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How We Enabled Our Workforce to Be Anthropic Certified

Generative AI & LLMOps

Explore the lessons we learned from preparing our workforce to get certified on Claude through Anthropic's certification program and the study habits that made the biggest difference.

A few months ago, we set an internal goal that felt ambitious at the time: get a meaningful chunk of our team certified on Claude through Anthropic's certification program. We have over 230 Claude Certified Architects across Caylent, and we learned some things along the way about what actually helps people learn a fast-moving technology, versus what just feels productive.

Our exam results are only part of the story. The real value is in the study habits that got us there, and we hope they can help your team too.

We Had Some Help Writing the Exam

Before we get into how we studied, it's worth mentioning why we had a head start. Anthropic invited two Cayliens to serve as Subject Matter Experts helping design the Claude Certified Architect certification itself, working through Pearson's certification development program. That meant we weren't guessing at what the exam was testing for or reverse engineering a syllabus from old blog posts. We had people on our team who understood, firsthand, what "good" looked like at the architecture level Anthropic actually cares about.

That's a real advantage, and we want to be upfront about it. Understanding what the test wants and actually getting hundreds of people ready to pass it are two very different problems. This post is about the second.

Reading Together, Not Alone

The first thing we did was old-fashioned: we read the exam guides as a group. Not "everyone reads it on their own time and reports back." We scheduled sessions, went section by section, and talked through what each objective actually meant in practice.

This mattered more than it sounds like it should. Exam guides are written in dense, compressed language, and it's easy to nod along while reading one alone and think you understand a concept you've only pattern-matched to something familiar. Reading in a group forced people to ask the obvious questions out loud, the ones you'd otherwise silently skip past. More often than not, someone else in the room had the same question and just hadn't said it yet. In addition, we have employees whose first language is not English and reading together helped them avoid misunderstandings.

Courses and Hands-on Experiences

We also worked through Anthropic's own courses (see https://anthropic-partners.skilljar.com), which gave everyone a consistent baseline. But we think the bigger factor in our results wasn't the formal coursework at all. It was that Cayliens use Claude constantly in our actual day-to-day work, building agentic systems, debugging pipelines, drafting architecture docs, writing code. Certification prep wasn't the first time most of our team touched Claude. It was a chance to formalize instincts people had already built through real use.

Courses teach you what the tool can do, but using the tool teaches you where it actually helps, where it doesn't, and what its failure modes feel like from the inside. A lot of our team walked into exam prep with that second kind of knowledge already, and the studying was mostly about connecting it to the vocabulary and framing the exam expectations.

Using Claude to Study for a Claude Exam

Somewhere in the middle of this, someone on the team had an obvious idea: feed the exam guides into Claude and ask it to build us study materials.

We gave Claude the published exam guides and asked it to generate structured study guides broken down by objective, along with sample test questions modeled on the style and difficulty of what the real exam would ask. It wasn't a replacement for understanding the material, but it was a genuinely good way to turn a dense guide into something you could actually study from, and to get a sense of how a question might be phrased before you saw one for real.

We'd treat this as a starting point rather than gospel. The value wasn't that Claude produced a perfect mock exam, but that it gave us a fast, cost-efficient way to generate practice material at whatever depth or angle we needed, which meant we could iterate instead of settling for whatever study resources already existed.

Practice Exams, Out Loud, Together

The last piece is the one we'd most encourage other teams to do: group practice exam sessions where people took turns answering questions out loud.

The format was simple: someone would read a practice question, someone else would answer it, and instead of just giving the answer, they'd narrate their thinking as they worked through it. Why they ruled out one option, what detail in the question tipped them toward another, where they were genuinely unsure and made an educated guess.

This turned out to be more valuable than either studying alone or just checking answers against a key. Hearing a colleague reason through a question, including the wrong turns, showed everyone in the room both good and bad ways to approach a problem. You'd see someone confidently pick the wrong answer for a reason that sounded plausible, and that was often more instructive than seeing the right answer in isolation. It also meant the group caught shared misconceptions early, before a dozen people carried the same wrong mental model into the actual exam.

What We Take From This

We don't think any single one of these approaches explains passing 100 certifications. It was the combination: structured group reading to build a shared foundation, formal courses to standardize vocabulary, genuine daily use of the tool to build real intuition, Claude itself used to generate study material at scale, and group practice sessions that made everyone's reasoning visible instead of private.

All this required was treating certification prep as a team activity instead of a personal errand, and being willing to use the tool we were studying to help us study it. If there's one thing we'd pass along to another team starting this same process, it's that the studying works better out loud, in a room, with people willing to show their work, including the parts where they get it wrong.

We're proud of the milestone, but more interested in the habits that got us there, because those are the ones we'll keep using for whatever Anthropic certifies next.

For organizations looking to build with Claude, having the right expertise can make all the difference. The same expertise that helped our team earn more than 100 Claude certifications is the expertise we bring to every customer engagement. As an Anthropic Preferred Services Partner and charter member of the Claude Partner Network, Caylent's Anthropic Consulting & Engineering (ACE) practice helps customers design, build, and scale AI solutions with confidence. Whether you're developing agentic AI systems, modernizing applications, or enabling your teams to get more from Claude, our certified experts can help you accelerate adoption and deliver measurable business outcomes. Reach out to us today to get started.

Generative AI & LLMOps
Brian Tarbox

Brian Tarbox

Brian is an AWS AI Hero, Alexa Champion, has ten US patents and a bunch of certifications, and ran the Boston AWS User Group for 5 years. He's also part of the New Voices mentorship program where Heros teach traditionally underrepresented engineers how to give presentations. He is a private pilot, a rescue scuba diver and got his Masters in Cognitive Psychology working with bottlenosed dolphins.

View Brian's articles

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