Claude Code Foundations

Claude Code is not just a code suggestion tool—it’s a full agentic development environment that can read your codebase, write and edit files, run tests, commit to Git, and iterate until the task is complete.
This immersive 3‑day hands‑on course teaches developers how to use Claude Code the same way Anthropic engineers do: spec‑driven, context‑aware, and production‑ready.

Participants leave with a working system built on their own project, including custom skills, automation hooks, multi‑agent workflows, and CI/CD integration.

Audience

• Software developers and engineers
• DevOps and platform engineers
• Technical leads and engineering managers
• Teams building AI‑assisted development workflows
• Developers evaluating or adopting AI coding tools

Prerequisites

• Comfort working in a terminal
• Basic Git knowledge
• Active Claude Pro or Max subscription
• No prior Claude Code experience required

What You Will Build

• A project configured with CLAUDE.md and AI development conventions
• Custom reusable AI skills and workflows
• Security, audit, and automation hooks
• Custom slash commands and plugins
• A custom MCP server connected to external tools
• Multi‑agent and parallel sub‑agent workflows
• A GitHub Actions CI/CD pipeline using Claude in headless mode
• Production‑ready security, permission, and cost controls

Claude Code Foundations Course Outline

Core workflows, context management, and Git integration

• Installing and configuring Claude Code
• Understanding the agentic development loop
• Creating and managing CLAUDE.md project memory
• Context and session hygiene best practices
• Spec‑driven development workflows
• Secure Git and GitHub workflows using natural language
• Hands‑On Labs: Build and ship a working application using Claude Code

Skills, Hooks, and Distribution

Reusable workflows, guardrails, and packaging

• Designing and building reusable AI skills
• Applying Anthropic’s skill design frameworks
• Creating deterministic hooks for security and automation
• Building custom slash commands
• Testing, benchmarking, and optimizing AI workflows
• Packaging skills, hooks, and commands into distributable plugins
• Hands‑On Labs: Build skills, enforce guardrails, and package a reusable plugin

MCP, Subagents, and Production Deployment

Orchestration, integrations, and enterprise readiness

• Understanding the Model Context Protocol (MCP)
• Building and connecting custom MCP servers
• Orchestrating subagents and multi‑agent teams
• Running Claude Code in CI/CD pipelines
• Configuring enterprise security and permissions
• Scaling, optimizing costs, and monitoring production usage
• Hands‑On Labs: Deploy Claude Code in CI/CD and scale multi‑agent workflows

Key Learning Outcomes

• Use Claude Code as a full agentic development system
• Create effective project memory and AI conventions
• Build reusable AI skills and workflows
• Enforce security, auditing, and automation with hooks
• Orchestrate parallel AI agents for complex tasks
• Integrate Claude Code into CI/CD pipelines
• Configure production‑grade security and cost controls