AI LITERACY FOR ORGANISATIONS
AI for Non-Technical Teams
Written for the people who have to decide about AI without building it — managers, operations, marketing, finance, HR, founders. No maths, no code, no vendor pitch. Engineers welcome too, for the business half of the picture.
- 4 modules
- 20 lessons
- 5 quizzes
- 73 questions
- About 8 hours
Free — no enrolment needed
Course syllabus
Four modules build in order: what the technology actually is, how projects really run, how to bring AI into an organisation, and the risks and societal questions that come with it. Every module ends with a quiz, and a final assessment covers all four. Every lesson and every quiz is free.
1. What AI Actually Is
The vocabulary decoded — machine learning, deep learning, neural networks, data science — plus what data really is, a usable rule for what AI can and cannot do, and what separates a company that uses AI from a company that is genuinely built on it.
- Machine Learning in Plain LanguageFree lesson
- What Data Actually Is (And Three Myths About It)Free lesson
- The Terminology DecodedFree lesson
- What AI Can and Cannot DoFree lesson
- What Makes a Company an AI CompanyFree lesson
- What AI Actually Is — QuizFree · 12 questions
2. How AI Projects Actually Work
What it feels like from the inside — the real workflow of a machine learning project and a data science project, how to choose one worth doing, how to work with an AI team without being technical, and how to tell when something is genuinely finished.
- The Workflow of a Machine Learning ProjectFree lesson
- The Workflow of a Data Science ProjectFree lesson
- How to Choose an AI Project Worth DoingFree lesson
- Working With an AI TeamFree lesson
- What Done Looks LikeFree lesson
- How AI Projects Work — QuizFree · 12 questions
3. Bringing AI Into Your Organisation
Two case studies that teach pipeline thinking, a realistic sequence for building AI capability rather than collecting pilots, the pitfalls that reliably kill initiatives, and a concrete first ninety days.
- Case Study: What Happens When You Talk to a Smart SpeakerFree lesson
- Case Study: Self-Driving Cars and the Last Few PercentFree lesson
- Building the Capability, Not Collecting PilotsFree lesson
- Pitfalls That Reliably Kill AI InitiativesFree lesson
- Your First Ninety DaysFree lesson
- AI in Your Organisation — QuizFree · 12 questions
4. AI, Risk and Society
A realistic view of what AI is and is not, how bias enters systems and what it has actually cost, how AI can be attacked and misused, and the honest position on AI and jobs — with documented cases throughout.
- A Realistic View of AIFree lesson
- Bias and DiscriminationFree lesson
- Adversarial Attacks and SecurityFree lesson
- Adverse Uses of AIFree lesson
- AI, Jobs and Developing EconomiesFree lesson
- AI, Risk and Society — QuizFree · 12 questions
- Final AssessmentFree · 25 questions
Source and attribution
Independently written by Srileo Technologies. This course is vendor-neutral and is not affiliated with, endorsed by, or derived from any AI vendor, university programme or certification body. The real-world cases it discusses — including the Gender Shades study, Amazon's abandoned recruiting tool, the Netflix Prize, Zillow Offers, Google Flu Trends and the CVPR 2018 road-sign attack — are cited in the lessons to their published sources so you can read the originals yourself.