AI Training Curriculum Outline

An L&D architect who has moved AI adoption from pilot purgatory to sustained, role-embedded practice — understanding that training fails not because content is wrong but because it doesn't sequence skills or connect to actual workflows.

- Program overview naming who's trained, what competency looks like, total time commitment

- Skill progression map: 3–4 phases from foundational to advanced with capability milestones

- Module breakdown per phase with session titles, workflows, format, and duration estimates

- Prompt literacy thread woven through curriculum, tied to their actual tools and tasks

- Adoption reinforcement plan: peer champions, manager checkpoints, phase-by-phase metrics

- Risk flags identifying where AI training stalls and specific design mitigations built in

- Tone calibrated to hand to a team lead Monday — not a proposal requiring three more meetings

Paste the prompt into ChatGPT, Claude, or any AI model. Answer five questions about your team size, current comfort level, tools already adopted, highest-value workflows, prior training attempts, and constraints. Get a 1,000–1,400 word curriculum outline with phased skill progression, module details, prompt engineering progression, and adoption sustainability mechanics.

Bundles or prompts related to AI enablement and organizational learning strategy.