
Learn what Opus, Sonnet and Haiku are each built for, how extended thinking works, and a simple default rule for choosing between them.
Learner objective: By the end of this lesson, you will be able to pick the right Claude model for any task and know when extended thinking is worth the extra time and cost.
Compare the free, Pro and Max plans, understand rolling usage limits, and see why subscriptions beat API pricing for everyday use.
Learner objective: By the end of this lesson, you will know which Claude plan fits your needs and how to pace your usage so you never hit a limit mid-task.
Download the desktop app, log in, and tour the interface where Chat, Cowork and Claude Code live.
Learner objective: By the end of this lesson, you will have the desktop app installed and know where to find Chat, Cowork, Claude Code, settings and usage.
Set up a project, understand what a system prompt is, and write instructions that shape every conversation automatically.
Learner objective: By the end of this lesson, you will be able to create a project with custom instructions so Claude responds in your preferred style without repeating yourself.
Upload statements, receipts and revenue data, then ask Claude to break down a profit and loss with interactive charts.
Learner objective: By the end of this lesson, you will be able to upload mixed business files and get accurate charts and insights from them in minutes.
Turn the analysis into a presentation that aligns with your brand guidelines, then export it to Google Slides for editing and presentation.
Learner objective: By the end of this lesson, you will be able to generate a brand-matched, boss-ready slide deck directly from your data.
Build an interactive budget-allocation tool with sliders and live projections, save it as an artifact, and publish it to share with anyone.
Learner objective: By the end of this lesson, you will be able to build an interactive tool in Claude and share it with your team or publish it to the web.
Understand how Cowork differs from chat, why it runs in a sandboxed environment, and when to use each.
Learner objective: By the end of this lesson, you will know when a task belongs in Cowork rather than chat and how Cowork plans and executes work autonomously.
Learn the four-step framework that structures every effective automation you will build in this course.
Learner objective: By the end of this lesson, you will be able to break any recurring piece of work into the four GCPS steps.
Lesson 3.3: Connecting Your Apps with Connectors
Connect Google Drive, your CRM and analytics tools so Claude can pull the data it needs on its own, and understand how MCP keeps this secure.
Learner objective: By the end of this lesson, you will be able to connect Claude to your everyday apps and control exactly what it can access.
Pair the mobile app with your desktop so you can trigger skills, review files and send work by voice note from anywhere.
Learner objective: By the end of this lesson, you will be able to run your desktop automations from your phone, wherever you are.
Create scheduled tasks two ways — through the schedule panel and by asking Claude directly — so skills run automatically without you.
Learner objective: By the end of this lesson, you will be able to schedule any skill to run automatically on a daily or weekly cadence.
Install the Claude browser extension and direct Claude to navigate sites, take screenshots and extract information — and understand its limits.
Learner objective: By the end of this lesson, you will be able to have Claude perform tasks in your browser and know when this approach is and isn't the right tool.
Add Firecrawl as a custom connector to give Claude its own isolated browser, then build a scheduled price tracker that logs changes daily and flags big drops.
Learner objective: By the end of this lesson, you will be able to build a scheduled data-tracking workflow that collects information from any website safely and reliably
Understand plugins as role-based bundles of skills, and explore the ready-made plugins available for marketing, sales and legal.
Learner objective: By the end of this lesson, you will understand the difference between a skill and a plugin and when bundling makes sense.
Brief Claude to build a core toolkit plus role-specific plugins from your existing skills, then share them with teammates by file or GitHub.
Learner objective: By the end of this lesson, you will be able to build a plugin from your own skills and get it installed on a teammate's machine.
Recognise what you have actually been building — AI agents running multi-step work — and why these workflows are valuable and sellable.
Learner objective: By the end of this lesson, you will be able to identify agentic workflows in your own work and articulate their value to others.
Learn the differences between Claude's three working modes and a simple rule for which to use when.
Learner objective: By the end of this lesson, you will be able to choose the right Claude interface for any task and explain why.
Set up GitHub, pull a ready-made carousel skill into Claude Code, and iterate on it until the output matches your style and imagery.
Learner objective: By the end of this lesson, you will be able to install a skill from the internet, customise it, and save your version for repeated use.
Combine research, carousel generation and an auto-posting connector into a scheduled pipeline that creates and publishes content daily.
Learner objective: By the end of this lesson, you will be able to put content creation and posting on autopilot, with or without a review step.
Learn the general pattern for wiring Claude into services that have no connector — using API keys, documentation and saved credentials — demonstrated with a paper-trading account running rule-based strategies on a schedule.
Learner objective: By the end of this lesson, you will be able to connect Claude to an external API, encode your own rules, and have it act on them automatically.
Understand the AIOS concept and the three KPIs that tell you whether it is genuinely paying off.
Learner objective: By the end of this lesson, you will be able to explain what an AIOS does and measure its return using three concrete KPIs.
Install Obsidian, create a vault from a structured template, and enable the terminal and agent-file plugins that let Claude work inside it.
Learner objective: By the end of this lesson, you will have a working second-brain vault with Claude running inside it.
Export your old AI chats, connect your apps through an integration hub, and have Claude organise everything into a linked personal wiki.
Learner objective: By the end of this lesson, you will be able to gather your scattered digital footprint into one organised, searchable knowledge base.
Set up local and remote scheduled tasks that pull in new meeting transcripts and app data so your brain updates itself passively.
Learner objective: By the end of this lesson, you will have automated syncs keeping your second brain current without any manual effort.
Pair messaging bots with Claude Code so you can capture ideas, ask questions and trigger work from any device.
Learner objective: By the end of this lesson, you will be able to interact with your AI operating system from your phone through Telegram or Discord.
Use a website-cloning skill to build a polished site from your AIOS context, save it to GitHub, and deploy it live with Vercel.
Learner objective: By the end of this lesson, you will be able to build and publish a professional website that showcases your services
Connect Stripe, package a skill as a purchasable product with gated GitHub access, and add a buy button to your site.
Learner objective: By the end of this lesson, you will be able to take payments for your automations and deliver access automatically.
Set up an experiment loop that measures a metric, tests changes overnight, keeps what works and reverts what breaks.
Learner objective: By the end of this lesson, you will be able to attach a measurable metric to any process and let Claude optimise it automatically
Learn how software teams work — PRD, tasks, review, merge — and use a long-running agent framework to build a real desktop application overnight.
Learner objective: By the end of this lesson, you will understand the plan-first development process and be able to direct AI agent teams to build a working product
Audit where your time goes, build an automation priority matrix, automate your top three time drains, and set Claude to suggest new automations weekly.
Learner objective: By the end of this lesson, you will have a prioritised automation plan and a recurring system that keeps finding your highest-ROI opportunities.
“This course contains the use of artificial intelligence.”
Claude Mastery: From Your First Prompt to Your Own AI Operating System takes you from typing your very first prompt to running a personal AI operating system that works around the clock — automating reports, content, client work and more, without you lifting a finger.
If you've only ever used Claude for one-off chat answers, this course shows you the other 90% of what it can do.
This isn't a theory course. Every concept is applied to real business tasks — the kind you already deal with every week — and you build alongside each lesson. Across 8 modules and 34 lessons, you will:
• Get properly set up — the right model, plan and settings for the way you actually work.
• Turn raw spreadsheets and statements into branded presentations, interactive charts and shareable tools in a single session.
• Move from one-off chat requests to Cowork: autonomous, multi-step workflows that plan and execute work on their own.
• Connect Claude directly to Google Drive, your CRM and other everyday apps so it gathers its own data.
• Package a finished workflow into a reusable skill, then set it to run automatically on a schedule or from your phone.
• Scrape and track data from any website — even ones without an official integration.
• Bundle your skills into plugins and roll them out to a whole team.
• Build a personal AI Operating System in Obsidian: a second brain that organises your notes, chats and meetings, updates itself, and that you can talk to from Telegram or Discord.
• Turn what you've built into income — a live website, Stripe payments, self-optimising systems, and a framework for deciding exactly what to automate next.
This course is built for non-technical business owners, freelancers and professionals — no coding, no prior AI experience, and no jargon you haven't already been shown how to use. Every module builds on the last, so by the end you won't just know how to prompt Claude — you'll have a working, automated business system, and the transferable skill of turning any repetitive task into an AI agent that handles it for you.
By the end of this course, you'll be able to automate your most time-consuming work, package your automations as sellable services, and know exactly what to automate next.