AI Literacy for Non-Technical Teams
A 40-minute foundations course for HR, Marketing, Sales, and Ops — no code, no jargon, just where AI actually helps your day-to-day.
6
Chapters
~40 min
Duration
Foundational
Level
No
Certification
Who this is for
For individual contributors and managers in non-technical functions who are being asked to use AI in their day-to-day.
How this course works
- 6 audio-narrated slide chapters · ~40 min of focused content
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- A working AI vocabulary — terms you can defend in a meeting, no jargon, no fear
- Where AI actually helps day-to-day for HR, Marketing, Sales, and Ops — concrete plays per function
- The 3 risks every non-technical employee should know — hallucinations, bias, data-handling
- The "augment-don't-replace" reflex — when to lean in, when to skip it
- How to draft, review, and refine AI output without losing the judgement that makes you good at your job
- The data-handling discipline — what you can paste into a public AI tool and what you absolutely cannot
- Practical Monday-morning moves that compound into team-level fluency over a quarter
Course content
6 chapters · ~40 min
Demystifying AI
Three things sitting in your Gmail right now are three completely different kinds of AI — rules, machine learning, generative. Tell them apart, and you stop trusting them all the same.
Prompting as a learnable skill
One real prompt refined live in four steps — Goal · Context · Source · Expectations. The same framework that takes a 6-out-of-10 follow-up email to a 9.
Where AI actually helps you (by function)
Four function lanes — HR, Marketing, Sales, Ops — with one concrete story under each. Then a switcher panel with three highest-leverage prompts per function and the trap that catches people first time.
The risks you should know
Three named incidents — Air Canada (2024), iTutorGroup EEOC (2023), Samsung (2023) — with the precedents they set. The list of what never goes in a public AI tool, the enterprise carve-out, and a sorter to calibrate your paste instincts.
Ten prompts to try this week
A library — ten tested prompts you can copy, with sample inputs, expected outputs, and the one thing that makes each one work. Pick three. Run them on real material. By month three, the library is doing the heavy lift.
Making it stick at your desk: week one
The data on why most adoption fails (44.2% quit after one underwhelming output), the week-one trap that catches people on Wednesday, and a customisable five-day plan per function. Closes the course with an imperative, not a recap.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.