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 how to communicate effectively with AI — context, roles, examples, refinement, and reusable templates.
Use AI as a practical operating tool across marketing, communication, proposals, research, SOPs, and operations.
Move beyond prompting into AI-powered workflows: triggers, actions, connected apps, and human-in-the-loop approval.
Introduce agentic AI — tools, memory, instructions, data, actions, guardrails, and approvals — and ship a working agent.
Apply
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.
You don’t need to become an AI expert overnight. You need a starting point, a practical roadmap, and opportunities to put what you learn into action.
