Applied Artificial Intelligence & Machine Learning (Optional Co-op)

Conestoga College is a well-regarded public college based in Kitchener, Ontario, offering more than 200 programs across fields such as engineering, business, health sciences, information technology, media and design. Established in 1967, the college serves roughly 16,000 full-time students and around 1,800 international students, and delivers applied training through multiple campuses across the Waterloo Region. Conestoga emphasizes career-focused education designed to equip students with job-ready skills.

The college is known for hands-on learning, modern labs and close ties to local industry, which support co-op placements, internships and employer-led projects. Program options include certificates, diplomas, degrees and postgraduate credentials, allowing clear progression routes for students seeking technical expertise or academic advancement. Strong employer partnerships and a focus on experiential learning help graduates transition smoothly into regional and national job markets.

International applicants can expect comprehensive admission guidance, orientation programs and student support services that address academic, language and settlement needs. Conestoga’s career services and alumni network aid job search and professional development, while campus life offers clubs and activities to build community. Prospective students should explore program-specific entry requirements, co-op options and scholarship opportunities to plan a practical and rewarding pathway.

The Applied Artificial Intelligence & Machine Learning program at Conestoga College is a non-degree certificate for students who want to design successful technology stacks for industry challenges. This two-semester program in Canada helps students advance their software development skills with real-world projects. The main advantage of this program is that it combines a basis in artificial intelligence algorithms and computer science.

The curriculum includes courses like Artificial Intelligence Algorithms and Mathematics, Foundations of Machine Learning Frameworks, and Machine Learning Programming. Students will develop skills in designing prototype solutions, evaluating the effectiveness of Artificial Intelligence and Machine Learning algorithms, and communicating effectively with stakeholders. The program also includes hands-on components like projects in machine learning and applications in industry 4.0.

After completing this program, students can pursue careers as Machine Learning Engineers, Artificial Intelligence Software Developers, Data Scientists, Business Intelligence Analysts, or Software Developers. They can work in various industries, including technology, finance, and healthcare, for employers like Google, Microsoft, or IBM.