Learners will build a foundational understanding of AI concepts and ethics, gain hands-on experience with tools like ChatGPT and Google Teachable Machine, and develop the critical thinking needed to address bias, fairness, and responsible AI use.
Understand key AI terms, concepts, and ethics to recognize how AI delivers value responsibly.
Build practical skills using tools like ChatGPT for analysis, content creation, and automation.
Learn to identify data bias and apply fairness and transparency when working with AI systems.
Learners will identify AI business opportunities, assess data readiness, and design practical adoption strategies. They will also build skills in predictive analytics and responsible AI governance to communicate effective business cases.
Learn how to spot high-impact AI opportunities that improve efficiency, insight, and ROI.
Develop data-ready action plans and adoption roadmaps for sustainable AI integration.
Build confidence presenting AI ROI, governance requirements, and responsible deployment models.
Learners will design efficient automation solutions using no-code tools, chatbots, and AI-driven workflows. They will also develop skills in process mapping, API integration, and presenting complete automation strategies.
Learn to map processes and build efficient automations using no-code and AI tools.
Create conversational AI prototypes that automate communication and support tasks.
Connect apps and AI models into real workflows using modern API and automation platforms.
Learners will identify, deploy, and manage AI solutions in the cloud using major platforms and managed services. They will gain practical experience with AutoML, API deployment, security, and compliance while developing strategies for scalable, ethical, and cost-efficient cloud AI use.
Learn how cloud platforms host, scale, and secure modern AI applications.
Use AutoML and managed cloud tools to train, test, and deploy machine learning systems.
Apply cloud security, compliance, and governance principles to protect AI systems and data.
Learners will create data-driven, ethical personalization strategies using segmentation, behavior analysis, and modern personalization tools. They will also ensure privacy, transparency, and responsible data practices throughout the process.
Learn how segmentation and behavior insights power tailored user journeys.
Apply rule-based and machine learning methods to deliver dynamic content and offers.
Ensure transparency, privacy, and fairness while designing data-driven personalization systems.
A micro-credential is a short course that helps you earn one clear skill, or a small group of skills. It is focused, practical, and linked to skills that are in-demand in the workplace.
A micro-credential helps you learn specific skills quickly, update your skills to meet changing industry needs, stand out from other job applicants, add new skills to your current knowledge, and/or feel a sense of personal achievement. Because micro-credentials are linked to the job market, they can help you show employers that you have the skills they are looking for, or help you stand out in your current position.
Certificates, diplomas, and degrees are longer programs covering more topics and usually take months or years to complete. A micro-credential covers a small, focused set of skills and requires only a short time to finish. Sometimes micro-credentials can be combined, or stacked, to show a broader group of skills.
Yes. Micro-credentials are developed with the specific skills employers need in mind. They allow employers—and potential employers—to verify the skills required for you to succeed.
Most micro-credentials at Alexander College last between 4–6 weeks and require a few hours each week to complete.
Micro-credentials may be delivered online with set class times, hybrid with some online and some in-person components, or fully in-person. Please check the details for the micro-credential you are interested in to confirm how it will be delivered.
Micro-credentials are competency-based, so you must both learn and demonstrate the required skills. Assessment may include an applied project, case study, practical task, presentation, portfolio, quizzes, or short exams.
Sometimes micro-credentials can be stacked for credit. At this time, Alexander College does not offer micro-credentials that lead to academic credit, but this may change in the future.
Rules and regulations around study permits and Post-Graduation Work Permits frequently change. We recommend connecting with a Regulated Canadian Immigration Consultant or one of our Regulated International Student Immigration Advisors (RISIAs) at risia@alexandercollege.ca.
You will receive a certificate of recognition that can be verified by employers and included on your résumé.
Micro-credentials are offered through the Alexander College Extended Learning department. You can view the Extended Learning refund policy HERE. Please note that general student policies do not apply to Extended Learning and/or micro-credential learners.
Micro-credentials are designed to meet current industry needs. In fast-changing fields, skills—and therefore micro-credentials—may become outdated. Check your micro-credential details to confirm whether an expiration date applies.
Burnaby and Vancouver
+1 604-435-5815
4805 Kingsway, Burnaby, BC
#100 - 570 Dunsmuir, Vancouver, BC
Privacy Policy
www.alexandercollege.ca