Applied Artificial Intelligence: Foundations, Tools, and Real-World Use Cases
It provides a practical, non-technical introduction to AI, with real-world applications tailored to Toronto’s key sectors, including healthcare, finance, education, and marketing.
Duration: 25 hours
Delivery Mode: Online / In-person
Language: English
Credentials: Certification
Course Overview
AI is no longer a futuristic concept — it’s a transformative force across every major industry.
Applied Artificial Intelligence: Foundations, Tools, and Real-World Use Cases provides a practical, non-technical introduction to AI, with real-world applications tailored to Toronto’s key sectors, including healthcare, finance, education, and marketing.
In this 25-hour course, learners will explore core AI concepts, examine Canadian case studies, experiment with no-code AI tools, and engage with ethical frameworks — making it an ideal choice for professionals, entrepreneurs, and decision-makers seeking a functional understanding of AI in business and society.
Why Take This Course?
Broad Industry Relevance: Discover how AI is being applied in real-world sectors across Toronto and Canada.
Beginner-Friendly Tools: Learn with intuitive platforms like ChatGPT and Google Teachable Machine — no coding required.
Strategic Perspective: Understand how AI supports business innovation, operational efficiency, and customer experience.
Ethical Awareness: Explore how Canadian standards are shaping responsible AI use.
What You'll Learn
The foundational principles of AI, including machine learning, natural language processing (NLP), and computer vision.
Canadian industry use cases — from AI in healthcare diagnostics to financial automation and personalized education.
How to use no-code AI platforms like ChatGPT, Google Teachable Machine, and other beginner-accessible tools.
How to evaluate the ethical and societal impacts of AI technologies in the Canadian context.
Course Outcomes
Understand how AI technologies work and where they’re being applied in the real world.
Identify and analyze Canadian AI use cases in industries relevant to your goals.
Use simple, no-code tools to build and test basic AI applications.
Critically assess ethical implications related to privacy, bias, and accountability in AI systems.
