Basics of Artificial Intelligence: AI Literacy for the Workplace 6 Sections66 Lessons26 Quizzes1 Week
Curriculum
- 6 Sections
- 66 Lessons
- 1 Week
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- DAY 1: What AI Is17 Items
- 1.1Lesson 1.1: Defining AI and Tracing Its History
- 1.2Quiz 1.120 Minutes5 Questions
- 1.3Lesson 1.2: Rules, Learning, and the Layers of AI
- 1.4Quiz 1.220 Minutes8 Questions
- 1.5Lesson 1.3: Vision, Speech, and Language Workloads
- 1.6Quiz 1.320 Minutes5 Questions
- 1.7Lesson 1.4: AI in Canadian Daily Life and Work
- 1.8Quiz 1.420 Minutes8 Questions
- 1.9Lesson 1.5: Canada’s AI Ecosystem and Strategy
- 1.10Quiz 1.520 Minutes5 Questions
- 1.11From the Dartmouth Proposal to the Chatbot
- 1.12Spaced Review: The Vocabulary of Day 1
- 1.13Canada-specific details most textbooks don’t give you
- 1.14Lab 1.1 AI in my day audit
- 1.15Lab 1.2 Rules versus learning on paper
- 1.16Lab 1.3 Canadian AI ecosystem brief
- 1.17Lab 1.4 Testing the perception workloads
- DAY 2: How Machine Learning Works18 Items
- 2.1Lesson 2.1: Data, Features, Labels, and Training
- 2.2Quiz 2.120 Minutes5 Questions
- 2.3Lesson 2.2: Types of Learning, Overfitting, and Evaluation
- 2.4Quiz 2.220 Minutes8 Questions
- 2.5Lesson 2.3: Clustering, Anomaly Detection, and Recommendations
- 2.6Quiz 2.320 Minutes5 Questions
- 2.7Lesson 2.4: Preparing Data and Assuring Its Quality
- 2.8Quiz 2.420 Minutes8 Questions
- 2.9Lesson 2.5: Deploying, Monitoring, and Maintaining Models
- 2.10Quiz 2.520 Minutes5 Questions
- 2.11Inside a Training Run
- 2.12Why 98 Percent Accuracy Can Be Worthless
- 2.13Canada-specific details most textbooks don’t give you
- 2.14Drill Set: Which kind of learning?
- 2.15Lab 2.1 Train an image classifier with Teachable Machine
- 2.16Lab 2.2 Confusion matrix workshop
- 2.17Lab 2.3 Design a dataset for a business prediction
- 2.18Lab 2.4 Data quality audit of a Canadian open dataset
- DAY 3: Generative AI and Large Language Models19 Items
- 3.1Lesson 3.1: How Large Language Models Generate Text and Images
- 3.2Quiz 3.120 Minutes5 Questions
- 3.3Lesson 3.2: Writing Prompts and Verifying Outputs
- 3.4Quiz 3.220 Minutes8 Questions
- 3.5Lesson 3.3: Generative AI for Everyday Documents
- 3.6Quiz 3.320 Minutes5 Questions
- 3.7Lesson 3.4: Multimodal Tools, Built-In Assistants, and AI Agents
- 3.8Quiz 3.420 Minutes8 Questions
- 3.9Lesson 3.5: Working With Numbers and Data Using Generative AI
- 3.10Quiz 3.520 Minutes5 Questions
- 3.11What Happens Between Your Prompt and the Reply
- 3.12Images From Noise
- 3.13Canada-specific details most textbooks don’t give you
- 3.14Drill Set: Repair the prompt
- 3.15Lab 3.1 Build a personal prompt library
- 3.16Lab 3.2 Fact-check a chatbot on Canadian rules
- 3.17Lab 3.3 Side-by-side chatbot comparison
- 3.18Lab 3.4 Summarise and extract from a public document
- 3.19Lab 3.5 Spreadsheet analysis with an AI assistant
- DAY 4: Responsible AI19 Items
- 4.1Lesson 4.1: Bias and Fairness
- 4.2Quiz 4.120 Minutes5 Questions
- 4.3Lesson 4.2: Transparency, Accountability, and Responsible AI Frameworks
- 4.4Quiz 4.220 Minutes8 Questions
- 4.5Lesson 4.3: Privacy, PIPEDA, and AI
- 4.6Quiz 4.320 Minutes5 Questions
- 4.7Lesson 4.4: Intellectual Property and Academic Integrity
- 4.8Quiz 4.420 Minutes8 Questions
- 4.9Lesson 4.5: AI Security Risks and Workplace AI Policies
- 4.10Quiz 4.520 Minutes5 Questions
- 4.11The NIST AI RMF in Plain Language
- 4.12Deepfakes, Voice Clones, and AI-Enabled Fraud
- 4.13Canada-specific details most textbooks don’t give you
- 4.14Drill Set: Green, yellow, or red?
- 4.15Lab 4.1 Bias probe of a generative AI tool
- 4.16Lab 4.2 Redact and rewrite
- 4.17Lab 4.3 Algorithmic Impact Assessment walk-through
- 4.18Lab 4.4 Read the terms of an AI tool
- 4.19Lab 4.5 Security scenario analysis
- DAY 5: AI at Work and Your AI-Ready Career in Canada18 Items
- 5.1Lesson 5.1: AI Use Cases Across Canadian Industries
- 5.2Quiz 5.120 Minutes5 Questions
- 5.3Lesson 5.2: Automation, Augmentation, and How AI Changes Jobs
- 5.4Quiz 5.220 Minutes8 Questions
- 5.5Lesson 5.3: Evaluating and Selecting AI Tools
- 5.6Quiz 5.320 Minutes5 Questions
- 5.7Lesson 5.4: Planning, Piloting, and Measuring AI Adoption
- 5.8Quiz 5.420 Minutes8 Questions
- 5.9Lesson 5.5: Artificial Intelligence and Your Career in Canada
- 5.10Quiz 5.520 Minutes5 Questions
- 5.11Running a 30-Day AI Pilot
- 5.12Reading Canadian AI Job Postings
- 5.13Canada-specific details most textbooks don’t give you
- 5.14Drill Set: Automate, augment, or leave alone?
- 5.15Lab 5.1 Workflow mapping and use-case discovery
- 5.16Lab 5.2 AI exposure analysis of a Canadian job
- 5.17Lab 5.3 Weighted tool evaluation scorecard
- 5.18Lab 5.4 The AI Adoption Proposal (Capstone)
- FINAL EXAMINATION1 Item
