BeginnerStart here. No prior knowledge assumed.
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Lesson 1
What is AI? — The Clear Answer
What artificial intelligence actually is — not the science fiction version, not the hype. How large language models work, what they are doing when they generate text, and what the limits are.
Lesson 2
ChatGPT — Complete Guide
The most-used AI tool in the world. What it can do, what it cannot, how to navigate the interface, and the practical differences between the free and paid versions.
Lesson 3
Claude — Complete Guide
Anthropic's AI assistant — how it differs from ChatGPT, where it performs better, and the specific use cases where Claude is the better choice.
Lesson 4
Gemini — Complete Guide
Google's AI assistant — deep integration with Google Workspace, real-time search, and where it fits alongside ChatGPT and Claude.
Lesson 5
Which AI Tool Should I Use?
A practical decision framework for choosing between AI tools — not a definitive ranking, but a set of questions that lead to the right choice for your specific task.
What is a large language model doing when it generates text?
What is the most important habit when using AI for research?
IntermediateBuild on the basics.
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Lesson 1
Prompt Engineering — The Fundamentals
How to write prompts that get genuinely useful results. Role, context, format, constraints, and the iteration mindset that separates effective AI users from frustrated ones.
Lesson 2
AI for Writing and Content
Using AI to draft, edit, summarise, and reframe text. The key principle: AI suggests, you decide — and why the final voice must always be yours.
Lesson 3
AI for Research
Using AI to find, synthesise, and analyse information — combined with the critical habit of checking everything AI tells you against primary sources.
Lesson 4
AI for Coding
How non-developers can use Cursor, Claude, and GitHub Copilot to build real things — and what developers need to know about AI-assisted coding in 2026.
Lesson 5
AI Image Generation
Midjourney, DALL-E, and how to write prompts that produce useful images. Practical for marketing, design, and ideation — not a replacement for professional designers.
Lesson 6
AI for Business Productivity
Notion AI, Copilot 365, and Gemini Workspace — AI embedded in the tools you already use. What each integration actually does and where it saves real time.
What makes a good AI prompt?
What does "AI hallucination" mean?
AdvancedDepth, edge cases and strategy.
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Lesson 1
How AI Really Works — Under the Hood
Tokens, parameters, training data, fine-tuning, and the technical concepts you need to understand to use AI seriously. No maths — just the mental models.
Lesson 2
Agentic AI — What's Coming
AI agents, multi-agent systems, and the shift from AI that responds to AI that acts. What this means for work, for automation, and for how businesses will operate.
Lesson 3
AI Bias, Safety, and Ethics
Where AI goes wrong, why it goes wrong, and how to use AI in a way that accounts for its limitations. Not hypothetical risks — practical, everyday considerations.
Lesson 4
AI Careers and the Future of Work
How AI is changing every profession, which skills become more valuable, and the ADAPT framework for positioning yourself in an AI-augmented world.
What is fine-tuning an AI model?
What is an AI agent?