Rollo Academy
Learn to make AI work for you.
A hands-on path from your first prompt to advanced Claude, built around real work. Short lessons, real examples, no fluff.
5parts
22lessons
3levels, beginner to advanced
Part 1
Foundations
Part 2
Getting started with Claude
Part 3
Prompting
Part 4
Working smart
Part 5
Advanced and specialised
Part 1· 4 lessons
Foundations
- What is AI?A plain-language guide to what AI really is, the AI you already use every day, and what is coming next. No jargon, no maths, made for busy professionals.
- How generative AI worksA plain look under the hood: how a language model is trained, what tokens are, why AI sometimes makes things up, and where it shines or fails at work.
- The tool landscapeChatGPT, Claude, Gemini, Copilot, and Perplexity compared honestly: what each does well, where each falls short, and which work each one suits best.
- AI at work: safety and privacyWhat is safe to share with an AI tool and what is not, what happens to what you type, and GDPR in plain terms, with a short checklist to stay safe.
Part 2· 5 lessons
Getting started with Claude
- Which Claude plan?Claude Free, Pro, Max, Team, and Enterprise compared honestly: what each plan gives you, what it costs, and who it suits. Current prices, no sales spin.
- First steps in ClaudeHow to use Claude from scratch: the interface, sending your first message, and finding your way around, so you get useful work out of it straight away.
- Models, thinking, and web accessClaude's models and when to use each, extended thinking for hard problems, and web search for current facts, so you pick the right setting every time.
- ArtifactsWhat Claude Artifacts are: documents, tables, and small apps you can keep, edit, and reuse in their own panel, instead of answers that scroll away in chat.
- Giving Claude contextHow to give Claude context with uploads, profile instructions, and a short brief on how you work, so its answers fit your role, your world, and your style.
Part 3· 4 lessons
Prompting
- Why prompting mattersSee a weak prompt and a strong prompt for the same task, side by side. What changed, why it matters, and how better prompts get you better answers from AI.
- How to write a great promptA simple five-part recipe for prompts that work: role, task, context, examples, and format. With a copy-ready template and a real business example.
- IteratingHow to read Claude's first answer and steer the next one. The small follow-up prompts that turn a fair reply into a really good one, with worked examples.
- Advanced prompts by goalReady-to-use prompt patterns for writing, analysis, research, and coding, each with a worked example you can copy and adapt to your own work.
Part 4· 5 lessons
Working smart
- Context and tokensWhat a token is, what the context window holds, why long chats drift, and when to start fresh, so you get more from every conversation with Claude.
- Claude SkillsClaude Skills are packaged instructions that do a set task the same way every time. What they are, when to use one, and how to build your own custom Skill.
- ProjectsClaude Projects keep files, instructions, and chats together for ongoing work, so Claude has the full picture every time. What they are and how to set one up.
- Cowork: Claude on your own filesClaude Cowork works on the files on your own computer: reading, writing, and building documents in place, safely. What it is and how to get started.
- Connecting Claude to your toolsConnect Claude to outside apps with connectors and MCP so it can act across your stack, from email to your CRM, and how to set them up safely.
Part 5· 4 lessons
Advanced and specialised
- Claude CodeClaude Code is Anthropic's AI coding agent that lives in your terminal: it reads your files, proposes changes you approve, and runs the whole dev loop.
- Claude DesignClaude Design is Anthropic's tool for making prototypes, slides, and one-pagers by talking to Claude: describe it, watch it appear on a canvas, refine, export.
- Scheduling and automationSet up Claude Cowork scheduled tasks that run on their own: a morning brief, a weekly report, a daily watch. Describe it once, get finished output back.
- Putting it together: work playbooksTurn single AI tasks into repeatable work playbooks: research to report, inbox to actions, data to a deck, notes to follow-through, and how to build your own.