AI for Marketing
7 weeks –
Overview
Learners explore the use of artificial intelligence in marketing, including market research, audience targeting, content creation and distribution, campaign analytics, personalization, customer engagement, and predictive marketing strategies. Through demonstrations, case studies, applied exercises, sample marketing plans, and collaborative problem-solving, students develop skills in selecting and applying AI tools to improve marketing performance. The course guides learners to examine both the technical and strategic aspects of AI, from understanding AI-driven decision-making to ethical considerations in marketing and culminates in a final project where students integrate AI tools to address a real-world marketing challenge and optimize business outcomes.
Admission Requirements
Admission Requirements
You may enroll in a Continuing Education course at Canadore College if you are 19 years of age or older or if you have earned an Ontario Secondary School Diploma/Ontario Secondary School Graduation Diploma or equivalent.
Registration
Registration
We recommend that you use a computer to complete the online registration process as you may encounter an error if using a device such as a phone or tablet. If you have already encountered an error when registering, please contact us:
|
Admissions Office |
Continuing Education Office |
|
705.474.7600 ext. 5123 |
705.474.7600 ext. 5601 |
What You Need
What You Need
Most college level courses require textbooks; textbooks are not included in the course fees. It is the student’s responsibility to purchase any required textbooks.
Textbooks are available at the Campus Shop for in class, Contact North, and iLearn/D2L courses. The Campus Shop does not carry most Ontario Learn textbooks. Ontario Learn textbooks can be purchased at www.textnet.ca.
Learning Outcomes
Learning Outcomes
Learning outcomes represent culminating demonstrations of learning and achievement. In addition, learning outcomes are interrelated and cannot be viewed in isolation of one another. As such, they should be viewed as a comprehensive whole. They describe performances that demonstrate that significant integrated learning by graduates of the program has been achieved.