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Certification

Certification in Building and Deploying Claude Agents via CLI and Agent SDK

Become certified in Claude Code Agent SDK & CLI. Prove you can configure context and hooks, build custom commands, automate GitHub reviews, and ship agents that read repos, plan work, edit files, run tests, and open PRs.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert, technical

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 14 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01How coding assistants work1:58
  2. 02Claude Code in action1:58
  3. 03Installation and setup1:21
  4. 04Project initialization2:09
  5. 05Adding project context1:18
  6. 06Context engineering in action2:03
  7. 07Hosting AI agents1:30
  8. 08Interaction techniques and thinking2:06
  9. 09Managing conversation context1:42
  10. 10Custom commands2:47
  11. 11MCP servers and GitHub1:30
  12. 12Hooks2:24
  13. 13The Agent SDK1:31
  14. 14Course quiz and conclusion3:25
About the course

This certification,Anthropic's Free 7-Hour Claude Code Course: From CLI to Agent SDK (Video Course),takes you from first CLI steps to building production-ready agents with the Agent SDK. You'll learn to make Claude Code a real teammate, driving increased productivity, a competitive advantage, better decision-making, and a future-proof skill set. Enroll now for hands-on, job-ready practice as Claude reads your repo, plans work, edits files, runs tests, and opens PRs so you can focus on the hard parts.

This certification covers the following topics:

  • The mental model of Claude Code and the LLM-tool framework
  • Setup and project-scoped launch, including /init
  • Context strategies: project memory, @-file inputs, and visual context
  • Workflow control: interrupt, rewind, compact, and verification loops
  • Thinking and planning modes for deeper reasoning
  • Custom commands and reusable patterns
  • Hooks for policy enforcement and automatic checks
  • GitHub integration for reviews, tests, and PR automation
  • MCP servers to extend capabilities with external tools
  • Agent SDK fundamentals for building specialized AI agents
  • Security, privacy, and long-term context management
  • End-to-end example and troubleshooting best practices

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.