Delivery options for domesticinternational students
On-Campus Day* - Your course activity is done in-person Monday - Friday, before 6 PM.
On-Campus Evening/Weekend - Your course activity is done in person on weekdays from 6 PM or later, or Saturdays and Sundays.
Online Day* - Your course activity is done online Monday - Friday, before 6 PM.
Online Evening/Weekend - Your course activity is done online on weekdays from 6 PM or later, or Saturdays and Sundays.
Online Flexible Delivery - Your course activity is not scheduled and therefore you can determine when to do the coursework.
Blended Delivery - Both On-Campus and Online - Some of your coursework will be in-person, on-campus and some will be done online.
* There may be circumstances that require some day delivery of classes to be scheduled into the evenings.
Please note due to the COVID-19 pandemic, these delivery options may shift from term to term. Please consult your program for details on delivery options.
Estimated program length is based on the recommended course load per semester as outlined in the Courses tab.
Actual program length will vary based on the number of courses/credits successfully completed per semester.
The world generates 2.5 quintillion bytes of data every day. Companies across all industries need people like you to use their data to make better, faster decisions and gain a competitive advantage. Using Machine Learning and Artificial Intelligence techniques, you can transform organizations from being reactive to proactive — empowering them to make complex decisions in real-time.
Data in the right hands can help predict and shape the future. This unique 12-week, the day-time program is designed for individuals with a growth mindset looking to learn essential and technical skills that make things better, more efficient, and easier. You’ll walk away with an understanding of how to use Machine Learning (ML) and Artificial Intelligence (AI) to solve problems, leverage opportunities and be able to build a basic AI scenario.
From healthcare to education to manufacturing, Applied Machine Learning will open career pathways across a wide range of industries. This course is perfect for professionals with domain knowledge in accounting, geology, engineering or analytics management, software engineers, data or business analysts, and recent graduates with a bachelor’s or master’s degree.
Don’t know how to code? Don’t sweat it. The world is moving toward no-coding and automated ML/AI, so new generations and professionals can be enlightened with advanced technologies to apply AI in everyday life — with or without the ability to code.
This 12-week program will give you the technical skills needed to tackle challenging problems with AI. Delivered in partnership with InceptionU and Braintoy, you will learn:
Data (mining, analytics, manipulation, etc.)
Supervised and unsupervised learning
Algorithms (Neural Networks, SVM, XGboost, etc.)
Development (Python) and more.
Problem setting and solving
Executive functioning and cognitive skills
Data storytelling and communication.
Working on projects in an agile way
Collaboration, networking, communication, and presentation skills
Ability to define and execute a machine learning project that supports business priorities.
As with all DX Talent Hub programs, the Digital Transformation Bootcamp – Applied Machine Learning has been developed by working closely with industry and education partners. We are proud to deliver the Applied Machine Learning program in partnership with Braintoy.
Tuition and funding
The Applied Machine Learning Bootcamp course fee is $4,500.
Funding may be available to SAIT alumni – please contact us to learn more about funding options.
This program is best suited to applicants with certain skills and a growth mindset. See admission requirements to learn more.
Applications for Spring 2022 are accepted until Friday, April 22, 2022.
May 2, 2022
The application deadline for Spring 2022 is Friday, April 22, 2022.
This program is best suited to applicants with the following skills and mindset:
A mid-career worker with domain expertise
Digitally literate and comfortable with technology
Can manipulate data in spreadsheets
Understands basic statistics
Open to change and learning
Interested in Artificial Intelligence
Proof of English proficiency required
No coding or programming experience needed
The first step is to complete the online application form and include a copy of your current resume.
Our team will review your application within the next business day, and one of our Talent and Career Specialists will contact you to follow up. Admission will be extended on a first-qualified, first-offered basis until the program is full.
Delivery and support
This 12-week program is offered during daytime hours, Monday to Friday.
This is a 12-week immersive, hands-on program. Students should expect approximately 30 hours of project work each week.
Works times vary week to week and attendee to attendee.
Full-time, day-time delivery. Students must be available for the courses at their scheduled time.
Becoming a Machine Learning professional is an attainable goal. For those looking for work, our career services team provides support to help you find a job, interview and position yourself as a key team member. We’ll provide:
Awareness of potential roles and opportunities after completing this program and additional skills needed to pursue other complementary/specialized roles.
Strategies and tactics to search for and connect with relevant employment opportunities.
Resume writing, interviewing, and personal branding
Creation of a personal portfolio of work demonstrating skills in program competencies.
Networking (guest speakers, panel discussions, industry events, industry projects)
We’re here to help you from the start!
Our team of Talent and Career Specialists will work with you to find the right program and help you through the application process. To begin, connect with us and an advisor will contact you within the next business day.