For marketing, sales, finance, HR and operations: understand what AI can and cannot do, use it well in your own work, and adopt it responsibly.
Finish this and you can redesign one real workflow in your role around AI, measure the result, and explain the risks to your manager.
What these systems are, how they are built, and where they fail, for people who will never train one.
Foundation
University of Helsinki · course · 30 h
A free course taken by over a million people. No maths or programming needed.
Coursera · course · 6 h
Free to audit. How to think about AI projects in a company, from the person who ran Google Brain.
Write prompts that produce work you would sign your name to, and check it before you do.
Foundation
DAIR.AI · docs · 2 h
Read the introduction and basic techniques; skip the code.
oneusefulthing.org · article · 3 h
A Wharton professor's practical, evidence-based writing on using AI at work.
Project
Ten prompts for tasks you do every week.
Marketing, sales, finance, people and operations: where AI already earns its keep, and where it does not yet.
Foundation
GitHub · course · 20 h
Twenty-one lessons. The non-code lessons on use cases and responsible use suit business roles.
HubSpot · course · 10 h
Free marketing and sales courses, including how AI tools fit into inbound and CRM work.
Project
Pick one process your team runs every week.
Privacy, bias, accuracy and accountability: the questions to ask before AI touches customers or colleagues.
Foundation
University of Helsinki · course · 15 h
A free course on fairness, transparency, privacy and accountability.
Practitioner
NIST · docs · 2 h
How organisations govern, map, measure and manage AI risk.
Project
What the team may use AI for, what data may never go into it, who checks the output, and how mistakes are reported. Use the NIST functions as headings and get one colleague to challenge it.
Not sure this is your direction?
A three-minute counselling sample is free.