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 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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.