0:00-0:10 Welcome, course overview, and participant introductions. 0:10-0:25 Group discussion: Where have you already encountered AI? 0:25-0:45 Plain-language mini-lesson on AI, machine learning, generative AI, chatbots, algorithms, models, prompts, and outputs. 0:45-1:05 Everyday examples activity: learners sort tools and scenarios into AI, automation, and non-AI categories. 1:05-1:15 Break. 1:15-1:35 Instructor demonstration of common AI-enabled features in search, writing tools, maps, shopping, media, and workplace software. 1:35-1:50 Pair activity: identify one everyday, educational, or workplace task where AI could help and one concern or limitation. 1:50-2:00 Wrap-up, key vocabulary review, preview of the AI Basics and Everyday Examples Check, and preparation for the next meeting on how generative AI works.

0-10 min: Welcome, recap of Meeting 1, and learner check-in on where they have seen generative AI used. 10-30 min: Plain-language explanation of training data, patterns, prediction, and generated responses using simple analogies. 30-50 min: Demonstration comparing strong and weak AI responses to everyday questions. 50-65 min: Guided discussion on hallucinations, outdated information, missing context, and overconfident wording. 65-80 min: Short break and reflection prompt: when would you trust, verify, or avoid using an AI response? 80-100 min: Small-group or chat-based activity reviewing sample AI outputs for errors, bias, assumptions, and missing citations. 100-112 min: Whole-class debrief connecting limitations to responsible workplace and educational use. 112-120 min: Preview the self-grading capabilities and limits check, answer questions, and identify one personal rule for reviewing AI output.