Claude Course: Prompt, Skills, MCP, Claude Code, Cowork, Etc

Navigate the cloud ai chatbot ecosystem, including cloud co-work and cloud code, master ai models, deep thinking, custom prompts, data uploads, artifacts, and build practical, shareable projects for websites.

Discover how cloud AI and Claude AI serve as powerful AI assistants, enabling ask, work, and build workflows with chat-style interactions, a personal assistant, and app deployment.

Learn to set up Claude AI on web and system, sign up with Google or email, install on Mac or Windows, and explore cloud chat, cloud covert, and cloud code.

Explore the three layers of the cloud ecosystem—cloud chat AI, cloud code AI, and cloud co-work—as a research assistant, code builder, and personal work agent.

Explore cloud ai's dashboard to craft prompts, manage projects, skills, and connectors, and customize models, web search, and artifacts, with private incognito mode and account settings.

Explore AI model selection by comparing Haiku, Sonnet, and Opus in speed, cost, and capability. Haiku is fast and free; Sonnet is balanced; Opus offers top performance at a price.

Explore extended thinking, where prompt engineering lets the AI think before answering, set rules and context, and iterate with questions to refine responses.

Learn the concept of prompt engineering by understanding prompts as questions or instructions to an AI like Cloudy, and how crafting detailed, contextual prompts yields better, more targeted responses.

Master prompt engineering elements: defined role, instruction, context, and output—to improve AI responses, set behavior, and prompt questions before generating to ensure clear, tailored results.

Configure your Claude personal preferences to tailor responses by setting rules to avoid unnecessary information, require clarifying questions, cross-check web information, and save changes for consistent, simple language responses.

Upload files with the plus button, let cloud's vision analyze your data automatically, and get a simple summary, top products by revenue, regional performance, insights, and sales improvement suggestions.

Explore cloud artifacts, an AI-generated tool platform that builds interactive AI tools from prompts, from a budget planner to a writing editor, with customizable templates and analysis features.

Create a daily task tracker by building from scratch in artifacts with a custom prompt, auto-generating code for tasks, priority, and deadline, then edit, test, publish, and embed.

Convert your LinkedIn profile to a PDF, upload it to the cloud, and generate a prompt to build a complete portfolio website from the data.

Create and manage projects to organize prompts and tasks in one place, upload files, and generate five engaging hook variations by topic.

Discover how cloud AI skills convert capabilities into reusable, topic-driven tools, enabling powerful hook and script generation with customizable, shareable skills across projects.

Explore how cloud connectors and MCP enable AI tools to access external apps like Gmail, Google Drive, and Canva, and learn to connect and authorize third-party tools to automate tasks.

Connect apps with connectors to create a skill that drafts a birthday email in Gmail, naming the skill and configuring the recipient name input.

Enable Claude extensions locally to let Claude interact with your computer apps and data tools. Install and configure extensions like Apple Notes to create notes and control programs with approvals.

Explore the front-end foundations by detailing how HTML provides structure, CSS adds styling, and JavaScript enables interactivity, forming a complete, working website.

Install Python on Windows or Mac by downloading the standalone installer and running setup. Verify the installed version using python --version on Windows and python3 --version on Mac or terminal.

Install Visual Studio Code on Windows and Mac, download, install, accept the agreement, set up the Python extension, and test by writing and running a simple hello script.

Discover the concept of programming by learning how to prompt ai, specify website needs, and understand that programming tells computers what to do, with ai performing the coding.

emphasizes frameworks as pre-built templates that speed up app development by assembling components instead of building from scratch, with examples like django for authentication, admin panels, and databases.

discover how front end, back end, and database make web apps work, with front end using html css javascript, back end with python and django, and database storage.

Learn to set up Claude Code across Mac and Windows by installing cloud code, using the cloud AI extension or API key, and configuring VS Code to run Claude tasks.

Build a front-end only web app using HTML, CSS, and JavaScript to convert PNG to WebP in the browser, with plan mode and ask before edit prompts guiding AI-assisted development.

Learn to apply a consistent pattern across tools by reusing the same layout and style, enabling faster, uniform tool development with AI prompts.

Adopt modularity to split the snake game logic into distinct files and folders, enabling easier scaling and maintainability.

Learn to convert a local modular project into a web app using HTML, CSS, and JavaScript, keeping the same logic, pattern, and structure with AI guidance.

Learn how packages provide pre-built libraries you can use directly to speed up development, with examples like Pygame, NumPy, and Django, and install them with pip.

Create an isolated virtual environment for every project to prevent cross-project package version conflicts. Activate the environment and install dependencies locally with pip, using the appropriate mac or windows commands.

Explore databases as organized storage that save, manage, search, and retrieve data, and learn how ORM translates code into a universal language so Django can work with any database.

Set up a Django project using a virtual environment, install Django, run a migration, and launch the admin panel to manage users.

Build a simple blog site with Django by configuring a virtual environment and SQLite ORM; manage posts via the built-in admin to create and publish content.

Learn how APIs connect your app with third-party services like Google Maps and AI tools, enabling data exchange via API keys and third-party vendors.

Explore json basics, including json as a key-value format with curly braces and quoted text, and why api responses are returned in json for easy use in code.

Build a keyword research tool that mimics Google suggestions using a free API in a Django app; set up a virtual environment and a modular API workflow.

Learn to securely store API keys in a virtual environment using a .env file, with uppercase variables for keys like OpenAI, PayPal, and Stripe.

Master ai prompting with structured prompts by defining role, tasks, context, and rules to produce high-quality outputs; explore level two and data-driven level three prompts, including temperature and top P.

Build a step-by-step YouTube title generator using Python, Django, and OpenAI in VS Code, covering environment setup, prompts, templates, and generating five titles.

Understand the concept of GitHub as a cloud backup for code, using push to back up from your computer to a repository and pull to revert to previous versions.

Back up your local project to GitHub by creating a repository in GitHub Desktop, selecting the project folder, and publishing a private repository to your GitHub profile.

Discover how CSS frameworks and the CDN simplify styling by comparing plain HTML/CSS, Tailwind CSS, and Daisy UI. Leverage CDN to load libraries online with less code and zero files.

Build a web page analyzer using step by step setup, then scrap html, analyze with ai, and return a json report from a Django-based workflow.

Explore two web scraping approaches—Python libraries and third-party APIs—along with their limitations, including captchas, Cloudflare anti-bot systems, and IP blocking, and learn when to prefer APIs.

Learn to implement a fallback mechanism for AI and web scraping, using a master prompt template and UI design styles like Memphis or Cyberpunk to ensure continuity.

Apply this powerful template to build a two-page web page analyzer that scraps a URL with ScrappingDog and analyzes content with OpenAI, using AI fallbacks.

Learn how to manage API keys, configure environment files and gitignore, push projects to GitHub, and run automated tests to analyze web pages with cloud-based tools.

Configure custom error pages in Django to avoid exposing technical details during 404 and 500 errors. Set debug to false in settings.py and test locally for production.

Implement a token-based monetization system for your web app by adding tokens, managing balances and transactions, and testing through a Django admin, while addressing race conditions and integration with tools.

Add a modular billing system for your app, enabling token packages and payments via PayPal or Stripe, configured in Django admin with environment variables.

Develop secure apps by performing a security audit, changing the admin URL, safeguarding API keys, and applying AI-assisted fixes across accounts, analyzer, and billing, then running Django security checks.

Migrate the database from sqlite to postgresql for production, enabling multiple users and better performance. Deploy to railway, migrate data, and move credentials from settings.py to an environment file.

Convert your application into a universal docker container and publish it using GitHub deployment to Railway or other hosting platforms.

Explore cloud co-work as a personal assistant among cloud AI and cloud code. Sign up, compare free and pro access, and learn its workflows.

Download the cloud cowork app from cloud.com, install the mac dmg or Windows equivalent, then sign in with your paid plan to access cloud cowork, cloud code, and cloud chat.

Explore cloud ai and cloud code through free beginner courses, featuring two lessons and practical projects, and learn how to access cloud co-work via the website.

Explore the co-work ui navigation, from creating a new project task to organizing work, scheduling dispatches, and customizing features with ai commands and approval options, plus settings and cloud sharing.

Watch the first demo where you create a folder named cuckoo courses on your desktop, with subfolders for lesson, resource, and script, using cloud over with optional approvals.

Set up and use the cloud co-work browser extension in Chrome to authorize, navigate websites, analyze pages, extract information, and plan structured results.

Learn to use the claude browser extension to analyze a website's home page, extract the h1 and description, and generate improvement recommendations within an approval-based planning workflow.

Learn to use Claude Cowork extensions in a practical workflow: plan, open Gmail, locate the latest email, draft a reply, and verify with automated screenshots, while noting security cautions.

Connect your cloud co-work to third-party apps using built-in and custom connectors like Gmail, Google Drive, Canvas, and Slack, with adjustable permissions and approval flows.

Configure and customize connectors by adding third-party integrations, using OAuth client id and secret or an MCP server url, and manually edit configuration for firewall or cloud code setups.

Learn how cloud in Chrome lets the app run browser tasks, such as drafting emails in Gmail, using built-in connectors and cloud permissions to perform actions.

Harness built-in cloud skills to create reusable prompt templates with actions, using canva design to generate PNG and PDF visuals.

Learn to cowork with custom skills by browsing the marketplace, downloading or uploading skill files, and creating cloud-based skills to generate YouTube titles and Gmail drafts using connectors.

Schedule tasks automate recurring updates, like cloud news, by creating new tasks with models such as opus, sonnet, or haiku, choosing frequency and time, and enabling Google calendar integration.

Master the dispatch feature to pair your phone with your desktop, grant cloud access, and control your computer from your phone via prompts and pdf analysis.

Connect cloud code to apps using MCP, enabling and publishing workflows across cloud code and external services. Run automations, monitor executions, and see how a chat order workflow processes orders.