Applied A.I. Solutions Development Program (Postgraduate) (T431)

Program Description

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 you with knowledge that spans the fields of computer science, mathematics and business to prepare you 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. As a student in this program, you 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. As a student in the Applied A.I. Solutions Development program, you will gain 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 you 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 you 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.

Technology Requirements

This program requires students to have access to a personal computer with the following specifications: 

  • 8 GB minimum (16 GB RAM recommended0 
  • 256 GB SSD Hard Drive (500+ GB is optimal) 
  • Quad-core i5/i7 2.4GHz or better 
  • Webcam

Your Field Education Options

In semester 3, students complete a Work Integrated Project, or qualified students are eligible for co-op. Learn more about how to qualify, apply, and important dates for co-op on the Centre for Arts, Design & Information Technology Experiential Learning page.

Career & Postgraduate Study Opportunities

Career Options

Graduates of this program may apply for positions that include:

  • data scientist
  • data analyst
  • data management specialist
  • machine-learning engineer
  • machine-learning technologist
  • artificial intelligence practitioner
  • full-stack data scientist (who is qualified to fill all of the above roles)

Educational Pathways

Pathways for incoming students may be developed with programs that expose students to code development, algebra, statistics, probability and calculus, including:

  • G102 Graphic Design
  • G113 Interaction Design
  • G301 Honours Bachelor of Digital Experience Design
  • T147 Computer Systems Technology
  • T163 Game – Programming
  • T175 Blockchain Development
  • T177 Computer Programming and Analysis
  • T405 Information Systems Business Analysis Program (with Experiential Learning Capstone)
  • T430 Mobile Application Development and Strategy
  • T445 Cloud Computing Technologies Program (Postgraduate)
  • computer science (university level)
  • computer engineering (university level)

Alumni Impact

We are immensely proud of the contributions of our alumni in Toronto and around the globe.

From Michelin-starred restaurants to major construction, entertainment, community and financial organizations, our graduates are truly making an impact across a range of industries.

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