
Learn to use cloud as a professional workspace, building persistent knowledge bases, performing deep research, analyzing real data, and exploring cloud code and MCP integrations to save hours.
See how Claude differs from other AI tools with human-like writing, complex reasoning, and direct tool connections. Explore Claude as a workspace with projects, memory, and customizable skills for work.
Take a quick tour of Claude's main chat screen, learn to attach files and screenshots, and choose models like 4.6. Explore memory, web search, extended thinking, skills, projects, and artifacts.
Build an ai-powered workspace by creating a Claude project, uploading your knowledge base and brand assets, and configuring project instructions. Each project keeps isolated memory and grounded in your documents.
Create artifacts in Claude to generate shareable dashboards and apps. Prompt a dummy dashboard in the panel to render revenue bars, a churn line chart, and regions dropdown.
Explore artifacts created by Claude, including a sales dashboard with metrics like total revenue, growth, and churn, and learn to view the underlying React component code and feed it data.
Explore Claude's memory features, memory customization, and a new memory tool, then enable research mode and extended thinking to tackle complex tasks with extended search.
Discover how an executive report grounds 456 sources in 10 minutes, mapping DPDB video regulation to use cases like BFSI, healthcare, telemedicine, and EdTech, with insights on pricing and procurement.
Master explicit prompts and xml-style tagging to steer Claude, reduce tokens, and improve outputs. Apply role-context-task-output prompts, few-shot examples, and iterative refinement to save time and money.
Explore how to draft customer emails, produce executive summaries from reports, and extract meeting decisions and actions with Claude for faster, smarter work and time savings.
Effortlessly analyze large csv data, generate key trends and visualizations, and segment customers with purchase frequency and average order value to reveal the highest value segment.
Demonstrates turning slides into an eight-slide PowerPoint artifact with a title slide, executive summary, findings and charts, and a recommendation slide, using navy and green branding and Claude's PPTX output.
Build a personal skills toolkit from scratch using skill.md file and multi-file architectures, carrying Claude code and workflows into every session.
Explore agent skills to reduce prompt fatigue by turning repetitive instructions into portable knowledge your AI coding assistant can apply across projects, with rules, skills, and MCP tools.
Map the agent skills landscape to show how Claude code, Cursor, and MCP relate. Explore progressive disclosure, context window, and the four tiers of cursor rules to guide section 2.
Explore MCP, an open standard that gives AI models a universal, secure interface to connect with external tools and real-time data, enabling multi-server integration and scalable, real-world assistants.
Discover how MCP, the model context protocol, unlocks real tool use for AI models like Claude, enabling safe, live access to systems through one configuration and open source tooling.
Learn how model context protocol (MCP) enables clients like Claude to request actions via capabilities, with servers handling business logic and data from tools such as GitHub or notion.
Compare Claude, ChatGPT, Gemini, and Copilot to guide tool selection, noting Claude's leading writing quality and context window for writing, coding, and analysis.
Install and configure Node.js, cloud code, the command-line interface, and the cloud ide or cursor to set up a project with dot cloud and dot cursor skills.
Build your first Claude commit message skill from scratch to analyze staged git changes and auto-generate conventional, structured commit messages via a slash command.
Explore building a multi-file code review skill with pattern A and pattern B structures, adding scripts and references, and plan for MCP pattern C orchestration.
Identify five common mistakes in skill building and learn fixes for writing clear descriptions, lean skill bodies, scope control, good examples, and systematic testing.
Explore the Explainx skill marketplace on the xplenix.ai platform, learn to locate, copy, and add skills like caveman to your cloud projects, and optimize code with a 75% token reduction.
Explore vast skill marketplaces, locate and evaluate production-ready Claude skills from the Anthropic repository to plugins, and install, test, and publish them with npx skills publish.
Explore the caveman skill, an open source tool that trims AI output tokens to cut costs and boost accuracy through brevity, with up to 75% token reduction.
Install Python with path, choose an IDE, set up a UHV environment, and use Cloud Desktop as a client to work with MCP servers.
Set up a first simple MCP server by building a calculator that handles basic additions using the MCP package, virtual environment, and CLI tools for deployment and testing.
Set up a leave manager project by creating a uv environment, installing the mcb cli, and wiring a server.py to power a cloud desktop client through the MCP framework.
Build a leave management server with the MCP package, modeling employees and leave requests, setting up a sqlite database, and exposing MCP resources to manage leaves, approvals, and queries.
Run the MCP dev server using the MCP dev server dot pi command, inspect the port, and configure the MCP JSON entry point for client or cloud setups.
Configure and run a leave management system with Claude client on cloud desktop, enabling developer mode, editing config, installing the MCP server, and managing leaves and employees in SQLite.
Build a project management server by initializing the project, creating data classes for tickets and projects, implementing database functions with SQLite, debug and deploy using MCP tools and cloud.
Debug your way through problems in your MCP servers, learn where to find the necessary documentation, and apply strategies when using Claude as a client, including DB creation issues.
Claude is the AI tool professionals are switching to. This is the course that shows you exactly how to use it.
Most Claude courses fall into one of two camps: too basic (here's how to type a prompt) or too technical (here's how to deploy an agent in a terminal). This course sits in the middle — where real work actually happens. It's for the marketer who wants faster campaigns, the analyst who wants sharper reports, the developer who wants to ship faster, and the team leader who needs to make smart AI decisions. All in under two hours, all with screenshare demos you can follow along with immediately.
What makes Claude different — and why it matters for your work
Claude, built by Anthropic, has become the preferred AI tool for serious professional output. Not because of hype — because of results. It writes better long-form content than any other model. It processes up to 1 million tokens of context, meaning entire codebases, lengthy contracts, and massive datasets fit in a single conversation. It scored 80.8% on SWE-bench, the industry's toughest coding benchmark. And it connects to your real tools — Slack, Gmail, GitHub, Google Drive, Excel, Salesforce — through MCP (Model Context Protocol), an open standard adopted across the industry.
Companies like Deloitte (470,000 employees), Stripe, and Ramp have made Claude their primary AI platform. Claude Code now accounts for 4% of all public GitHub commits. This is not a novelty tool — it's the one professionals are building workflows around.
What you'll learn in this course
This course covers Claude's complete feature set as of 2026 through five focused sections, each built around live screenshare demos.
Section 1 — Why Claude and how to get started: You'll understand what separates Claude from ChatGPT, Gemini, and Copilot from the first lecture. Then you'll choose the right plan — Free, Pro, Max, Team, or Enterprise — based on your actual usage needs. And you'll get a complete tour of the Claude interface so you're comfortable and productive from day one.
Section 2 — The features that change everything: This is the heart of the course. Projects let you build persistent AI workspaces with uploaded knowledge bases, custom instructions, and team sharing — Claude becomes a domain expert on your business. Artifacts generate interactive documents, dashboards, calculators, and working web applications from conversation. Memory means Claude remembers your preferences, communication style, and ongoing work across every session. And Research Mode conducts multi-source web research in minutes, producing structured reports with inline citations.
Section 3 — Prompting like a pro and business workflows: You'll learn the Claude-specific prompting techniques that professionals actually use — XML tags, system prompts, role prompting, few-shot examples, and multi-turn refinement. Then you'll watch live demos covering email drafting, report writing, meeting notes, CSV data analysis with generated visualisations, slide deck creation, Excel formula generation, and full marketing campaign production. Every workflow demo uses realistic scenarios you can replicate on your own work the same day.
Section 4 — Claude for developers and power users: Claude Code is an agentic terminal tool that reads entire codebases, writes across multiple files, runs tests, and creates pull requests through natural language. You'll see it installed and used live. Then MCP — connecting Claude to Slack, GitHub, databases, and 100+ other tools through a single open standard — is covered end to end. Finally, you'll get a practical API overview: making your first call, using tool use, and understanding the Agent SDK for building agentic applications.
Section 5 — Choosing wisely and building your system: An honest, data-driven comparison of Claude versus ChatGPT, Gemini, and Copilot — covering context window performance, writing quality, coding benchmarks, ecosystem fit, safety, and pricing. Then a step-by-step guide to building your personal Claude workflow: configuring memory, setting up your core Projects, building a reusable prompt library, connecting your tools, and maintaining a weekly review rhythm.
Why this course — and not the others
There are now dozens of Claude courses on Udemy. Most fall short in one of three ways: they cover only Claude Code (useful for developers, inaccessible to everyone else), they're built around a single use case like marketing or business automation, or they're outdated the moment they're published. This course is different on all three fronts.
It covers every major Claude feature — web app, Projects, Artifacts, Memory, Research Mode, Extended Thinking, Claude Code, MCP, API, Claude for Excel, Claude for PowerPoint, Claude for Chrome, and Cowork — in one place. It's designed for mixed audiences: Sections 1–3 require nothing beyond a web browser; Section 4 is built for developers; Section 5 serves team leaders and decision-makers. And it's kept current — when Anthropic ships significant new features, this course is updated. Your enrolment includes all future updates at no extra cost.
We will also cover Claude Design, something recently lost and can help you improve your frontend design by 10 fold.
We will also cover skills like Caveman, premium frontend, seo-geo, and so on.
What's included
Every lecture features a live screenshare demo you can follow in real time. The course resource pack includes a downloadable prompt template library with 20 role-specific templates for marketing, sales, operations, HR, engineering, and leadership — plus an XML tag cheat sheet and model selection decision tree you can keep open while working.
Who this is for
Business professionals who want to eliminate the hours they spend on emails, reports, data analysis, and presentations. Developers and engineers looking to master Claude Code, the API, and MCP integrations. Team leaders evaluating AI tools and planning deployment across their organisation. Anyone currently using ChatGPT or Gemini who wants to understand why Claude is different and how to get the most out of it.
Who this is not for
If you want a course that goes 15 hours deep on a single use case — like building full-stack applications with Claude Code or running enterprise-scale Cowork deployments — this course is a strong foundation but not the endpoint. It's designed to make you highly proficient across all major Claude features, not to specialise you in one.
A note on the pace of change
Claude's feature set moves fast. In the past six months alone, Anthropic has shipped 1 million token context windows, Adaptive Thinking, Cowork, the Excel and PowerPoint add-ins, the Chrome extension, and Claude Code's agent team capabilities. This course is built for March 2026 and updated as the platform evolves. If you're reading this and wondering whether the content is current — it is.
Start today
The professionals who master AI tools now will have a significant advantage over those who wait. This course gets you from curious to capable in under two hours — with a practical system you'll use every single day. Enrol now and start with the first lecture.