Claude Code is reshaping how developers write, review, and deploy software, with adoption climbing fast among engineering teams worldwide. kodestree’s Claude Code training for beginners and professionals walks you through real project setups, agentic workflows, subagents, and tool integrations. By the end, you’ll be confident running Claude Code inside live development pipelines, not just demos.
Claude Code Students Also Learn
Prerequisites
- Basic understanding of software development concepts
- Familiarity with at least one programming language (e.g., Python, JavaScript, Java, Go, etc.)
- Working knowledge of Git and version control workflows
- Experience using command-line interfaces (CLI)
- Understanding of basic software development lifecycle (SDLC)
- Ability to read and understand existing codebases
What Will You Learn
- Understand what Claude Code is and how it differs from traditional AI coding assistants
- Install, configure, and operate Claude Code using the CLI
- Navigate, analyze, and modify large codebases efficiently using AI assistance
- Apply structured prompting techniques for reliable and deterministic code generation
- Break down complex engineering tasks into multi-step, agent-driven workflows
- Generate production-quality code, refactor legacy systems, and improve code readability
- Automate unit, integration, and regression test creation
- Debug failing builds, tests, and runtime errors using Claude Code
- Use tools and shell commands safely through Claude Code
- Integrate external tools and services using Model Context Protocol (MCP)
- Automate Git workflows including commits, pull requests, and code reviews
- Detect bugs, performance issues, and potential security flaws early
- Perform large-scale refactors across repositories and monorepos
- Optimize developer productivity using repeatable AI-powered workflows
Course Objectives
- Understand the architecture behind Claude Code and how AI coding agents interact with codebases
- Set up and configure CLAUDE.md files for project, user, and team-level instructions
- Learn the tool-use system that lets Claude Code handle multi-step programming tasks
- Build and manage custom slash commands, skills, and subagents
- Integrate Claude Code with MCP (Model Context Protocol) servers for extended functionality
- Connect Claude Code to GitHub for automated code review and PR workflows
- Apply context management strategies for long, complex coding sessions
- Use hooks to automate logging, safety checks, and repetitive development tasks
- Practice real-world agentic workflows including plan, execute, and review cycles
Who Should Enroll in This Course?
This course is designed for anyone looking to integrate AI into their software development process.
- Software developers and engineers
- DevOps and automation professionals
- Product managers exploring AI-assisted workflows
- Computer science students and fresh graduates
- Freelancers and tech consultants
- Engineering team leads adopting AI tools
- Anyone preparing for a Claude Code certification
Tools and Technologies Covered
- Claude Code CLI
- CLAUDE.md configuration files
- Model Context Protocol (MCP) servers
- GitHub and Git
- Slash commands and custom skills
- Subagents and hooks
- Claude Code SDK
- VS Code / JetBrains integrations
- CI/CD pipelines
Career Outcomes
Completing this training opens doors across AI-driven engineering roles.
- AI-Assisted Software Developer
- Claude Code / Agentic AI Developer
- DevOps Engineer (AI Tooling)
- AI Workflow Automation Specialist
- Technical Consultant – Generative AI Tools
- Engineering Team Lead (AI-Augmented Development)
Why Choose kodestree for This Training?
kodestree combines industry-relevant curriculum with hands-on mentorship to make your learning practical and outcome-focused.
- Live, instructor-led sessions with real project work
- Curriculum updated to match current Claude Code releases and trends
- Hands-on labs covering MCP, subagents, and GitHub integration
- Flexible weekday and weekend batches
- Lifetime access to recorded sessions and course material
- Dedicated doubt-clearing and post-training support
- Industry-recognized course completion certificate
- Resume and interview preparation assistance
Claude Code Trainer
Rithika Mohan
Ex-Fortune 500 AI Team
Rithika is a software engineer and AI workflow consultant with over 15 years of experience in full-stack development, DevOps automation, and applied Generative AI. Over the last few years, she has worked extensively with agentic coding tools, helping engineering teams at startups and enterprises integrate Claude Code into their daily development pipelines, from CLAUDE.md configuration to MCP server deployment and CI/CD automation.
Expertise:
- Claude Code architecture & tool-use systems
- Model Context Protocol (MCP) server integration
- CLAUDE.md configuration & subagent design
- GitHub workflow automation & CI/CD pipelines
- Python, JavaScript, and AI-assisted software development
Highlights:
- 15+ years of industry experience in software engineering and AI tooling
- Hands-on experience deploying Claude Code in production environments
- Trained professionals from companies across IT, fintech, and product engineering
- Known for breaking down complex agentic AI concepts into practical, job-ready skills
