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AI-Powered Development with Claude Code

Course Summary

This course provides software developers with the practical skills to use Claude Code as a primary interface for reading codebases, editing files, and executing terminal commands. Participants will transition from basic chat interfaces to master a terminal-based agent that understands their entire codebase and integrates seamlessly with existing development tools. Through interactive demonstrations, hands-on labs, and discussions, participants will gain the knowledge to integrate an AI-coding assistant into their daily workflows.

Prerequisites:

In order to succeed in this course, you will need:

  • Strong programming experience and familiarity with CLI/Git workflows
  • Familiarity with shell environments and permissions
     
Purpose
Learn to use Claude Code as a primary interface for reading codebases, editing files, and executing terminal commands
Audience
Software engineers and development teams looking to automate bug fixes, feature builds, and repetitive tasks
Role
Software Engineers | AI Engineers
Skill level
Intermediate
Style
Lecture | Hands-on Activites | Labs
Duration
2 days
Related technologies
Gen AI | Git | AI/ML

 

Learning objectives
  • Navigate and analyze large-scale codebases using Claude Code's semantic understanding
  • Directly edit files and manage multi-file refactors using automated workflows
  • Safely execute terminal commands and manage shell processes through the AI interface
  • Integrate Claude Code with external tools via the Model Context Protocol (MCP)
  • Implement security guardrails to protect sensitive data and environment variables

What you'll learn:

In this AI-Powered Development Using Claude Code course, you'll learn:

Getting Started & The Developer Environment

  • Configuring Claude Code for terminal, IDE, and browser access
  • Managing auto-execution permissions and using Checkpoints for rollbacks
  • Mastering the primary CLI verbs for task delegation and file manipulation

Codebase Navigation & Reading at Scale

  • Understanding the 200K token window
  • Using .claudeignore to manage large projects
  • Using Claude to explain complex legacy logic and map symbol definitions
  • Finding bugs and architectural patterns across multiple files and microservices

Editing, Refactoring, and Command Execution

  • Feature building and multi-file bug fixing
  • Running tests, builds, and shell-based automation scripts through the agent
  • Running linters and test suites to verify AI-generated edits

Tool Integration & The Model Context Protocol (MCP)

  • Connecting Claude Code to external documentation, APIs, and databases using MCP
  • Creating project-specific "Skills" to automate repetitive developer tasks
  • Strategies for moving seamlessly between CLI-driven edits and manual IDE review

Security, Governance, and Best Practices

  • Protecting sensitive credentials and using environment variables securely
  • Sharing configurations and documentation for standardized AI workflows

AI-Powered Development with Claude Code

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

Dive in and learn more

When transforming your workforce, it’s important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

Let's chat

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