All Professionals
Build shared foundations first, then move into role-specific pathways with more confidence.
Start with free reading →View the full learning path →Start here
You know AI matters. You are just not sure where to begin. Most advice is either too technical, too shallow, or too noisy. This is a clearer path.
Your five-step reading roadmap
Work through these in order. Each step gives you a practical foundation for the next one.
- 1Step 1
What Large Language Models Actually Do
Start with a clear mental model of what modern AI systems are doing under the hood.
- 2Step 2
Evaluating AI Tools for Your Team
Use a practical framework to separate credible tools from feature-checklist noise.
- 3Step 3
Building an AI Literacy Programme
See how to move from individual experimentation to team-wide capability.
- 4Step 4
AI Ethics and Risk Essentials
Understand reliability, privacy, and governance risks before expanding usage.
- 5Step 5
AI by Role
Choose role-specific reading so your next steps are relevant to your day-to-day decisions.
Then choose your role-based path
Marketing
Focus on experimentation discipline, content workflows, and claim verification.
Start with free reading →Finance & Operations
Start with evaluation frameworks, risk controls, and process-level use cases.
Start with free reading →Team Leaders
Prioritise literacy, operating norms, and responsible rollout across your team.
Start with free reading →View the full learning path →Prefer one complete, structured resource?
If you would rather follow one coherent system than assemble your own path from separate articles, the AI Primer Handbook brings the core frameworks, templates, and implementation sequence together in a single guide.
See the HandbookWant this in your inbox each week?
The AI Primer Briefing covers the most important developments in AI, explained without the hype.
Frequently asked questions
Do I need a technical background?
No. AI Primer is written for professionals who make decisions, not for engineers writing model code.
How is this different from free online courses?
Most courses are either broad introductions or technical training. AI Primer is editorially curated for practical judgment at work: what matters, what does not, and why.
How quickly should I work through this?
Most readers complete the core sequence over one to two weeks. The aim is understanding you can apply, not speed-running content.
Who writes AI Primer?
AI Primer is independently published and written with a clear editorial standard: evidence over hype, clarity over jargon. Learn more.