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Mastering Claude Code: A Practical Course

A Comprehensive Course for Mastering Claude Code, Multi-Agent Workflows, and Enterprise Deployment

The instructor has published 100% of this course.Last updated on 2026-07-30
Steve Publications

Master the future of AI-powered software development with Claude Code. In this hands-on course, you'll learn how to harness Anthropic's agentic coding system to build software faster, write better code, and automate complex development workflows. Starting with the fundamentals and progressing to advanced techniques like prompt engineering, multi-agent collaboration, automation, and security, each lesson includes practical, working examples you can apply immediately. Whether you're just getting started with AI-assisted development or looking to take your engineering workflow to the next level, this course will give you the skills and confidence to use Claude Code effectively in real-world projects.

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About

About

About the Course

This course teaches you how to use Claude Code, Anthropic's agentic coding system that has fundamentally changed how software gets built. You will learn everything from installation and your first session through advanced techniques like prompt engineering, multi-agent workflows, automation, and security best practices. Every lesson includes complete, working examples you can follow, adapt, and apply to your own projects. Whether you are a developer new to AI-assisted programming or an experienced engineer looking to master agentic workflows, this course provides the patterns and practical guidance needed to be productive from day one.

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Instructor

About the Instructor

Steve Publications

Steve is a technology professional with more than 20 years of experience in software development, server infrastructure, cybersecurity, vulnerability research and reverse engineering. Throughout his career, he has designed, secured, analyzed and tested complex software and infrastructure, with a particular focus on understanding how systems fail and how they can be made more secure.

Outside of work, Steve enjoys sharing knowledge with the technology community. He collaborates with researchers, industry experts and technology professionals to write practical books covering software development, cybersecurity, cloud computing, networking, DevOps, artificial intelligence and enterprise technologies. His books focus on practical learning through clear explanations, real-world examples and hands-on exercises. With more than two decades of industry experience, his goal is to help IT professionals, students and technology enthusiasts build useful skills and stay current in a rapidly changing industry.

We believe readers deserve to know how our books are created. Most of our authors are not native English speakers, so we use AI to help translate, proofread manuscripts, fix grammar, improve sentence structure and make technical explanations easier to read. AI is used as an editing tool only. It does not replace the research, technical knowledge or hands-on experience behind our books. Some of our authors also prefer to remain anonymous for privacy or professional reasons. In those cases, we publish their work under a different name. The author's name may be different, but the quality of the content and our review process remain the same.

Every book is written, reviewed and maintained by experienced technology professionals, with contributions from our private technical community of more than 420 engineers and researchers. We spend far more time validating technical accuracy and keeping our content up to date than generating text. We are always interested in working with experienced professionals who have deep expertise in a particular technology or domain. If you would like to publish a book with us or help review an existing manuscript, we'd love to hear from you. Send us a message describing your area of expertise. We are especially interested in niche technologies, specialized skills and emerging topics that are underrepresented in existing technical literature.

If you look through the contents of our books, you'll see practical examples, detailed explanations and material that is regularly updated. Our goal is to publish books that professionals can actually rely on, not low-effort AI-generated content. If you ever feel that one of our books does not meet that standard, Leanpub offers a 60-day money-back guarantee. Feel free to request a refund if you are not satisfied with your purchase.

Material

Course Material

  • Mastering Claude Code: A Practical Course

  • Who This Course Is For

  • What You Will Learn

  • How This Course Is Structured

  • Key Takeaways from This Introduction

  • Lesson 1: What Is Claude Code? — The Agentic Revolution

  • From Autocomplete to Agents: A Five-Year Evolution

  • What Makes Claude Code Different: Terminal-First Agentic Architecture

  • The Division of Labor: Human as Orchestrator, Agent as Builder

  • Claude Code’s Capabilities: What It Can and Cannot Do

  • Why Now? Market Adoption and the Shift to Agentic Workflows

  • Exercise 1

  • Quiz 1

    3 attempts allowed

  • Lesson 1 Key Takeaways

  • Lesson 2: Anatomy of Claude Code — How It Works Under the Hood

  • The Agentic Loop: Gather, Act, Verify

  • Tracing the Agentic Loop: A Complete Walkthrough

  • Interrupting and Redirecting the Loop

  • Models Behind the Scenes: Sonnet, Opus, Fable, and Haiku

  • Choosing Models: A Practical Decision Framework

  • Built-in Tools: File Operations, Search, Execution, Web, and More

  • The .claude Directory: Configuration and CLAUDE.md

  • Token Management: Understanding Context and Costs

  • Exercise 2

  • Quiz 2

    3 attempts allowed

  • Lesson 2 Key Takeaways

  • Lesson 3: Getting Started — Installation, Setup, and Your First Session

  • Installation Across Platforms

  • Troubleshooting Common Installation Issues

  • Authentication and Account Setup

  • Your First Session: Walkthrough from Zero to Code

  • Terminal Session Trace: Your First Interaction

  • Step-by-Step Configuration

  • Step 1: Create .claudeignore to Exclude Sensitive Files

  • Step 2: Create CLAUDE.md with Project-Specific Instructions

  • Step 3: Configure Permission Modes for Your Workflow

  • Step 4: Allowlist Trusted Commands (Optional but Recommended)

  • Permission Modes Explained

  • IDE Integrations: VS Code, JetBrains, Desktop, and Web

  • The Recommended Workflow

  • Exercise 3

  • Quiz 3

    3 attempts allowed

  • Lesson 3 Key Takeaways

  • Lesson 4: Prompt Engineering for Claude Code

  • The Art of the Claude Prompt: Specificity, Context, and Verification

  • Giving Claude Something to Verify Against

  • CLAUDE.md as a Persistent Instruction Layer

  • Few-Shot Examples, XML Structuring, and Role Assignment

  • Why These Techniques Work

  • The “Interview Me” Pattern

  • Common Failure Patterns and How to Avoid Them

  • Prompt Chaining and State Management Across Sessions

  • Exercise 4

  • Quiz 4

    3 attempts allowed

  • Lesson 4 Key Takeaways

  • Lesson 5: Development Workflows — Building, Debugging, and Testing

  • Building a Full-Stack Application from Scratch

  • Phase 1: Exploration and Specification

  • Phase 2: Implementation

  • Phase 3: Debugging a Real Bug

  • Phase 4: Writing Tests

  • Phase 5: Refactoring

  • Handling Real-World Scenarios

  • Working with Legacy Code

  • Managing Dependencies

  • Working with Databases

  • The Complete Development Cycle

  • Exercise 5

  • Quiz 5

    3 attempts allowed

  • Lesson 5 Key Takeaways

  • Lesson 6: Context Management and Session Strategies

  • How Context Windows Fill

  • How Auto-Compaction Works

  • Controlling What Survives Compaction

  • Strategies for Managing Context Effectively

  • Session Management: Naming, Resuming, and Forking

  • Naming Sessions

  • Resuming Sessions

  • Forking Sessions

  • Checkpoints and Rewinding

  • Practical Context Management Scenarios

  • Scenario 1: The Long-Running Feature Build

  • Scenario 2: The Multi-Task Session

  • Scenario 3: The Exploratory Investigation

  • Exercise 6

  • Quiz 6

    3 attempts allowed

  • Lesson 6 Key Takeaways

  • Lesson 7: Automation — Headless Mode, Routines, and CI/CD

  • Headless Mode: Non-Interactive Claude Code for Scripts and Pipelines

  • Basic Headless Usage

  • Headless Mode for Code Review

  • Headless Mode for Documentation

  • Cost Control in Headless Mode

  • Fan-Out Patterns: Processing Many Files in Parallel

  • Sequential Fan-Out

  • Parallel Fan-Out

  • Fan-Out with Result Aggregation

  • Claude Code Routines: Scheduled Tasks and Event-Driven Workflows

  • Scheduled Documentation Updates

  • Regular Security Audits

  • Event-Driven Workflows

  • Pre-Commit Hooks and Automated Quality Gates

  • Linting and Formatting Hooks

  • Pre-Commit Quality Gates

  • CI/CD Integration

  • GitHub Actions Example

  • Cost Management in CI/CD

  • Exercise 7

  • Quiz 7

    3 attempts allowed

  • Lesson 7 Key Takeaways

  • Lesson 8: Advanced Patterns — Subagents, Skills, MCP, and Hooks

  • Subagents: Delegating Investigation and Verification

  • When to Use Subagents

  • Subagent Token Economics

  • Practical Subagent Usage

  • Skills: Creating Reusable Domain Knowledge and Workflows

  • When to Create Skills

  • Skill Structure

  • MCP Servers: Connecting to External Systems

  • Common MCP Integrations

  • MCP Configuration

  • Security Considerations for MCP

  • Hooks: Automated Policy Enforcement Across Sessions

  • Hook Signals

  • Practical Hook Examples

  • Multi-Agent Orchestration

  • Configuring Multi-Agent Workflows

  • When Multi-Agent Makes Sense

  • Exercise 8

  • Quiz 8

    3 attempts allowed

  • Lesson 8 Key Takeaways

  • Lesson 9: Security, Best Practices, and Going Production

  • Documented Vulnerabilities: Lessons Learned

  • Prompt Injection and Malicious File Content

  • How Indirect Prompt Injection Works

  • Defenses Against Prompt Injection

  • Secrets Exposure in Context Loading

  • What to Protect

  • Why .claudeignore Is Not Enough

  • Additional Safeguards

  • The —dangerously-skip-permissions Flag

  • When It Might Be Appropriate

  • When It Is Never Appropriate

  • Sandboxing: Docker, Dev Containers, and VM Isolation

  • Docker Sandboxing

  • Cloud-Based Sandboxing

  • Enterprise Security Architecture

  • Identity and API Key Governance

  • Centralized Traffic Routing

  • MCP Tool Governance

  • Role-Based Access Control

  • Best Practices from 400,000 Sessions

  • For Individual Developers

  • For Team Leads and Engineering Managers

  • For Security Teams

  • Exercise 9

  • Quiz 9

    3 attempts allowed

  • Lesson 9 Key Takeaways

  • Lesson 10: Testing, Verification, and Quality Assurance

  • Giving Claude Something to Verify Against

  • Levels of Verification

  • Test Generation Strategies

  • Unit Test Generation

  • Integration Test Generation

  • Adversarial Test Generation

  • The Writer/Reviewer Pattern

  • Using Subagents for Adversarial Review

  • Outcomes: Automated Rubric Grading

  • Writing an Effective Rubric

  • Self-Healing Tests and Iterative Debugging

  • Evidence-Based Verification

  • Exercise 10

  • Quiz 10

    3 attempts allowed

  • Lesson 10 Key Takeaways

  • What You Have Learned

  • The Mental Models That Matter

  • Continuing Your Learning

  • Final Thought

  • Lesson 11: Team Collaboration and Enterprise Deployment

  • Shared CLAUDE.md as Team Knowledge

  • Building a Team CLAUDE.md

  • CLAUDE.md Best Practices for Teams

  • Skill Libraries and Plugin Distribution

  • Creating Team Skills

  • Plugin Distribution

  • Claude Code at Scale: Enterprise Deployment

  • Stripe’s 1,370-Engineer Deployment

  • Managed Settings Architecture

  • Centralized Traffic Routing

  • Identity Management

  • Integrating Claude Code into Team Workflows

  • Code Review Integration

  • Static Analysis Integration

  • Second-Pass Review

  • CI/CD Integration

  • Managing the Social Dynamics of AI-Assisted Development

  • Exercise 11

  • Quiz 11

    3 attempts allowed

  • Lesson 11 Key Takeaways

  • Lesson 12: Real-World Case Studies — Migrations, Onboarding, and Scaling

  • Stripe’s Scala-to-Java Migration

  • The Migration Workflow at Scale

  • Wiz’s Python-to-Go Migration

  • Rakuten’s AI-nization Strategy

  • Parallel Development at Scale

  • Democratization Effect

  • Onboarding to an Unfamiliar Codebase

  • The Onboarding Workflow

  • Onboarding Through Questions

  • Managing the Review Bottleneck

  • Automated Pre-Review

  • Parallel Human Review

  • Second-Pass Claude Review

  • The Key Insight

  • Exercise 12

  • Quiz 12

    3 attempts allowed

  • Lesson 12 Key Takeaways

  • Lesson 13: The Future of Agentic Coding

  • Anthropic’s Roadmap: Dreaming, Outcomes, Multi-Agent Orchestration

  • Dreaming: Self-Improving Agents

  • Outcomes: Automated Quality Grading

  • Multi-Agent Orchestration

  • The Roadmap Ahead

  • Eight Trends Shaping Agentic Coding

  • The Changing Role of Software Engineers

  • Vendor Lock-in and Ecosystem Dependency

  • The Lock-in Surface Area

  • Mitigation Strategies

  • The Legal and Ethical Landscape

  • Intellectual Property and Code Ownership

  • Liability for AI-Generated Bugs

  • Bias and Fairness

  • The Recursive Self-Improvement Concern

  • Skill Displacement and Workforce Planning

  • What This Means for You

  • Exercise 13

  • Quiz 13

    3 attempts allowed

  • Lesson 13 Key Takeaways

  • Lesson 14: Performance Optimization and Context Efficiency

  • Prompt Caching: Maximizing the 92 Percent Hit Rate

  • How Prefix Caching Works

  • Maximizing Cache Hits

  • Measuring Cache Effectiveness

  • Model Selection Strategy

  • The Decision Matrix

  • Cost per Task by Model

  • When to Upgrade Models

  • Context Efficiency Strategies

  • The Fresh Context Principle

  • Subagent Delegation

  • Skills on Demand

  • Compact Instructions

  • Monitoring and Observability

  • Key Metrics to Track

  • The Custom Status Line

  • Budget Management

  • Adaptive Thinking and Effort Levels

  • Effort Level Selection

  • Exercise 14

  • Quiz 14

    3 attempts allowed

  • Lesson 14 Key Takeaways

  • Lesson 15: Capstone — Building a Production Workflow with Claude Code

  • The Capstone Scenario

  • Phase 1: Setup and Configuration

  • Step 1: Install and Authenticate

  • Step 2: Create .claudeignore

  • Step 3: Generate and Refine CLAUDE.md

  • Step 4: Configure Permissions

  • Step 5: Set Up Hooks

  • Phase 2: Feature Implementation

  • Step 1: Interview and Specification

  • Step 2: Implementation Session

  • Step 3: Verification and Review

  • Phase 3: Team Deployment

  • Step 1: Share CLAUDE.md

  • Step 2: Create Team Skills

  • Step 3: Set Up CI/CD Integration

  • Phase 4: Ongoing Maintenance

  • Weekly Routines

  • Knowledge Accumulation

  • Monitoring

  • The Complete Workflow Summarized

  • What Makes This Workflow Sustainable

  • Your Next Steps

  • Exercise 15

  • Quiz 15

    3 attempts allowed

  • Lesson 15 Key Takeaways

  • Course Conclusion: Your Path Forward

  • What You Have Learned

  • The Mental Models That Matter

  • Continuing Your Learning

  • Final Thought

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