Artificial Intelligence – Architecture, Design, and Implementation
Program start date | Application deadline |
2025-06-01 | - |
2025-09-01 | - |
2026-01-01 | - |
2026-06-01 | - |
Program Overview
Artificial Intelligence – Architecture, Design, and Implementation Ontario College Graduate Certificate program
Program Description
The Artificial Intelligence (AI) computing paradigm radically changes the functionality and capabilities of computer systems. This greatly increases the possibilities of what businesses can do with this exciting new technology and is causing disruption across all industry sectors. Artificial Intelligence systems can think, learn and take self-directed action in order to maximize the chance of successfully achieving a goal without having to be explicitly programmed or human intervention.
This program provides students with the necessary background to become Artificial Intelligence (AI) system designers, programmers, implementers, or machine learning analysts. With a strong focus on applied skills, students learn how to design and implement supervised, unsupervised and reinforcement learning solutions for a variety of situations and solve AI challenges for a diverse set of industries.
Advanced study in AI infrastructure, architecture, machine learning frameworks, reinforcement learning, neural networks, vision system, conversational AI and deep learning help students understand how to select, configure and apply the right technology tools to build the correct AI solution to solve a given challenge.
Admission Requirements
Ontario College Diploma, Ontario College Advanced Diploma, degree or equivalent with a focus in computer studies, technology, engineering, analytics, mathematics or statistics, or equivalent work experience, is required.
Selection Process
Applicants may be asked to submit a current resume and a letter of interest to the Program Coordinator in order to assess their prior academic and experiential learning.
Additional Information
To be successful in this program, students are required to have a Windows-based personal notebook computer prior to the start of the program that meets or exceeds the following hardware specifications:
- Intel I7, AMD A10 processor or better
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card (Can be USB)
- Wireless Network Card
- 2 USB 3.0 ports
Career Opportunities
Graduates from this program are prepared to fulfill a wide-range of entry-level roles related to Artificial Intelligence which may include Artificial Intelligence (AI) system designers, programmers, implementers, or machine learning technologists. Graduates could find themselves working independently or as a member of a team to analyze, design, enhance, and maintain AI systems.
Industry Support
Magna International Inc. is one of the world’s largest suppliers in the automotive space. It is a global mobility technology company with more than 158,000 employees – including many Georgian graduates! Magna is committed to providing Georgian students with opportunities to further their education and gain new skills.
The $1-million investment in Georgian includes a 2,200-square-foot Magna Mechatronics Lab with 17 pieces of new, cutting-edge equipment, and an award and scholarship suite for both future and current students, each valued up to $2,500.
Magna has provided hands-on learning experiences across various divisions to 133 co-op students since 2010, and is the proud of employer of 210 Georgian grads!
Program Delivery
This program is delivered via GC Flex, giving you choice and flexibility. Using technology-enabled, purpose-designed learning spaces, professors deliver lectures and labs in the classroom and simultaneously online. You can participate on campus or online during class or review course materials online later.
Course Information
14 Program Courses
Program-Specific Courses
Semester 1 courses are listed below. For a full list of courses in the program including course descriptions, view the Artificial Intelligence – Architecture, Design, and Implementation program outline.
- AIDI 1000 – Artificial Intelligence Algorithms and Mathematics
- AIDI 1001 – Conversational Artificial Intelligence
- AIDI 1002 – Machine Learning Programming
- AIDI 1003 – Machine Learning Frameworks
- AIDI 1004 – Issues and Challenges in Artificial Intelligence
- AIDI 1005 – Artificial Intelligence for Business Decision Making
- BDAT 1000 – Data Manipulation Techniques
Related Programs
- Big Data Analytics
- Mobile Application Development
- Research Analyst
- Artificial Intelligence Leadership and Management
Tuition and Fees
Visit our tuition and fees page for detailed information on the cost to attend Georgian.
Intake Information
Start date| Campus
---|---
Summer 2025| Barrie
Fall 2025| Barrie
Winter 2026| Barrie
Summer 2026| Barrie
Duration and Credential
Duration: 1 Year Credential: Ontario College Graduate Certificate
Program Code
AIDI
Delivery Method
GC Flex
Study Part-Time
Register on a course-by-course basis, paying as you go! MORE choices. We are always adding more flexible delivery programs and courses.
Recommended Course Sequence
Visit the part-time program page for more information.
Next Steps
Visit the part-time program page Apply to the part-time program
Program Outline
View the Artificial Intelligence – Architecture, Design, and Implementation program outline for more information.
Program Outline
Program Extractions: Artificial Intelligence – Architecture, Design, and Implementation Ontario College Graduate Certificate
Degree Overview:
- Description: This program equips students to become AI system designers, programmers, and machine learning analysts. It focuses on applied skills, including designing and implementing supervised, unsupervised, and reinforcement learning solutions for various industries. Students delve into AI infrastructure, architecture, machine learning frameworks, reinforcement learning, neural networks, vision systems, conversational AI, and deep learning.
- Objectives: Graduates can design, develop, and implement AI solutions, manage AI projects, effectively communicate complex technical concepts, and solve AI challenges across diverse industries.
- Program Length: 1 year
- Credential: Ontario College Graduate Certificate
Outline:
- Program Courses:
- Semester 1:
- AIDI 1000 – Artificial Intelligence Algorithms and Mathematics
- AIDI 1001 – Conversational Artificial Intelligence
- AIDI 1002 – Machine Learning Programming
- AIDI 1003 – Machine Learning Frameworks
- AIDI 1004 – Issues and Challenges in Artificial Intelligence
- AIDI 1005 – Artificial Intelligence for Business Decision Making
- BDAT 1000 – Data Manipulation Techniques
- Subsequent semesters:
- Information not readily available in the provided context. Please refer to the official program outline for details.
- Course Schedule:
- Full-time delivery: Courses are typically offered in fall, winter, and summer semesters.
- Part-time delivery: Courses are offered on a course-by-course basis, allowing flexibility for students.
- Delivery Method:
- GC Flex: Combines online and in-person instruction. Students can participate live in the classroom or online simultaneously. Recordings are also available for later review.
Assessment:
- Assessment Methods:
- Assignments
- Projects
- Exams
- Presentations
- Assessment Criteria:
- Knowledge and understanding of AI concepts
- Ability to apply AI techniques to real-world problems
- Critical thinking and problem-solving skills
- Communication and teamwork skills
Teaching:
- Teaching Methods:
- Interactive lectures
- Hands-on labs
- Case studies
- Group projects
- Faculty:
- Experienced and industry-connected professors with expertise in AI
- Unique Approach:
- Focus on practical application of AI skills
- Case-based learning approach
- Industry partnerships and guest speakers
Careers:
- Career Paths:
- AI system designers
- AI programmers
- Machine learning analysts
- AI project managers
- Data scientists
- Research scientists
- Opportunities:
- Work in various industries: healthcare, finance, manufacturing, retail, etc.
- Develop AI solutions for specific business challenges
- Contribute to the advancement of AI technology
- Outcomes:
- Graduates are prepared for entry-level positions in the rapidly growing field of AI
- Program prepares students for industry certifications and further education
Other:
- Hardware Requirements: Students need a Windows-based notebook computer with specific hardware specifications.
- Industry Support: Program is supported by Magna International Inc., a leading automotive supplier.
- Part-time Option: Students can choose to study part-time and pay for courses as they go.
Note:
This extraction is based on the information provided in the context. Please refer to the official program website or contact the program coordinator for the most up-to-date information.
Entry Requirements:
Selection Process:
Applicants may be asked to submit a current resume and a letter of interest to the Program Coordinator in order to assess their prior academic and experiential learning.
Additional Information:
- To be successful in this program, students are required to have a Windows-based personal notebook computer prior to the start of the program that meets or exceeds the following hardware specifications:
- Intel I7, AMD A10 processor or better
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card (Can be USB)
- Wireless Network Card
- 2 USB 3.0 ports ## Language Proficiency Requirements: