
Understand Cloud Code and how agentic coding differs from chatGPT and Copilot. Explore installation in three ways and the first run with the Cloud.md system prompt.
Install cloud code via the terminal, the Anthropic Cloud desktop application, or a VS Code extension, after installing Node.js 20+, then log in and activate Cloud Pro for remote access.
Develop agentic coding by building a working workspace with a framework and Python script. Use cloud tools to manage and verify the loop and clean up dead code and clutter.
Explore how cloud code structures a project with cloud.md, creates skills and agents folders, uses sub-agents for research and review, and leverages context management and plan mode to build skills.
Explore how Cloud Code builds a modern showcase website with a working chatbot in an hour, plus a full-stack case study of a video library with automation saving 80k annually.
Defines cloud.md as the central table of contents for cloud code, a living, updatable file that avoids secrets and explains a self-annealing error-fix loop.
Watch debugging in action as Claude runs a skill to compute course grades, identify bugs, and perform agentic coding code reviews with fixes; learn tests, smoke tests, and dry runs.
Understand the MCP architecture as a USB-like protocol that connects hosts, clients, and servers to plug in services such as Slack, Gmail, Calendar, and Google Drive through Cloud.ai.
Explore how MCPs operate in practice inside Anticravity by enabling connectors, using plugins like context-7, and managing tokens to balance context window and on-demand loading.
This course is built to help you confidently use Claude Code as a powerful AI-driven development partner for real-world software projects.
You’ll begin by understanding what Claude Code is, how it differs from tools like GitHub Copilot and ChatGPT
, and how to set it up through both the command line and the Visual Studio Code extension. From there, you’ll get comfortable with the workflow, interface, and core capabilities so you can start building productively from day one.
As the course progresses, you’ll step into your first agentic coding sessions—learning how to generate code, refine implementations, manage iterations, and collaborate with AI more effectively. You’ll then move beyond simple examples into practical multi-file projects, where you’ll learn how Claude Code works inside existing codebases, why Claude. md matters, and how to structure AI-assisted development for maintainability and speed.
You’ll also learn how to debug more efficiently by keeping Claude Code in the development loop. Through structured troubleshooting workflows, you’ll identify issues faster, understand root causes more clearly, and implement cleaner fixes with confidence.
The course then expands into advanced workflows with MCP server integrations, where you’ll connect AI-assisted development to databases, APIs, and browser automation using Playwright. These sections show how Claude can move beyond code generation into real engineering workflows.
In the final part of the course, everything comes together in a practical end-to-end case study. You’ll build a complete finance dashboard—from data ingestion and analysis to web application development and cloud deployment—while applying the same workflows used in modern production environments.
By the end of this course, you’ll know how to use Claude Code to build faster, debug smarter, and ship real-world applications with greater confidence, making it a valuable part of your everyday development workflow.