Artificial Intelligence - Software Engineering Technology (Fast-Track) (Optional Co-op)

Program Overview

The Artificial Intelligence - Software Engineering Technology (Fast-Track) program at Centennial College is designed to equip students with cutting-edge skills in AI application development and software engineering. This program emphasizes the integration of modern software design with AI frameworks, preparing students for the rapidly evolving tech landscape. With a focus on real-world applications, students will engage in a capstone project that allows them to apply their knowledge in practical scenarios. The program aligns with industry trends, ensuring that graduates are well-prepared to meet the demands of the job market, particularly as AI technologies continue to grow in significance.

Program Structure

The Artificial Intelligence - Software Engineering Technology (Fast-Track) program is structured to be completed in 2 years over 4 semesters. This fast-track option allows students to dive deep into the world of AI and software engineering in a condensed timeframe. The program is delivered in a hybrid format, combining both in-person and online learning experiences. Additionally, students have the option to participate in a co-op program, which provides valuable work experience alongside their studies. This hands-on approach ensures that students not only learn theoretical concepts but also gain practical skills that are essential in the tech industry.

Featured Experiences

• Capstone project that integrates technical, systems, and business skills to create AI-enhanced software solutions.
• Opportunity to participate in a co-op program, allowing students to gain real-world experience in the field.
• Access to modern software design and AI frameworks, including machine learning and data visualization.
• Engagement with industry-relevant technologies and practices, ensuring alignment with current market demands.
• Project-based learning that emphasizes practical application of skills in real-world scenarios.

Career Options

• AI Developer: Design and implement AI solutions for various applications, enhancing user experiences and automating processes.
• Software Engineer: Develop and maintain software systems, ensuring functionality and performance meet user needs.
• Machine Learning Engineer: Focus on creating algorithms that enable machines to learn from data and improve over time.
• Data Analytics Developer: Analyze and interpret complex data sets to inform business decisions and strategies.
• Software Tester: Evaluate software applications for bugs and performance issues, ensuring quality and reliability before release.
• Mobile Application Developer: Create and optimize applications for mobile devices, focusing on user interface and experience.
• Data Analyst: Utilize data analysis tools to extract insights and support decision-making processes within organizations.
• Web Application Developer: Build and maintain web applications, ensuring they are user-friendly and efficient.
• Systems Analyst: Assess and improve IT systems to enhance business operations and efficiency.
• Data Science Developer: Apply statistical analysis and machine learning techniques to solve complex data problems.

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