AI · AIC-56

Claude Code Roadmap 12 Units: From Fundamentals to AI Coding Workflow

30 hours 5 days

Last updated 25 Sep 2026

Claude Code Roadmap 12 บทเรียนจากพื้นฐานสู่ AI Coding Workflow

Claude Code Roadmap 12 Units: From Fundamentals to AI Coding Workflow is a 30-hour training course by IT Genius Institute. Claude Code is not merely a tool for asking an AI to write code. It acts as an AI coding agent that understands project structure, reads files, edits source…

Training schedule

No public rounds are open right now — register your interest and we will contact you when the next round opens, or request an in-house session for your team.

Corporate training quote

Claude Code is not merely a tool for asking an AI to write code. It acts as an AI coding agent that understands project structure, reads files, edits source code, runs commands, tests the system and works alongside a real development workflow. Anyone still using it one question at a time, copying snippets back into the editor, is capturing only a fraction of what it can do. This course walks learners through 12 units in order: the first Claude Code CLI session, building project context with a CLAUDE.md file, using Plan Mode to separate planning from editing, running the

full agentic loop, integrating with Git from commit through pull request, connecting external tools via the Model Context Protocol, building Claude Skills for repeated work, running headless in automation and CI/CD pipelines, distributing work across parallel subagents, and customizing the environment with plugins for a whole team. It closes with a capstone project that assembles everything into a single multi-agent AI coding workflow. Three major project workshops anchor the course at units 3, 6 and 12, with a 30% lecture and 70% workshop split. (5 days, 6 hours per day, 30 hours in total, Beginner to Intermediate level.)

Objectives

Install, configure and operate the Claude Code CLI from the terminal correctly and safely
Build project context with a CLAUDE.md file so the agent follows project and team standards
Understand Plan Mode and the agentic loop, and know when to take back control
Integrate Claude Code into the version control workflow from code change to pull request
Extend capability through the Model Context Protocol to reach databases, APIs and external systems
Build Claude Skills that turn repeatedly explained knowledge into a permanent capability
Run Claude Code headless and connect it to automation workflows and CI/CD pipelines
Design multi-agent workflows with parallel subagents and synthesize results into one solution
Customize the team environment with plugins, custom commands and shared configuration

Who this course is for

Developers and programmers who want to adopt Claude Code systematically
Full stack, backend and frontend developers interested in AI-assisted development
DevOps engineers who want to wire AI into their automation workflow
Tech leads bringing an AI coding workflow to their team
Anyone using AI for code who wants to move from ad-hoc prompting to an agentic workflow
Software teams adapting Claude Code to their organization workflow

Prerequisites

Programming experience in at least one language and the ability to read a project structure
Basic command line and terminal skills
Basic Git knowledge such as commit, branch and pull request
A codebase or sample project of your own to work with during the course
No prior Claude Code experience needed; unit 1 starts from installation

Curriculum

Course Details

A 5-day course, 6 hours per day (30 hours in total), taught hands-on and project-based with a 30% lecture and 70% workshop split. Beginner to Intermediate level. Learners bring a laptop with Node.js and Git installed, an account for Claude Code, and their own codebase to work with across all five days. The course is divided into 12 units that progress from fundamentals to real application, with three major project workshops at units 3, 6 and 12. It focuses on using Claude Code as an AI coding agent and on designing AI coding workflows; it is not a course on any particular programming language or framework.

Day 1: Getting Started and Project Context (Units 1-3)

Unit 1: Getting Started with the Claude Code CLI

Installing and configuring the Claude Code CLI and working through the command line
Directing the agent in natural language and delegating coding tasks
Understanding how Claude Code reads a codebase, edits files and runs commands
Lab: start using Claude Code on a real project and delegate a basic programming task

Unit 2: Building Project Context with CLAUDE.md

What a CLAUDE.md file is and how to create one for your own project
Defining coding conventions, project architecture and codebase standards
Recording the terminal commands you use regularly and your development approach
Lab: write a CLAUDE.md that removes repeated prompting and keeps context consistent

Unit 3: Project 1, Setting Up Claude Code on a Real Project

Connecting Claude Code to your codebase and having it explore the project structure
Creating CLAUDE.md with coding conventions, architecture and project context
Delegating a real development task to Claude Code
Workshop: deliver a project fully configured for Claude Code, ready for day two

Day 2: Agentic Workflow and Git Integration (Units 4-6)

Unit 4: Plan Mode and the Agentic Loop

Plan Mode: analyzing requirements, analyzing the codebase and locating relevant files
Proposing architecture and an implementation plan, and assessing impact before coding
The full agentic loop: analyze, plan, implement, test, fix and verify
Lab: run the agentic loop on a real task and decide when to take back control

Unit 5: Using Claude Code with Git

Checking git status, analyzing code changes and staging files with Claude Code
Creating commits and having the agent write meaningful commit messages
Managing branches for features or bug fixes and reviewing code before committing
Lab: prepare and open a pull request through a Claude Code assisted workflow

Unit 6: Project 2, Delivering a Feature End to End

The full workflow: requirement, plan with Claude, implement, test, fix, commit, pull request
Analyzing a feature or bug and planning the implementation with Claude
Editing source code, adding or adjusting tests and verifying the result
Workshop: submit a pull request that is genuinely ready for team review

Day 3: External Tools and Reusable Skills (Units 7-8)

Unit 7: Connecting Claude Code to External Tools with MCP

Understanding the Model Context Protocol and the structure of an MCP server
Configuring an MCP server and connecting Claude Code to external tools
Connecting databases, APIs and external data sources, and calling tools from Claude Code
The architecture from Claude Code through MCP to external tools, APIs, databases and services
Permission and security considerations when giving an AI agent access to external systems
Lab: configure an MCP server and connect Claude Code to a real database or API

Unit 8: Building Claude Skills for Repeated Work

What Claude Skills are and how a skill folder is structured
Writing instructions, defining constraints and stating best practices
Packaging workflow and domain knowledge into something reusable
Applied examples: code review, API development, database migration and testing
Further examples: documentation, security checks, deployment and organizational coding standards
Lab: build at least one custom skill for your own recurring work

Day 4: Automation, Multi-Agent and Customization (Units 9-11)

Unit 9: Automating Claude Code

Headless and non-interactive operation, and invoking Claude Code from a script
Triggering work automatically and integrating with git hooks
Wiring Claude Code into a CI/CD pipeline: push, pipeline, analyze, test, review, result
Lab: automate code review, test generation or documentation

Unit 10: Parallel Subagents and Multi-Agent Workflow

The parallel subagent model and decomposing a problem into subtasks
Assigning tasks to several agents, for example frontend, backend, test and security
Running work in parallel and gathering the results back into one solution
Lab: split a large task across subagents running concurrently and synthesize the output

Unit 11: Plugins and Customizing the Claude Code Workflow

What Claude Code plugins are, installing them and exploring available extensions
Building custom commands, custom tools and workflow extensions
Sharing configuration across the team and packaging a workflow for distribution
Lab: set up a team environment with the same coding standards, commands, skills and tools

Day 5: Capstone, Building a Multi-Agent AI Coding Workflow (Unit 12)

Unit 12: Project 3, Building a Multi-Agent AI Coding Workflow

Assembling every unit: CLI, CLAUDE.md, Plan Mode, the agentic loop and Git
Extending it with MCP, skills, automation, parallel subagents and plugins in one project
Designing a main agent that analyzes and plans, then distributes work to subagents
Assigning roles across coding, testing, review and documentation agents
Connecting external tools through MCP and consolidating the results for verification
Carrying through to test, verify, git commit and pull request
Automating parts of the flow to remove manual developer work
Connecting this workflow to the software development process your team already runs
How to grow it into a workflow used for real work in the organization
Workshop: present the multi-agent AI coding workflow you built and review the design together

Frequently asked questions

Who is Claude Code Roadmap 12 Units: From Fundamentals to AI Coding Workflow for, and what background is needed?

Built for Developers and programmers who want to adopt Claude Code systematically · Full stack, backend and frontend developers interested in AI-assisted development · DevOps engineers who want to wire AI into their automation workflow Background you should have: Programming experience in at least one language and the ability to read a project structure · Basic command line and terminal skills Not sure the fit is right? Talk to our team on LINE @itgenius or call 02-570-8449.

How much does Claude Code Roadmap 12 Units: From Fundamentals to AI Coding Workflow cost and how long does it run?

THB 15,900 (currently THB 14,310 on promotion). The course runs 30 hours. The fee covers course materials, lunch and refreshments throughout. Pay by bank transfer to the company account, confirm it on our payment page, and we can issue the receipt or tax invoice in your company's name.

Do I get a certificate?

Yes. Everyone who completes the course receives a Certificate of Completion from IT Genius Institute. Each certificate carries its own number, and anyone holding that number can verify it online on our certificate page, so you can add it to your portfolio or pass it to HR as evidence of training.

Where does the training take place, and is there an online option?

You can attend onsite at IT Genius Institute or arrange to join online, and we also run it as a private in-house session for your team. Ask about dates and venues on LINE @itgenius or call 02-570-8449.

What if I fall behind or miss a session — can I retake it?

Yes. You may retake the same course free of charge in a later round, under the institute's conditions. Tell our team which course and round you attended, and we will check it and offer you the rounds that still have seats. Ask us on LINE @itgenius or call 02-570-8449.

How do I enrol, or request a quotation for my company?

Enrol online with the registration form on this page. You can register several attendees at once and enter your tax ID and billing address for the tax invoice. Or request a company quotation straight from the quote button. For anything else call 02-570-8449 or reach us on LINE @itgenius.