Training Your Team on AI

Learning Objectives Design a practical AI training program for a team of any size Know what to teach first, second, and third for maximum adoption Avoid the training mistakes that cause people to stop using AI Why Most AI Training Fails The standard approach to AI training does not work: schedule a 2-hour workshop, demo the tool, hand out a guide, and hope people start using it. Attendance is mandatory, enthusiasm is low, and within a week most people have forgotten everything and gone back to their old workflows. This fails because it treats AI training like software training — learn the interface, memorize the features. But AI is not software. AI is a skill, not a tool. Using AI effectively requires practice, experimentation, and the development of judgment that only comes from experience. The Three-Phase Training Model Phase 1: Foundation (Week 1 — 2 Hours Total) Goal: Everyone understands what AI can do, feels comfortable trying it, and knows the team's AI guidelines. Session 1: AI Orientation (45 minutes, live) What AI can and cannot do (10 min — manage expectations early) Live demo: you use AI for a real team task while everyone watches (10 min) Hands-on: everyone tries the same task themselves (15 min) Q&A and concerns (10 min — create space for anxiety) Session 2: Prompting Basics (45 minutes, live) The anatomy of a good prompt: role, context, task, format, constraints (10 min) Practice: 3 prompting exercises using real work scenarios (25 min) Share and compare…