Last updated on 2025-06-24
Program Overview
The Applied A.I. Solutions Development program is an innovative one-year graduate certificate offered by George Brown College. This program is designed to equip students with a comprehensive understanding of artificial intelligence (A.I.), machine learning, deep learning, and data science. By integrating knowledge from computer science, mathematics, and business, students will learn to develop solutions that can be applied across various industries. The program emphasizes a hands-on approach, ensuring that graduates are well-prepared to meet the growing demand for skilled professionals in the A.I. field.
Program Structure
The Applied A.I. Solutions Development program spans a duration of 1 year, divided into 3 semesters. The program is offered in a full-time format, with starting months in January, May, and September. Key features of the program structure include:
- Experiential Learning: Students are required to complete a mandatory co-op or a work-integrated project in the final semester.
- Hands-on Approach: The curriculum focuses on practical applications of A.I. and data science, preparing students for real-world challenges.
- Cross-Disciplinary Learning: The program merges concepts from computer science, mathematics, and business to create a well-rounded educational experience.
Students will also receive training in effective communication, enabling them to present their findings to diverse audiences, including technical experts and business stakeholders.
Featured Experiences
The Applied A.I. Solutions Development program offers several unique experiences that enhance learning and professional development:
- Mandatory Co-op: Students have the opportunity to gain practical experience through a co-op placement, allowing them to apply their skills in a professional setting.
- Work-Integrated Project: For those who may not participate in co-op, a work-integrated project provides a chance to work on real-world problems.
- Design Thinking Approach: The program incorporates design thinking methodologies to foster innovative problem-solving skills.
- Comprehensive Training: Students receive training in data visualization and presentation skills, crucial for communicating complex A.I. concepts effectively.
Career Options
Graduates of the Applied A.I. Solutions Development program can pursue a variety of career paths in Canada, including:
- Data Scientist: Analyze and interpret complex data to help organizations make informed decisions.
- Data Analyst: Utilize statistical tools to identify trends and patterns in data sets.
- Machine Learning Engineer: Design and implement machine learning models to solve specific business problems.
- Data Management Specialist: Oversee data storage and management systems to ensure data integrity and accessibility.
- Artificial Intelligence Practitioner: Develop and deploy A.I. solutions tailored to meet organizational needs.
- Full-Stack Data Scientist: Combine skills in data science, machine learning, and business analysis to provide comprehensive solutions.
These roles are critical in various sectors, including technology, finance, healthcare, and more, reflecting the growing importance of A.I. in today's job market.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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