Artificial Intelligence (AI) - Software Engineering Technician

Program overview

The Artificial Intelligence (AI) - Software Engineering Technician program at Lambton College is a dynamic two-year diploma designed to equip students with the skills necessary to build intelligent software. This program focuses on utilizing AI, LLMs, Generative AI, and ML to automate tasks and enhance decision-making across various industries. Students will gain hands-on experience through real-world projects and a capstone, developing essential skills in CI/CD pipelines, cloud-based AI infrastructure, data analytics, and ethical AI practices. The curriculum blends foundational software engineering with cutting-edge AI tools, preparing graduates for fast-paced environments in technology.

Program structure

The Artificial Intelligence (AI) - Software Engineering Technician program is structured as follows:

• Program Length: Two years
• Full-time, in-person learning experience
• Hands-on projects and a capstone project
• Focus on programming, networking, cloud computing, DevOps, cybersecurity, and project management
• Integration of AI concepts such as machine learning, data science, and natural language processing

Students will also have opportunities for collaborative learning and leadership training, ensuring they are well-prepared for the demands of the industry.

Featured Experiences

• Hands-on experience through real-world projects
• Capstone project that integrates AI into software development
• Training in CI/CD pipelines and cloud-based AI infrastructure
• Focus on ethical AI practices and data analytics
• Agile teamwork and leadership training

Career Options

Graduates of the Artificial Intelligence (AI) - Software Engineering Technician program can pursue various career opportunities in Canada, including:

• Business Intelligence Designer: Responsible for analyzing data and creating reports to help organizations make informed decisions.
• Robotics Process Analyst: Focuses on automating business processes using robotic process automation (RPA) technologies.
• AI Interaction Designer: Designs user interfaces and experiences for AI applications, ensuring usability and engagement.
• Artificial Intelligence Technologist: Develops and implements AI solutions to solve complex problems across various industries.
• Machine Learning Analyst: Analyzes data and builds predictive models to enhance business operations and decision-making.

These roles span multiple industries, including healthcare, finance, telecommunications, and education, providing graduates with a wide range of employment opportunities.

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