be able to self-print a proof of completion document from your Continuing Education student account.
Micro-credential
Aligned to current industry standards, SAIT’s micro-credentials develop practical, real-world skills and include competency-based testing. Earning a SAIT micro-credential demonstrates to employers you have the required competencies — both skills and knowledge — to get the job done.
Students who successfully complete this course with a final grade of A- (80%) or higher will earn a micro-credential and receive a shareable digital badge.
Costs
Textbook and reading list
All required course materials are included in your tuition fees.
Technology
To be successful in this course, you'll need:
- Access to your own computer or laptop with standard hardware/software requirements.
- Internet access
A functional webcam and microphone are recommended to allow for a more collaborative learning experience.
Financial support
Financial opportunities are available to help pay for your course fees. Learn more about how to reduce your education or training costs with available awards, bursaries, loans and grants including the Canada Alberta Job Grant.
Applicable certificates
This course applies to the following certificate programs:
- Certification type
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Certificate of Completion
Train your team
Interested in group training opportunities for this course? Tell us about your organization's needs, and one of our training consultants will contact you within one business day.
Oki, Âba wathtech, Danit'ada, Tawnshi, Hello.
SAIT is located on the traditional territories of the Niitsitapi (Blackfoot) and the people of Treaty 7 which includes the Siksika, the Piikani, the Kainai, the Tsuut’ina and the Îyârhe Nakoda of Bearspaw, Chiniki and Goodstoney.
We are situated in an area the Blackfoot tribes traditionally called Moh’kinsstis, where the Bow River meets the Elbow River. We now call it the city of Calgary, which is also home to the Métis Nation of Alberta.