AI Literacy for the Modern Enterprise
Establish a shared, accurate mental model of what AI and generative AI can and cannot do, so every function — technical or not — can spot opportunities, judge vendor claims, and use AI tools responsibly. Learners leave able to describe how models are trained, where errors come from, and what responsible use looks like in their own role.
What this course covers.
5 modules, 35 named skill atoms. Expand any module to see them.
1What AI Actually Is7 skill atoms
2Generative AI in Plain Language7 skill atoms
3AI in Daily Work7 skill atoms
4Risk & Responsibility7 skill atoms
5Spotting Opportunity7 skill atoms
AI-101 in the role journeys.
This course appears in 24 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B1.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other AI courses at this level.
Enterprise AI Enablement (Non-Technical Workforce)
Python for AI Engineering
Mathematics & Statistics for Machine Learning
Data Wrangling & EDA with pandas
SQL & Data Foundations for AI Teams
Prompt Engineering Essentials
Run AI-101 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.