Applied A.I. Solutions Development Program

  • Program Name:
    Applied A.I. Solutions Development
  • Code: T431
  • Credential:
    Ontario College Graduate Certificate
  • Method of Study:
  • Duration:
    1 year (3 semesters)
  • Centre:
  • School:
  • Location: Casa Loma Campus
  • Starting Months: January
  • Domestic Tuition:
    $7,253.00* ‡
  • Experiential Learning:

    Mandatory Co-op or Work Integrated Learning

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Leadership Claims

The Applied A.I. Solutions Development program is one of the first of its kind to be offered by a Canadian college. Developed by George Brown College's School of Computer Technology, it recognizes the industry demand for Full Stack Data Scientists who are qualified to fill the roles of Data Scientist, Data Analyst, Data Engineer or Machine Learning Engineer as needed, and also apply business analysis skills to effectively communicate how Artificial Intelligence/Machine Learning/Deep Learning can be used in business models.

Program Overview

This exciting new program instills students with knowledge that spans the fields of Computer Science, Mathematics and Business to prepare them to deliver innovative Artificial Intelligence (A.I.), Machine Learning, Deep Learning and Data Science/Data Analytics solutions for an ever-expanding range of industry applications.

The program will focus on combining the three disciplines (Computer Science, Math, Business) with a design-thinking approach to produce Machine Learning/Deep Learning models and intuitive dashboards to communicate results and findings. Students are also given preparatory training and simulated experiences in tailoring their presentations to various target audiences including technical, business and investors.

Full Description

As we advance further into this increasingly digital world, Artificial Intelligence and Data Science will revolutionize most industries by optimizing business processes and automating decision-making in many white-collar jobs. The Applied A.I. Solutions Development program will instill graduates with the skills needed to provide existing businesses and emerging startups with the tools required to thrive in the digital revolution.

This three-semester graduate certificate program uses a hands-on, applied approach to the field of A.I., giving students the broad range of skills needed to excel in this rapidly growing industry.

It teaches the development and application of Machine Learning/Deep Learning models and provides a fundamental understanding of the underlying mathematical algorithms that power them. This combination of knowledge and skills will allow graduates to identify and select appropriate algorithms for a given use, build and fine-tune models, and visualize and effectively communicate the resulting data, thereby bridging the traditional roles of Data Scientist, Machine Learning Engineer and Business Translator.

Your Field Education Options

To be eligible for co-op, a student must complete all Semester 1 and Semester 2 courses. As well, an overall GPA of 3.0 must be achieved.

During the third semester of the program, students may choose whether to apply for a Co-op position or take a Work Integrated Learning course that includes an industry-sponsored project.

Program Learning Outcomes

The graduate has reliably demonstrated the ability to:

  1. Identify, evaluate and manage relevant data sources to support data analytics and to meet organizational needs.
  2. Recommend different systems, architectures and data storage technologies to support data-driven solutions.
  3. Develop and deploy complete Machine Learning/Deep Learning production systems for a variety of industry use cases that meet the needs of a specific operational/business process.
  4. Assess and apply appropriate mathematical models, algorithms, tools and frameworks to develop A.I.-enabled, industry-specific solutions.
  5. Design and present A.I. solutions effectively to stakeholders through the use of data visualizations.
  6. Apply legal, ethical, privacy and security-related standards and considerations in data science projects in a manner that protects privacy and confidentiality, addresses data bias and transparency, and ensures data integrity.
  7. Implement artificial intelligence systems on time and budget using best practices and strategies in design thinking, project management and lifecycle management.
  8. Design artificial intelligence (A.I.) systems through the application of systematic approaches and methodologies to meet growing organizational needs.


Required Courses



Code Course name
AASD 4000 Machine Learning I
AASD 4001 Mathematical Concepts for Machine Learning
AASD 4002 Foundations of Data Management
AASD 4003 Ethics and Law for Data Science
AASD 4004 Machine Learning II
AASD 4005 Advanced Mathematical Concepts for Machine Learning
AASD 4006 Data Visualization Techniques
AASD 4007 Design Thinking for AI Solutions


Code Course name
AASD 4010 Deep Learning I
AASD 4011 Mathematical Concepts for Deep Learning
AASD 4012 Big Data Tools and Techniques
AASD 4013 Agile Project Management Methodologies
AASD 4014 Deep Learning II
AASD 4015 Advanced Mathematical Concepts for Deep Learning
AASD 4016 Full Stack Data Science Systems
AASD 4017 Presenting Data Science-driven Solutions
AASD 4018 Work Term Preparation


Code Course name
TCOP 4020 Co-op
AASD 4020 Work Integrated Project

Career & Postgraduate Study Opportunities

Your Career

Graduates of this program may apply for positions that include:

  • Data Scientist
  • Data Analyst
  • Data Management Specialist
  • Machine Learning Engineer
  • Full-Stack Data Scientist (who is qualified to fill all of the above roles)
Educational Pathways

As this is a new program, we are currently exploring potential pathways to additional programs. Pathways for incoming students may be developed with programs that expose students to code development, algebra, statistics, probability and calculus, including:

Future Study Options

As this is a new program, we are currently exploring potential pathways to additional programs. Graduates of this program may qualify to pursue further studies in the following areas:

Tuition and Fees

Domestic Tuition

$7,253.00* ‡
Additional Costs

*Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of the program starting in Fall 2020. Fees are subject to change for programs starting in Fall 2021 and at later dates.

‡ Semester 3, fees will consist of either a $500.00 fee for Co-op Placement or a variable fee for the Work Integrated Project, neither of which are included in the total listed above.

International Students

Visit the International Fees and Related Costs page for more information. 

Financial Assistance

This program is not eligible for OSAP funding.

Disclaimer: The information contained in this website is subject to change without notice. It should not be viewed as a representation, offer or warranty. Students are responsible for verifying George Brown College fee requirements.

How to Qualify and Apply

Admission Requirements

Diploma or Bachelor's Degree in Mathematics, Business, Computer Science, Economics, Engineering or Science


Applicants with a Diploma or Bachelor's degree in an unrelated field (not listed above) are required to have completed course work and gained experience in the following subject areas:

  • Mathematics (Linear Algebra, Calculus, Statistics and Probability)
  • Python programming language

Note: This will be determined through a review of transcripts, resumé, and an online interview (if applicable)

English Language Proficiency

Applicants with international transcripts who do not provide English language proficiency test results must test at the College level in the George Brown College English assessment to be considered for admission.

International Students

Visit the International Admissions page for more information regarding country specific admission requirements.  

How to Apply

Domestic students should apply through Ontario Colleges.

International Students

Visit the How to Apply page for more information on how and when to apply. 

International students should apply through the George Brown College Online Application System.

Contact Us

School of Computer Technology

Phone: 416-415-5000, ext. 4287


The office hours are:

Monday – Thursday: 8 a.m. – 7 p.m.

Friday: 8 a.m. – 4 p.m.

Program Co-ordinator: Ceit Butler


Phone: 416-415-5000, ext. 3785

For more information about George Brown College, you may also call the Contact Centre at 416-415-2000 (TTY 1-877-515-5559) or long distance 1-800-265-2002.

International Students

Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page

Visit Our Campus

The Applied A.I. Solutions Development program is offered through our School of Computer Technology from our Casa Loma Campus at 146 Kendal Avenue. Sign up for an Information Session or Campus Tour to learn more about George Brown College and the program. You can also explore our virtual tour.

Sign up and learn more about your options, our programs, and life at George Brown.