Two Anthropic Certifications for Claude Code Completed

What I Did

On May 15, 2026, I completed Anthropic’s two official courses on Claude Code: Claude Code 101 (fundamentals) and Claude Code in Action (advanced application). Both certificates are issued through Anthropic’s official learning platform and are publicly verifiable — the links are at the end of this post and on my certifications page.

I’m not writing this to show off a certificate. I’m writing it because Claude Code is my daily working tool, and the certification explains why I work faster and more reliably for clients than I did a year ago.

What Claude Code Is

Claude Code is the agentic AI tool from Anthropic, the company behind the Claude language model. Unlike a chat window in a browser, Claude Code works directly in the terminal and can independently read and modify files, run commands, and connect to external data sources.

For my work, this means something concrete: the AI doesn’t just see a typed-out excerpt — it works with the real project, the website, the SEO data, the analytics interfaces. That’s the difference between “asking an AI a question” and “having an AI complete a task.”

What the Courses Covered

Claude Code 101 covers the fundamentals: how to instruct the AI effectively, how it navigates a project, how to verify results and avoid errors.

Claude Code in Action goes further — to the level where the actual time savings come from:

• Agentic workflows: The AI completes multiple steps on its own instead of waiting for each individual instruction.
• MCP server integration: Connecting external data sources. In my setup, that includes Google Search Console, Analytics, Google Ads, and SEO tools — the AI accesses real numbers directly instead of estimates.
• Automation: Recurring tasks — technical audits, data reconciliation, reports — run in a controlled and traceable way.

What This Means for My Clients

Three things change in practice:

1. Speed. A technical SEO audit that used to be half a day of manual review now runs in a structured, verifiable way in a fraction of the time. The time saved goes into the assessment and the actions — not into hunting down data.
2. Data foundation. Through the direct connection of the analytics interfaces, I work with real numbers from your account, not rough third-party estimates.
3. Traceability. Every step is documented. You don’t get a black-box result, but a traceable path to it.

One important point: the tool doesn’t replace judgment. An AI can produce a list of 200 technical findings — which of them are actually relevant to your ranking, and in what order they should be addressed, is the decision you’re hiring me to make.

Why Professional Development Isn’t Optional with AI

My certifications page has carried one sentence for years: Google constantly changes its algorithms, and regular recertification keeps the knowledge current. For AI tools, the same applies at an even faster pace. Some of the features I work with today didn’t exist six months ago. Anyone who stands still here is working with outdated methods a year later.

That’s exactly why these two certifications aren’t a finish line for me, but a checkpoint.

Verification

Both certificates can be verified directly with Anthropic:

• Claude Code 101: verify.skilljar.com/c/fxb98uam3i9v
• Claude Code in Action: verify.skilljar.com/c/ipsdq9s6dw9g

You can find an overview of all my qualifications on the certifications page.