Artificial Intelligence – Architecture, Design, and Implementation Ontario College Graduate Certificate program

Program Overview

This Ontario College Graduate Certificate in Artificial Intelligence equips students with the skills to design, implement, and manage AI solutions. Through a combination of online and in-person instruction, students gain expertise in machine learning, neural networks, and AI infrastructure. Graduates are prepared for entry-level positions in the growing field of AI, including roles as AI system designers, programmers, and machine learning analysts.

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:
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.
Please refer to the official program website or contact the program coordinator for the most up-to-date information.