Graduate Certificate - Artificial Intelligence With Machine Learning (AI511)

Program Overview

Humber's Artificial Intelligence with Machine Learning graduate certificate is tailored to meet the increasing demand for skilled professionals in this rapidly evolving field. This program is designed for individuals with a background in computer programming, software development, or computer science. Students will delve into the core principles of Artificial Intelligence (AI) and Machine Learning (ML), applying these concepts to various practical applications such as natural language processing, image processing, and computer vision. The curriculum emphasizes not only technical skills but also the importance of understanding regulations, ethics, and project management. A key component of the program is the industry-supervised capstone project, where students tackle real-world challenges, showcasing their acquired skills at an exhibition event attended by industry partners and community leaders.

Program Structure

The Artificial Intelligence with Machine Learning program spans 2 semesters, providing a comprehensive learning experience that combines theoretical knowledge with practical application. The program is structured as follows:

• Program Length: 2 semesters
• Start Dates: January, May, September
• Delivery Options:
  • In-Person
  • Online Asynchronous
  • Online Synchronous
  • Hybrid
• Work-Integrated Learning:
  • Mandatory Co-op
  • Optional Co-op Stream
  • Optional Work Placement

This structure allows students to tailor their learning experience according to their needs and preferences, ensuring they gain the necessary skills to excel in the field of AI and ML.

Featured Experiences

The Artificial Intelligence with Machine Learning program offers a variety of unique experiences that enhance learning and professional development:

• Capstone Project: In the final semester, students engage in an industry-supervised capstone project, applying their knowledge to solve real-world problems.
• Networking Opportunities: Students have the chance to connect with industry professionals through guest speakers and networking events.
• Applied Research: Collaborations with industry partners provide hands-on experience and exposure to current industry practices.
• Field Experiences: Opportunities to engage in intensive experiences related to their field of study, which may be paid or unpaid.
• Professional Practicum: Students gain practice-based experience under the supervision of experienced professionals.

These experiences are designed to prepare students for successful careers in the AI and ML sectors, equipping them with both practical skills and valuable industry connections.

Career Options

Graduates of the Artificial Intelligence with Machine Learning program can explore a variety of career opportunities in Canada, including:

• Applications Analyst: Responsible for analyzing and improving software applications to meet business needs.
• Artificial Intelligence Analyst: Focuses on developing and implementing AI solutions to enhance business processes.
• Machine Learning Engineer: Designs and builds machine learning models to solve complex problems and improve decision-making.
• Data Scientist: Utilizes statistical methods and machine learning techniques to analyze and interpret complex data sets.
• Business Analyst: Works with stakeholders to identify business needs and develop AI-driven solutions to enhance operational efficiency.

These roles reflect the diverse applications of AI and ML across various sectors, highlighting the program's relevance in today's job market.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.