Week 1
AI basics, prompting, risks, and workplace use cases.
Participants understand what AI can and cannot do, and how to ask better questions.
AI training and labs
Most AI education is too broad. Local students and employees need hands-on training for research, writing, communication, workflow visibility, admin work, business analysis, and productivity. This page is built for AI workshops East Tennessee institutions can connect to workforce outcomes.
5-week AI lab model
Built for practical workplace readiness.
The lab is structured around actual tasks, honest limitations, and a capstone project that solves a real local business or organizational problem.
Lab outline
The sequence moves from responsible AI basics into work tasks, workflows, simple tools, and a capstone.
Week 1
Participants understand what AI can and cannot do, and how to ask better questions.
Week 2
Participants practice better drafts, summaries, comparison tables, and research checks.
Week 3
Participants map a real workflow and identify where AI can support a human process.
Week 4
Participants turn a workflow into a usable prototype or operating checklist.
Week 5
Participants present a practical project with clear use case, limits, and next steps.
Participant outcomes
Students and employees should leave with a practical understanding of how to use AI, where it fails, and how to apply it inside a human-reviewed workflow.
Schools and colleges adding practical AI literacy.
Chambers and workforce programs helping local employers adapt.
Businesses that want team training around specific roles and workflows.