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Overview
Gain insight into the operationalization of machine learning (ML) solutions and engage in practical, hands-on learning to discover the best practices for constructing ethical AI solutions.
This course teaches you to recognize and understand the framework for managing models, documentation, explainability and reproducibility. You'll deploy models as microservices and integrate them into end-user applications, providing you with experience developing models for real-world scenarios in a production environment.
Finally, with a focus on how end-users consume data, you will learn to present scored data through an interactive dashboard.
If you're interested in coding, there is an optional component that uses Python to build, assess, and deploy ML models.
You must complete DATA 025 - Deep Learning and Unsupervised Learning before you can register for this course.
Upon completing this course, you will know how to:
- publish ML models
- deploy ML models as microservices
- integrate deployed microservices/API models into an end-user application
- build an interactive dashboard on scored data.
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.
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:

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.

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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.