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Courses/Information Technology/Artificial Intelligence

AI Literacy Series: A Practical Guide to Modern AI Terms

A practical guide to 57 essential AI terms, explained in plain language. Understand models, prompts, RAG, agents, tools, evaluation and security—and follow workplace AI discussions with confidence.

Created byJason Deanworkspace_premium
BeginnerUpdated Sep 23, 2026
AI Literacy Series: A Practical Guide to Modern AI Terms

What You'll Learn

check_circleDistinguish between models, applications, and agentic systems
check_circleAnalyze the differences between pre-training, fine-tuning, and retrieval-augmented generation
check_circleEvaluate AI system performance using benchmarks and custom evaluation sets
check_circleIdentify security risks including prompt injection and jailbreaking
check_circleApply operational concepts like latency and inference cost to real-world deployment scenarios

About This Course

DESCRIPTION
Understanding modern AI increasingly requires more than recognizing the word model. Meetings, vendor presentations, articles and podcasts now routinely use terms such as tokens, RAG, agents, MCP, guardrails, benchmarks and inference cost. Knowing how these ideas relate makes it easier to judge what a system actually does, what evidence supports its claims and where human oversight is still required.

In this course, Jason Dean builds that vocabulary from the ground up. He explains 57 widely used AI terms in direct, non-technical language, using practical examples from invoices, contracts, finance and workplace software. The course begins with models, tokens and training; moves through prompts, context, retrieval and grounding; then examines APIs, tools, agents, evaluation, security, openness, latency and cost. Clear diagrams and animations show what happens at each stage and how the terms connect.

The course is designed for professionals who use, evaluate, procure, manage or write about AI. By the end, you should be able to follow an AI meeting, vendor presentation, article, podcast or news report with confidence. You should also be better prepared to ask precise questions about what a system can do, how it was evaluated, what controls surround it and what it will cost to operate.

By the end of the course, learners should be able to:

  • follow AI meetings, vendor presentations, articles and news coverage without stopping to translate every term;
  • distinguish a model from the application and controls around it;
  • explain how training, inference, prompting, retrieval, tools and agents relate;
  • interpret common claims about benchmarks, security, openness, latency and cost; and
  • ask more precise questions when evaluating an AI product or proposal.

Instructor: Dr. Jason Dean, Associate Professor, King's University College at Western University
Duration: approximately 2 hours 13 minutes
Level: introductory; no programming background required

Your Instructor

Jason Dean
Jason Dean

Associate Professor of Economics | King's University College at Western

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Dr. Jason Dean Economics Professor and Applied Economist Dr. Jason Dean is an Associate Professor of Economics at King’s University College at Western University. He teaches economics to university students and working professionals, drawing on experience in academic research, economic consulting and public policy. His CPD courses explain how changes in inflation, interest rates and employment affect businesses and their clients. Jason works through the reasoning behind these relationships so learners can interpret economic news, question forecasts and understand the assumptions behind a policy recommendation. Before joining King’s, Jason worked as an associate and health economist at Analysis Group and as an economic research analyst at CEP News. His consulting work contributed to published studies of healthcare costs and treatment outcomes. He has also taught economics to CPA students at Sheridan College. Jason’s teaching career has taken him across Canada, Japan and China. In 2024, he was a visiting professor in Canadian Studies at Kwansei Gakuin University in Japan, where he taught Canadian Business Culture and Canadian Economic History. He taught Labour Economics at Wuhan University of Technology and Labour Economics and International Trade and Finance at Renmin University in Beijing. His experience teaching in China prompted him to develop his Economics of China course at King’s. His Canadian teaching experience also includes Wilfrid Laurier University, McMaster University Continuing Education and McGill University. Beyond the classroom, Jason has delivered presentations on practical uses of artificial intelligence for Haver Analytics, the Canadian Chamber of Commerce and the Toronto Association for Business and Economics. His topics have included economists’ productivity, copyright and privacy. He has contributed assessment questions and digital learning activities to economics teaching materials for McGraw-Hill and Pearson. His research examines questions with consequences for households and employers: What happens when immigrants cannot find work related to their education? How does a fall in income affect a renter’s ability to move? Do Canadian housing and stock markets share a long-run relationship? His work has appeared in journals including Applied Economics, Regional Science and Urban Economics, Cliometrica and the Journal of Housing Economics. As an associate researcher with the Montreal Economic Institute, Jason studies how taxes and benefit reductions affect the financial return to work. His policy publications address the circumstances of low-income seniors, people taking a second job and workers moving off income assistance. He has provided media commentary on housing, labour markets and the Canadian economy. Jason holds a PhD in Economics from McGill University, an MA in Economics from the University of Guelph and an Honours BBA from Wilfrid Laurier University. MONTREAL ECONOMIC INSTITUTE — RESEARCH REPORTS • “End Penalties That Punish Low-Income Seniors Who Work” (2026), with the collaboration of Gabriel Giguère. • “The Benefits of Eliminating the Middle-Income Tax Bracket” (2025), with the collaboration of Emmanuelle B. Faubert. • “Full-Time Struggle and Two-Job Juggle: A Tax Holiday for Canadians to Fight Rising Costs” (2024), with the collaboration of Renaud Brossard. • “Canada’s Welfare Wall: Enhancing the CWB for Full-Time Employment” (2023), with the collaboration of Renaud Brossard. • “Labour Shortages: Helping a Trapped Pool of Potential Workers Help Themselves” (2023), with the collaboration of Célia Pinto Moreira. POLICY COMMENTARY • “It’s time to give the middle class a real tax break.” The Hamilton Spectator, March 17, 2025. • “Hey Ottawa, workers with two jobs could use a break.” The Hamilton Spectator, January 13, 2024. • “Workers Benefit not working for workers.” Financial Post, May 4, 2023. PEER-REVIEWED RESEARCH — ECONOMICS • Dilmaghani, M., and Dean, J. “Sexual orientation and intra-household specialization before and after the legal recognition of same-sex marriage in Canada.” Applied Economics, 56(29), 3460–3484 (2024). • Singh, A., McFarlane, A., Dean, J., and Erenburg, G. “Are Canadian Residential Real Estate and Stock Markets Segmented or Integrated?” Empirical Economics Letters, 23(7) (2024). • Dean, J., and Steele, M. “Income decline, financial insecurity, landlord screening and renter mobility.” Regional Science and Urban Economics, 95, 103797 (2022). • Dean, J., and Geloso, V. “The linguistic wage gap in Quebec, 1901 to 1951.” Cliometrica, 16, 615–637 (2022). • Dilmaghani, M., and Dean, J. “Sexual orientation and homeownership in Canada.” Journal of Housing Economics, 49, 101688 (2020). • Dean, J. “Does it matter if immigrants work in jobs related to their education?” IZA Journal of Development and Migration, 8, Article 7 (2018). • Dilmaghani, M., and Dean, J. “Labor Market Attainment of Canadian Jews During the First Two Decades of the 20th Century.” Contemporary Jewry, 38, 49–77 (2018). • Dean, J., and Dilmaghani, M. “Economic Integration of Pre-WWI Immigrants from the British Isles in the Canadian Labour Market.” Journal of International Migration and Integration, 17(1), 55–76 (2016). • Dilmaghani, M., and Dean, J. “Religiosity and female labour market attainment in Canada: the Protestant exception.” International Journal of Social Economics, 43(3), 244–262 (2016). COAUTHORED RESEARCH — HEALTH ECONOMICS AND OUTCOMES • “Systematic review of long-acting injectables versus oral atypical antipsychotics on hospitalization in schizophrenia.” Current Medical Research and Opinion, 30(8), 1643–1655 (2014). • “Burden of schizophrenia on selected comorbidity costs.” Expert Review of Pharmacoeconomics & Outcomes Research, 14(2), 259–267 (2014). • “Impact of omalizumab on emergency-department visits, hospitalizations, and corticosteroid use among patients with uncontrolled asthma.” Annals of Allergy, Asthma & Immunology, 109(1), 59–64 (2012). OTHER RESEARCH REPORTS • Dean, J., and Dilmaghani, M. “Religious Diversity and Labour Market Attainment: Nova Scotia and New Brunswick, 1911–2011.” Atlantic Research Group on Economics of Immigration, Aging and Diversity (2015).

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