Claude for Developers: AI-Powered Software Development with Claude Code

Course Overview

Course Modules Module 1: Introduction to Claude Code Claude Code fundamentals Installation and setup Terminal workflow Understanding agentic coding Project context Working with repositories Module 2: Prompting Claude Code Developer prompts Giving Claude context Project instructions CLAUDE.md Planning mode Task decomposition Module 3: AI-Assisted Development Code generation Code modification Refactoring Debugging Error analysis Feature development Module 4: Testing & Quality Test generation Unit testing Debugging test failures Code quality Automated checks Reviewing AI-generated code Module 5: Working with Existing Codebases Understanding large codebases Codebase exploration Dependency analysis Documentation Legacy code modernization Repository workflows Module 6: Git & Development Workflows Git with Claude Code Branches Commits Pull requests Code review Issue resolution Module 7: Advanced Claude Code Sub-agents Hooks Skills Plugins Parallel tasks Agent orchestration Module 8: MCP & Tool Integration Introduction to MCP Connecting external tools GitHub Jira Databases Internal systems Tool-based workflows Anthropic specifically highlights MCP integrations with systems such as Jira, GitHub and internal databases as a way to scale Claude Code beyond individual tasks. Module 9: AI-Assisted DevOps & Engineering CI/CD workflows Automated debugging Documentation Deployment assistance Security checks Engineering productivity Module 10: Software Development Capstone Capstone Project Build, test, document and improve a real software project using Claude Code and agentic development workflows.

Learning Outcomes

Prerequisites

Basic programming and Git knowledge Learn how to use Claude Code to accelerate software development, debugging, testing, documentation, code review, and complex engineering workflows.