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Claude Code in Action Course
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Claude Code in Action Course

Claude Code in Action gives developers a hands-on command of Anthropic's agentic CLI tool — from writing precision prompts to automating full development pipelines. You'll debug faster, generate production-ready code, and integrate AI assistance directly into your team's workflow. Stop experimenting blindly and start shipping smarter.

Dedika for students

What your team will master:

  • Configure Claude Code from scratch and navigate its CLI interface with confidence.

  • Build reusable prompt patterns for code generation, debugging, refactoring, and testing.

  • Automate repetitive development tasks using safe, multi-step agentic pipelines.

  • Integrate Claude Code into Git workflows, CI/CD pipelines, and team environments.

  • Identify and close test coverage gaps by generating targeted unit and integration tests.

  • Establish governance, permission controls, and cost monitoring for team-wide deployments.

How your team learns in practice Claude Code in Action Course

How your team practises Claude Code in Action Course

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Course content

8 Chapters • 32 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Getting Started with Claude Code

  • Lesson 1 • Installing and Configuring the Environment

    Walks through installation prerequisites, authentication, and initial configuration. Ensures every student has a functional, authenticated Claude Code setup.

  • Lesson 2 • Navigating the Claude Code Interface

    Covers the interactive REPL, slash commands, and session lifecycle. Students gain fluency with the interface before writing any real prompts.

  • Lesson 3 • What Claude Code Is

    Defines Claude Code as an agentic CLI tool and explains how it differs from chat-based AI. Establishes the conceptual baseline for all subsequent chapters.

  • Lesson 4 • Understanding Context and Memory

    Explains how Claude Code maintains context within a session and its limitations. Students learn to structure work to stay within effective context boundaries.

Chapter 2See details

Crafting Effective Prompts for Code Tasks

  • Lesson 1 • Anatomy of a Strong Coding Prompt

    Breaks down the components of high-quality prompts: goal, constraints, context, and output format. Provides a reusable template students apply throughout the course.

  • Lesson 2 • Prompt Patterns for Common Code Tasks

    Catalogues proven prompt patterns for generation, explanation, refactoring, and debugging. Students build a personal prompt library for daily use.

  • Lesson 3 • Iterative Prompt Refinement

    Introduces a feedback loop for improving prompts when initial results miss the mark. Students practise diagnosing prompt failures and applying targeted fixes.

  • Lesson 4 • Providing Code Context Effectively

    Teaches how to supply existing code, file paths, and project structure to Claude Code. Students learn which context is essential versus noise.

Chapter 3See details

Code Generation and Scaffolding

  • Lesson 1 • Validating and Integrating Generated Code

    Teaches a review checklist for generated code before merging into a codebase. Students learn to spot hallucinated imports, incorrect logic, and style violations.

  • Lesson 2 • Scaffolding Project Structures

    Demonstrates generating full directory layouts, config files, and entry points for new projects. Students scaffold a complete starter project during practice exercises.

  • Lesson 3 • Generating Functions from Specifications

    Covers translating written requirements into working function code. Students practise writing specs that yield correct, idiomatic implementations.

  • Lesson 4 • Generating Boilerplate and Repetitive Code

    Focuses on automating repetitive patterns such as CRUD operations, data models, and API routes. Students measure time savings versus manual coding.

Chapter 4See details

Debugging and Code Explanation

  • Lesson 1 • Submitting Bugs for Diagnosis

    Covers how to present error messages, stack traces, and failing code for accurate diagnosis. Students learn the minimum reproducible context needed for reliable fixes.

  • Lesson 2 • Explaining Unfamiliar Code

    Demonstrates prompts that produce plain-language explanations of complex or legacy code. Students apply this to real inherited files in practice exercises.

  • Lesson 3 • Documenting Bugs and Fixes

    Shows how to use Claude Code to draft bug reports, changelogs, and fix summaries. Students produce documentation artefacts alongside code changes.

  • Lesson 4 • Interpreting Diagnostic Explanations

    Teaches students to evaluate Claude Code's bug explanations critically and verify proposed root causes. Connects diagnosis to the broader debugging workflow.

Chapter 5See details

Refactoring and Code Quality Improvement

  • Lesson 1 • Identifying Refactoring Opportunities

    Teaches prompts that surface code smells, duplication, and complexity hotspots. Students build a prioritised refactoring backlog from Claude Code's analysis.

  • Lesson 2 • Applying Targeted Refactoring Patterns

    Covers extract-function, rename, simplify-conditional, and other common refactoring patterns. Students apply each pattern with Claude Code assistance and verify outcomes.

  • Lesson 3 • Enforcing Style and Conventions

    Demonstrates using Claude Code to align code with team style guides and linting rules. Students produce consistently formatted output ready for code review.

  • Lesson 4 • Reviewing Refactored Code Safely

    Establishes a safety checklist for verifying that refactoring preserves behaviour. Students use diff reviews and test runs to validate every change.

Chapter 6See details

Test Writing and Quality Assurance

  • Lesson 1 • Writing Integration and End-to-End Tests

    Extends test generation to multi-component flows and user-facing scenarios. Students learn to describe system behaviour so Claude Code produces meaningful integration tests.

  • Lesson 2 • Maintaining Tests as Code Evolves

    Addresses updating tests after refactoring or feature changes using Claude Code. Students establish a workflow that keeps tests synchronised with production code.

  • Lesson 3 • Generating Unit Tests from Code

    Covers prompts that produce unit tests for existing functions, including happy paths and failure cases. Students generate a full test suite for a sample module.

  • Lesson 4 • Improving Test Coverage Strategically

    Teaches how to use coverage reports as input for targeted test generation prompts. Students close coverage gaps efficiently without redundant tests.

Chapter 7See details

Agentic Workflows and Automation

  • Lesson 1 • Monitoring and Debugging Agentic Runs

    Teaches how to inspect logs, detect failures mid-run, and resume or restart agentic tasks. Students practise diagnosing and recovering from common pipeline failures.

  • Lesson 2 • Understanding Agentic Task Execution

    Explains how Claude Code plans and executes multi-step tasks, including tool use and file edits. Students understand the execution model before designing their own pipelines.

  • Lesson 3 • Designing Safe Agentic Pipelines

    Covers permission scoping, confirmation checkpoints, and rollback strategies for autonomous tasks. Students apply safety patterns to prevent unintended file or system changes.

  • Lesson 4 • Automating Repetitive Development Tasks

    Demonstrates automating tasks such as dependency updates, code migrations, and report generation. Students build and test a complete automation pipeline end to end.

Chapter 8See details

Advanced Configuration and Team Integration

  • Lesson 1 • Governance, Permissions, and Cost Control

    Addresses permission models, usage limits, and cost monitoring for team deployments. Students configure guardrails that balance productivity with budget and security constraints.

  • Lesson 2 • Managing Shared Memory and Context

    Explains memory files, persistent notes, and how to share context across team members. Students set up a shared memory structure for a multi-developer project.

  • Lesson 3 • Customising Claude Code with Config Files

    Covers CLAUDE.md, settings files, and project-level configuration for consistent behaviour. Students create a project config that encodes team conventions and tool preferences.

  • Lesson 4 • Integrating Claude Code into CI/CD Pipelines

    Demonstrates running Claude Code in headless mode within automated pipelines for code review and generation. Students add a Claude Code step to an existing pipeline.

Certification

Your valid completion certificate

This course is for you:

  • Mid-level developers: ready to move beyond basic AI chat tools into real automation.

  • DevOps engineers: looking to embed AI-assisted code review into existing pipelines.

  • Freelance developers: wanting to deliver client projects faster without sacrificing quality.

  • Tech leads: responsible for evaluating and rolling out AI tooling across their teams.

  • Self-taught programmers: eager to professionalise their workflow with structured AI assistance.

  • Backend engineers: inheriting legacy codebases they need to understand and modernise quickly.

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