AI Coder: Complete Claude Code & Coding Agents

Learn how to use Claude Code and modern AI coding agents to understand codebases, plan changes, generate code, debug errors, write tests, automate reviews, work with Git, use MCP tools, create subagents and build safer AI-assisted development workflows.

about this course

AI Coder: Complete Claude Code & Coding Agents is a practical, instructor-led course for developers, technical learners and automation-focused professionals who want to use AI coding tools more effectively. The course covers real development workflows including codebase exploration, planning changes, generating code, debugging, refactoring, testing, Git, pull requests, project instructions, MCP tools, specialist subagents and safer human-in-the-loop review habits. It teaches learners to use AI coding agents responsibly with clear prompts, testing, code review, permission controls and security awareness.

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AI Coder: Complete Claude Code & Coding Agents Course Overview and Modules

Want to move beyond basic “write this code for me” prompting and actually use AI like a practical coding assistant? This course teaches you how to work with Claude Code and coding agents in a structured way: understand an existing project, plan a change, ask the agent to edit files, run tests, fix errors, review the result and prepare work for Git. You will learn how to use agentic coding safely and productively instead of creating messy, unverified code. This course can help you:

Set up and use Claude Code for practical software development workflows
Ask better coding prompts for bug fixes, feature work, refactoring, tests and documentation
Use project context, CLAUDE.md, commands, planning workflows and memory-style instructions effectively
Work with Git branches, commits, pull requests, diffs and code review in an AI-assisted workflow
Create specialist coding agents and subagents for review, testing, documentation, security checks and refactoring
Connect AI coding workflows to external tools using MCP concepts, hooks and safe automation patterns

Prerequisites

This is not a complete beginner programming course. Learners should have basic coding knowledge in at least one language such as JavaScript, Python, PHP, HTML/CSS or similar. Learners should also understand basic terminal usage, folders/files, Git basics, code editors such as VS Code, and the idea of running a local project or test command. You do not need to be an expert developer, but you should be comfortable reading code and following technical instructions.

Certification Alignment

This is a practical skills-based Codionix course focused on AI-assisted coding workflows rather than a formal certification exam. The course is aligned with official Claude Code documentation, Anthropic Claude Code best practices, Claude Code security guidance, Model Context Protocol concepts, GitHub Copilot coding agent concepts, and modern software development workflows involving Git, pull requests, testing, documentation and code review. Learners who want to progress further may move into software development, AI automation engineering, DevOps workflows, agentic AI development, prompt engineering, secure code review or AI-enabled product development.

Practical Application

Includes guided hands-on coding agent exercises. Learners practise using Claude Code to explore a sample codebase, explain project structure, generate a change plan, edit files, debug errors, run tests, improve documentation, create commit messages, review diffs, write task prompts, create reusable commands, draft CLAUDE.md project instructions, design a testing checklist, create a code-review agent, create a security-review agent, use MCP-style thinking to connect external context, and set up safer workflows using permissions, hooks and manual review checkpoints. The course can be adapted for JavaScript, Python, WordPress/PHP, web apps, automation scripts or the learner’s own technical environment.

Skills You Will Gain

Use Claude Code effectively, write better coding prompts, understand agentic coding workflows, explore unfamiliar codebases, plan features, debug errors, refactor code, write and run tests, review AI-generated changes, manage context, use CLAUDE.md, apply slash commands, create reusable workflows, understand MCP integrations, build specialist subagents, use hooks for automation, work with Git and pull requests, apply secure coding checks, avoid common AI coding mistakes and build a safer human-in-the-loop development process.

What you will learn in AI Coder: Complete Claude Code & Coding Agents Certification

A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.

Use Claude Code for Real Coding Workflows

Learn how to use Claude Code to understand a codebase, plan implementation steps, edit files, run commands, fix errors, verify changes and prepare work for review.

Write Better Prompts for Coding Agents

Practise writing task prompts with clear goals, constraints, acceptance criteria, file scope, testing requirements, coding standards and review expectations.

Manage Context, Instructions and Commands

Use project instructions, CLAUDE.md, slash commands, planning workflows, compacting context and reusable task templates to keep agent work focused and consistent.

Create Specialist Subagents and Agent Workflows

Design specialist agents for code review, testing, documentation, refactoring, security checks and debugging, then learn when to use one agent, subagents or parallel agent workflows.

Connect Tools with MCP and Automation Patterns

Understand how MCP-style integrations help coding agents work with tools, issue trackers, databases, documentation, monitoring data and APIs, while keeping permissions and data exposure under control.

Review, Test and Secure AI-Generated Code

Build safer habits for checking AI-generated changes, including reviewing diffs, running tests, scanning for secrets, checking permissions, avoiding destructive commands and keeping a human in control.

AI Coder: Complete Claude Code & Coding Agents Course Statistics

Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.

Certification

AI Coder: Complete Claude Code & Coding Agents

Exam Code

—

Starting from

£275

Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.

Who This Course Is For

AI Coder: Complete Claude Code & Coding Agents is designed for junior developers, web developers, WordPress/PHP developers, Python learners, JavaScript learners, IT trainers, automation builders, technical freelancers, software teams, DevOps learners, startup founders and technically confident professionals who want to use AI coding agents properly. It is also suitable for organisations that want developers or technical staff to adopt Claude Code, AI coding assistants and coding agents in a safer, more structured and more productive way.

Certification & Exam Information

Course Information

AI Coder: Complete Claude Code & Coding Agents

Training Format

Type: Practical instructor-led AI coding, Claude Code and coding agents course
Duration: 3 Days standard delivery or 5 Days extended practical format
Daily Teaching Time: 4 hours per day
Delivery: Live online or private team delivery
Assessment: Guided practical tasks, codebase exploration, AI-generated change review, prompt exercises, Git workflow tasks and final mini-project
Certificate Awarded: Certificate of Completion from Codionix IT Training UK
Notes: This course does not include a formal vendor certification exam. Claude Code, Anthropic and related trademarks belong to their respective owners. This course is independent training created by Codionix IT Training UK

Skills Covered

Claude Code setup, terminal workflow, codebase exploration, planning, editing, debugging and verification
Prompting for coding tasks including features, bug fixes, refactoring, tests, docs, reviews and acceptance criteria
Project instructions, CLAUDE.md, reusable commands, context management, planning mode and session organisation
Git workflows including branches, diffs, commits, pull requests, commit messages and human code review
Specialist coding agents and subagents for review, testing, documentation, security checks and refactoring
MCP concepts, hooks, permissions, safe automation, privacy awareness, secrets handling and secure AI coding habits

Recommended Next Steps

AI Automation & Workflows with n8n
Python for Data Science and Machine Learning
Full Stack Web Development with AI Tools
DevOps, GitHub Actions and AI-Assisted CI/CD
Secure Coding and AI Code Review Workflows

AI Coder: Complete Claude Code & Coding Agents Careers & Salaries in the UK

Junior Software Developer (£30,000+ starter)

Web Developer (£27,000+ starter)

Prompt Engineer (£40,000 avg)

AI Engineer (£63,000 avg)

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Frequently Asked Questions – AI Coder: Complete Claude Code & Coding Agents

We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.

What is the AI Coder: Complete Claude Code & Coding Agents course about?

This course teaches practical AI-assisted coding workflows using Claude Code and modern coding agent concepts. You will learn how to explore codebases, plan changes, generate code, debug errors, write tests, review diffs, use Git, create subagents and apply safer human-in-the-loop coding habits.

Who should take this Claude Code course?

It is suitable for developers, coding learners, web developers, WordPress/PHP developers, Python learners, JavaScript learners, technical freelancers, automation builders, DevOps learners, IT trainers and teams that want to use AI coding agents more effectively.

Do I need programming experience?

Yes, some basic programming knowledge is recommended. This course is not designed to teach coding from zero. You should be able to read simple code and understand basic terminal, Git and code editor workflows.

Will I learn Claude Code from setup to practical use?

Yes. The course covers Claude Code setup concepts, terminal usage, project instructions, codebase exploration, prompt writing, planning, editing files, running commands, debugging, testing, Git workflows and reviewing AI-generated changes.

Does the course cover coding agents, not just Claude Code?

Yes. Claude Code is the main practical focus, but the course also explains general coding agent workflows, including how agents plan, edit, test, review, create pull requests, run background tasks and work with repository context.

Will I learn about CLAUDE.md and project instructions?

Yes. You will learn how to create useful project instructions using CLAUDE.md, including coding standards, architecture notes, preferred commands, testing requirements, review checklists and project-specific guidance.

Will I learn subagents and specialist agents?

Yes. The course covers the idea of specialist subagents for tasks such as code review, test writing, documentation, security review, debugging and refactoring, including when to delegate work and when to keep one focused agent session.

Does the course cover MCP and external tool integrations?

Yes. You will learn the concepts behind MCP and how coding agents can connect to external tools, issue trackers, APIs, documentation, databases and monitoring data. The course focuses on practical understanding and safe integration patterns rather than exposing sensitive systems without controls.

Will this course teach safe AI coding practices?

Yes. A major part of the course is reviewing AI-generated code, running tests, checking diffs, managing permissions, protecting secrets, avoiding unsafe commands, validating outputs and keeping humans responsible for final decisions.

Does this course include a certification exam?

No. This is a practical skills-based course and does not include a formal vendor certification exam. Learners receive a Certificate of Completion from Codionix IT Training UK after successful participation.

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