Claude Code: Agentic Coding

Name: Claude Code: Agentic Coding
Rating: 4.3 (5 reviews)

From code generation to deployment using AI-powered development for real-world applications

Created byEduonix Learning Solutions

Last updated 6/2026

English

English [Auto],

What you'll learn

Set up and navigate Claude Code through CLI and VS Code, understand how it differs from Copilot and ChatGPT, and start using AI as a practical coding partner.
Run agentic coding sessions to generate, refine, and manage code, while learning how Claude works across multi-file projects and fits into real codebases.
Debug applications faster with structured AI-assisted workflows, use Claude .md effectively, and build practical projects like websites using existing code.
Integrate Claude with MCP servers, databases, APIs, and Playwright, then build and deploy a finance dashboard from data ingestion to cloud release.

Course content

7 sections • 29 lectures • 2h 22m total length

What Is Claude Code — and How Is It Different?6:37
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.
Claude Code VS Copilot VS ChatGPT3:04
Choose the right tool for the right job: ChatGPT for learning and brainstorming, Cloud Code for building, and Copilot for collaborative coding and version tracking.
Installation & Setup (CLI + VS Code Extension)4:57
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.
Getting Familiar with UI8:05
Log in via the cloud icon, view and edit a sample document, and explore user interface and five modes, including ask before edits, plan mode, auto mode, and bypass permission.

Section Introduction1:36
Explore agentic coding with Cloud Code as you build a real Python script to clean messy customer data, using the plan-build-verify loop and permissions model basics and essential slash commands.
First Code2:37
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.
Section Summary17:31
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.

Section Introduction1:35
Explore cloud code with multi-file projects and full-stack apps, manage cloud.md and integrate cloud into existing codebases, while learning Git and GitHub basics, plugins, and workflow organization.
Showcase Website1:42
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.
Claude. md Deep Dive5:26
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.
Dropping Claude Into Existing Codebase7:28
Orient Cloud Code to an existing project by reading files, loading context, and generating a Cloud.md; plan refactoring and explore plugins from the Anthropic marketplace.

Section Introduction1:24
Develop a practical debugging mindset for cloud code, using real error messages and a structured session to produce tested fixes—plus a live debugging demo on handling cloud stalls.
The Debugging Mindset With AI5:02
Adopt an agentic coding and debugging mindset with AI by actively testing outputs, identifying mistakes, and following a detailed plan to build stable, error-free software.
Debugging In Action4:48
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.
Configuration Hierarchy10:05
Discover the configuration hierarchy of Claude's cloud, from project level cloud.md to global and enterprise policies, with memory, sub-directories, and API references to reduce debugging.
Section Summary1:49
Recognize cloud limits in capabilities and time estimates when using Cloud Code. Anticipate extending Cloud Code with the Model Context Protocol in the next module.

Section Introduction2:08
Learn about the model context protocol (MCP), its servers, and how to set up MCP connections to extend cloud code for real-time browser control, queries, and system reconfiguration.
What Is MCP Server2:01
Clarify MCP as model context protocol, a standardized system for providing context to AI models, configured in mcp.json, with three server types: official, community, and your own.
MCP Architechture4:24
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.
Are MCP's Local Or Global?1:54
Determine when to use local versus global MCPs, configure local mcp.json or cloud.json, and balance plugin installations to conserve tokens while maintaining cloud access.
MCP In Action6:09
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.
Configure MCP's2:00
Configure two MCP servers: a browser automation MCP using PlayWrite to open browsers, fill forms, click buttons, verify frontends, and a database MCP to ask questions in English without SQL.
Install MCP's3:55
Install your first Playwright MCP by planning with cloud, choosing local vs remote and headless vs visible, then configure via .mcp.json and verify with the mcp command.
Testing MCP's1:35
Learn how to test Claude Code's MCP by simulating browsing tasks—scrolling, clicking, and capturing screenshots—to verify frontend changes and visual alignment in apps like Amazon and Apple.
Installing SQLite MCP's5:16
Install an sqlite MCP to query a database without sql using cloud code and an mcp.json, test with a mock store.db, and review authentication and security notes.
Section Summary0:56
Gain MCP fluency by learning to install and locate MCPs, explore the official MCP registry and related data on GitHub, and prepare to build a dashboard in your next project.

Project Introduction2:14
Apply AI and cloud code to build an end-to-end finance dashboard from a messy expense CSV, guided by a Friday-to-Tuesday scenario and live debugging.
Finance Dashboard in an Afternoon22:16
Build a finance dashboard by cleaning an expenses dataset and deploying a streamlit app that shows year-to-date spend, monthly trends, and anomalies. Convert to sqlite and share via streamlit cloud.

Requirements

Basic programming knowledge and familiarity with code editors help, but no Claude Code experience is needed—everything is taught step by step.

Description

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.

Who this course is for:

Developers, students, and tech professionals who want to use Claude Code to build, debug, and ship real-world applications faster with practical AI workflows.

Claude Code: Agentic Coding

What you'll learn

Explore related topics

Course content

Welcome to Claude Code4 lectures • 23min

Your First Agentic Coding Session3 lectures • 22min

Managing Multi-File Projects4 lectures • 16min

Debugging Code with Claude in the Loop5 lectures • 23min

MCP Server Integrations10 lectures • 30min

Case Study2 lectures • 25min

Course Wrap-Up1 lecture • 4min

Requirements

Description

Who this course is for: