Artificial Intelligence Graduate Certificate

Program Overview

Fleming College Toronto's Artificial Intelligence Graduate Certificate Program equips students with the skills and knowledge in machine learning, cloud computing, and data analysis. Through hands-on projects and industry-standard tools, the program prepares individuals for careers in AI-driven industries, including software engineering, data administration, and IT consulting. The program is designed for those with backgrounds in computer studies, technology, or related fields.

Program Outline

Outline:

• Semester 1
• Applied Machine Learning (COMP 647): This course focuses on fundamental and practical applications of machine learning using Python, including supervised and unsupervised learning techniques.
• Cloud Computing for AI (COMP 648): This course provides theoretical and practical training in using cloud technology and AI tools for data analysis and development.
• Introduction to Data Analysis (COMP 646): This course introduces essential data analysis methods and tools using Python, focusing on statistical analysis and visualization techniques.
• Linear Algebra and Statistics for Machine Learning (BUSN 266): This course provides the mathematical background needed for various machine learning techniques, covering concepts like matrix algebra and statistical modeling.
• Technical Project Management (BUSN 254): This multi-disciplinary course helps students develop project management skills and techniques.
• Semester 2
• AI and ML Capstone Project (APST 180): Students work through a guided project from design to development and implementation, demonstrating their combined AI and Machine Learning abilities.
• Deep Learning (COMP 650): This course delves into deep learning concepts using Python libraries, including TensorFlow.
Students gain experience implementing various deep learning architectures like convolutional neural networks and recurrent neural networks.
• Machine Vision and Image Processing (COMP 649): This course introduces image processing, pattern recognition, and object tracking, using industry-standard OpenCV library to develop applications in real-time.
• Natural Language Processing (COMP 652): Students gain a comprehensive understanding of natural language processing techniques, focusing on capabilities, limitations, and underlying algorithms used in natural language technologies.

Careers:

• Potential career paths include software engineers, data administrators, database analysts, software testers, and IT consultants.
• The program prepares students for various industries that utilize artificial intelligence technologies.

Other:

• This program is designed for individuals with computer studies, technology, engineering, analytics, mathematics, or statistics backgrounds.
• Students will have access to advanced computer labs, guest speakers, and industry networking opportunities.
• Fleming College Toronto partners with Trebas Institute to deliver this program, offering international students access to Fleming College credentials while experiencing Toronto.