Prepare for your Claude certification
by building, not cramming.
AI writes the code. You still own the system. A 14-day plan mapped to Anthropic’s exam guide, timed mock exams and six hands-on labs — taught by engineers who build and run AI systems for clients.
Instant feedback and the reasoning on every answer. No account, no card.
Hydralogic AI is a partner of
- AnthropicClaude Partner Network
- OpenAI
- AWS
- Microsoft Azure
- Google Cloud
Partner status is not an endorsement of our courses. Each vendor sets and issues its own certifications.
Certification is becoming the baseline. See where you stand in about ten minutes — twelve real questions, an explanation on every one, no account.
Anthropic’s training is free and good — and we’ll point you at it by name. What’s missing is order and time. Our plan maps every day to the official exam guide, so you stop guessing what matters and work through it in two weeks instead of drifting for three months.
Small concepts. Real projects.
Start with the foundations, practise a prompt, or build your first AI application.
AI, ML and LLMs: a practical starting point
Understand the vocabulary, choose a small first exercise, and learn what you do—and do not—need to build an AI application.
Read the guide →
Write prompts you can test
Turn a vague request into a small, repeatable experiment with context, output requirements and a checklist. No coding required.
Read the guide →
Your first AI app: one task, one model
Build a small note-to-checklist application before adding agents, tools or a complicated framework.
Read the guide →Build what the exam tests. Six real things.
Reading about tool use isn’t the same as wiring an MCP server to a real system. In Guided + Labs you build it: the Claude API, MCP, Claude Code on a real repository, measurable RAG, an eval harness, and LLMOps. The exam questions stop being abstract, and you can actually do the work.
FROM CONCEPT TO WORKING SYSTEM
An answer is only as good
as its evidence.
- 01 / CONTEXTSOURCE
Your knowledge base
Documents, policies, product data
- 02 / RETRIEVE
Find relevant evidence
Embed the query. Retrieve. Rerank.
- 03 / GENERATELLM
Give the model context
Question + evidence + instructions
Check retrieval, answer quality and failure cases.
Know when to book — before you pay for an attempt.
A failed attempt costs the fee again — $125 for Developer — and a waiting period before you can retake. Timed mocks scored by exam area tell you what to fix and when you’re ready. Every question comes with the reasoning, like the one here.
Your agent defines a lookup_order tool. Claude asks for it, your code runs the lookup successfully, and you send the result back — but Claude replies as though the lookup never happened and asks for the order id again. The tool ran and returned correct data. What is the most likely cause?
- aThe tool result was sent as a new user message describing the outcome, rather than as a tool_result block referencing the tool_use id.
- bThe tool definition is missing a description, so the model cannot interpret what came back.
- cTool results have to be sent in a separate request before the conversation continues.
- dThe model needs tool_choice set to the same tool for it to accept a result.
A tool result is matched to its request by the tool_use id, inside a tool_result block. Describing the outcome in prose is just another user turn — the model sees an unanswered tool call and asks again. The missing-description answer is tempting because a vague description genuinely does cause bad tool use, but it would show up as the model calling the wrong tool or filling arguments badly, not as it ignoring a result it never received in a form it could read.
Every question comes with that explanation — what the right answer turns on, and why the most tempting wrong one is wrong. Written by engineers who build on this API. Not yet second-read by another person, which the report says too.
Reviewed by engineers who ship this.
Our trainers build and run AI systems for clients. In live sessions and lab reviews you get the judgement calls documentation can’t give you — why this design, not just which answer.
The tool returns the full record. The model only needs three fields — return those and you cut tokens per call and stop leaking fields into the context.
Exam fee never included. Refund if it isn’t useful.
The Claude Associate exam costs $99 — the same number as our Sprint. They are different payments to different parties. We prepare you; the vendor examines you and issues the credential to you.
- You pay the exam fee to the vendor, never to us
- Ask within 30 days and we refund — no form, no reason
- No job promises, no CV forwarding, no recruiting
- Partner status is not an endorsement of our courses
Shipping code with AI is easy. Owning what it built isn’t.
AI coding tools get you to a working demo fast. The failures come later and they’re rarely syntax: an agent loop that runs away, context that silently drops a decision, untrusted input reaching a secret. Production work means understanding the system you prompted into existence — and that is what we teach.
“One command ran for two hours and the bill was four figures.”
Why subagents produce shocking bills
Read the breakdown“Claude was doing fine, then it forgot a decision we made an hour ago.”
Auto-compact is eating your session
Read the breakdown“Our CI runs an agent on new issues. Someone pointed out that anyone can open an issue.”
A GitHub issue is untrusted input
Read the breakdownStart free. Pay only for what you need.
Each tier includes the one below it. Exam fees are never included. Paid tiers are opening now — each page takes sign-ups.
Sprint
One exam. A 14-day plan mapped to the official guide, topic questions, and full timed mocks with a readiness score.
Guided + Labs
Everything in Sprint, plus the six hands-on labs and live trainer sessions on weekends.
Production AI Engineer Programme
A 6–8 week cohort: build one real AI system with mentor reviews. Exam prep included.
The Claude tracks
Hydralogic AI enables learners to prepare for and take an Anthropic certification exam through our institute. We provide access to Anthropic's official Skilljar learning portal and guide you through preparation, registration and the official exam pathway. Anthropic's eligibility, identity and booking requirements still apply. You sit the official exam and pay Anthropic separately; our fee covers your preparation sprint or programme.
Practice questions — for business/productivity users of Claude. No coding required.
- Code
- CCAO-F
- Level
- Foundations
- Exam fee
- $99, paid to Anthropic
Practice questions — for engineers building, integrating, and shipping Claude-powered applications.
- Code
- CCDV-F
- Level
- Foundations
- Exam fee
- $125, paid to Anthropic
Practice questions — designing and implementing production-grade Claude solutions.
- Code
- CCAR-F
- Level
- Foundations
- Exam fee
- $125, paid to Anthropic
Practice questions — owning Claude solutions end-to-end: design, delivery, governance, and lifecycle.
- Code
- CCAR-P
- Level
- Professional
- Exam fee
- $175, paid to Anthropic
Coming next: AWS MLA-C02 · Microsoft AI-300 · AWS AIP-C01 · Microsoft AI-103 · Google Cloud Agentic Architect.
Free starter kits, open labs and video sessions.
We’re preparing free, self-serve material for AI, LLMOps and MLOps — starter repositories, lab exercises you can run on your own, and recorded sessions. Leave your email and we’ll tell you when the first ones are out.
One email when the first kits are published. Nothing else.
Your training. Your certificate. Your exam.
01 · Train with us
Your fee covers the sprint or programme you choose.
02 · Complete your course
Receive a Hydralogic AI course completion certificate.
03 · Take the official exam
Use the official Anthropic pathway. Pay the exam fee separately.
How many mock sets can I try for free?
What am I paying Hydralogic AI for?
Can I prepare for and take the Anthropic exam through your institute?
Will I receive a course completion certificate?
Is the Anthropic exam fee included, and who do I pay?
Do you support a second attempt if I do not pass?
Are discounts available for the exam or your training?
Will other certifications follow the same approach?
What if I get stuck with access, registration or payment?
Which Claude certification should I start with?
What do the Claude certification exams cost?
Is Hydralogic AI connected to Anthropic, OpenAI or the cloud providers?
Do you cover OpenAI, AWS, Microsoft or Google?
Will this get me a job?
Twelve questions. About ten minutes. Free.
Instant feedback and the reasoning on every answer. No account, no card.