Use Claude Code across terminal, IDE, desktop, and web workflows with clear project instructions, bounded permissions, sandbox checks, tests, diff review, and human approval.
Claude Code in Action is an AcademAI intermediate course in the Claude Code & Development path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Claude and Claude Code Training topic hub. The course includes 6 modules and an estimated workload of 3-4 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for professionals, students, educators, builders, and teams choosing a focused AI workflow. Learners should expect prerequisites such as Basic familiarity with Git; Some programming experience. Core outcomes include practical AI fluency, safer workflow design, and human review habits. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
AcademAI-original course informed by public Claude Code overview, CLI, permissions, sandboxing, hooks, and MCP documentation.
This AcademAI completion certificate is not official Anthropic certification.
This course is part of Claude and Claude Code Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
Choose a surface and follow an inspect-plan-act-review loop
Verify setup and write useful project instructions
Complete one bounded change with evidence
Add deterministic checks and scoped external tools
Choose the smallest extension for a repeatable job
Constrain actions, verify results, and recover safely
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test