Learning Path
Marketing, operations, customer service, automation, and decision support.
What you finish with
A prioritized AI opportunity map, two automated workflows, and your first working agent.
Take them in this order. Each one assumes what the last one taught.
Learn a four-part way to ask AI for what you want, fix answers that miss, and leave with three tested prompt templates for your own weekly tasks.
Score where AI pays off in your organization, draft an update with zero invented numbers, and leave with a one-page AI policy your team can live with.
Map one tedious task, then build one small working automation with an AI step in the middle and your approval before anything reaches a person.
Design one small AI agent with written limits, run it, try to trick it, and leave with a tested spec and a run where it stopped and asked you.
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Each lab pairs with a class above and produces something you keep.
Build the full pipeline for a recurring newsletter — source gathering, drafting, review, and scheduling — with a human approval step before anything sends.
You leave with
A working newsletter workflow with approval.
Pick one genuinely tedious recurring task, map it, and automate it end to end — including error handling and a notification when something goes wrong.
You leave with
One automation running in production.
Design and ship an agent with real tools, real data, real guardrails, and a human approval checkpoint on anything consequential.
You leave with
A working agent or complete agent blueprint.
Digital literacy and practical AI for households and multiple generations.
Productivity, communication, research, Microsoft 365, and workplace automation.
AI adoption, communications, fundraising support, program development, and community impact.
Bring one task you want to make easier. We organize a class when 10 people with similar work needs are interested. See the class details before you decide to enroll.
