WRK-AIAP-1001 - AI at Work: From Basics to Boss Mode
Course Description
This one-day workshop teaches participants how to use AI in a practical, responsible, and workflow-centered way. Instead of starting with tools, trends, or generic prompts, participants start with something they already do: a recurring task, workflow, communication challenge, decision point, or problem they understand well. From there, participants learn how to identify where AI can add value, where human judgment should remain central, what information AI needs to be effective, and how to evaluate outputs before using them.
The workshop introduces a repeatable process for applying AI strategically inside real work. Participants learn how AI works, where it performs well, where it creates risk, how to structure stronger prompts, and how to turn useful AI interactions into more consistent and repeatable workflows.
AI is positioned as a work support tool that helps people create stronger starting points, reduce repetitive or low-value tasks, improve consistency, and free up time for higher-priority work. Emphasis is placed on human review, accountability, decision-making, and responsible use.
Before the workshop, participants will be invited to share a workflow, task, or problem they would like AI to help support. Facilitators will use these examples throughout demonstrations, guided activities, and discussion to create a more personalized and immediately applicable learning experience.
Possible workflow examples include communication, presentation development, documentation, summarization, planning, analysis, ideation, and organization. No prior AI experience is required. The workshop begins with foundational concepts while still providing value for learners who have already experimented with AI tools and want a more structured and strategic approach.
Core Principle: Work drives the AI use — not the other way around. Participants learn how to apply AI where it makes sense, avoid it where it does not, and keep people responsible for judgment, decision-making, and final outputs.
Human-in-the-Loop Principle: AI supports drafting, organization, analysis, communication, and workflow execution, while people remain responsible for judgment, evaluation, oversight, approvals, decision-making, and final outputs. The workshops emphasize responsible AI-assisted work practices that keep human expertise and accountability central.