Claude Code Foundations

About this Course

Master agentic AI-assisted development from first prompt to production deployment
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 Profile

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

At Course Completion

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

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

Prerequisites

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