• Home
  • Claude Certified Architect - Professional (CCAR-P) Exam Prep

Claude Certified Architect - Professional (CCAR-P) Exam Prep

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Advanced
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

Download Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Claude Partner Network

We are a member of the Claude Partner Network. Our Claude certification exam prep courses prepare you for the official Claude certification exams from Anthropic.

Certification Exam

Once you are prepared, you can register for the Claude Certified Architect - Professional (CCAR-P) exam on the Anthropic Partner Academy. Claude certification exams are open to people who work at organisations in the Claude Partner Network, and registration requires a company email address on the organisation’s partner record; if your organisation is not a member, you can register with our Claude Partner Network. The exam is delivered by Pearson VUE, online proctored or at a test centre, and the certification is valid for 12 months. Note that the course fee does not include the certification exam fee.

Claude Certified Architect - Professional (CCAR-P) Exam Prep

Course Code: C740

2 Review(s) | Add Your Review

Share

What's This Course About

Claude Certified Architect - Professional (CCAR-P) Exam Prep prepares you for the Claude Certified Architect - Professional exam from Anthropic, the advanced architect credential in the Claude certification programme. It validates that you can turn business problems into scalable, production-grade Claude solutions, choosing the right models, architectural patterns and API approaches, and building evaluation, security, compliance and governance into the design. The certification is intended for experienced solution architects, AI engineers and technical leads who design and deliver Claude-powered systems for real organisations.

The course follows the seven official exam domains and gives each one the time its exam weighting deserves. You will start with solution design and architecture, translating business requirements into end-to-end designs and choosing between workflow-based, agentic, augmented LLM and multi-agent patterns. You will then cover Claude models, prompting and context engineering, including model trade-offs, system prompts, guardrails, prompt caching and Skills, followed by integration, the most heavily weighted domain, covering RAG pipelines, MCP, APIs, agent-to-agent communication, least-privilege tool access and observability.

The course continues with evaluation, testing and optimisation, governance, safety and risk management, including human-in-the-loop controls and regulatory obligations such as GDPR and HIPAA, and stakeholder communication and lifecycle management, and closes with developer productivity and operational enablement with Claude Code. Each domain combines explanation, architecture case studies, hands-on labs and exam-style scenario questions. The CCAR-P exam has 63 multiple-choice and multiple-response questions in 120 minutes, delivered by Pearson VUE online or at a test centre, with a passing scaled score of 720 out of 1,000. As a member of the Claude Partner Network, Tertiary Infotech Academy aligns this course with Anthropic's official exam guide. By the end, you will be able to architect production Claude solutions with confidence and be well prepared to pass the exam.

Why Take This Course?

  • Free Practice ExamTest yourself on realistic scenario questions across all 7 CCAR-P exam domains before you book the real exam. Start the free practice exam →
  • Register with Our Claude Partner NetworkOfficial Claude exams are open only through the Claude Partner Network. Register with our partner network to access the Anthropic Partner Academy and book your CCAR-P exam.
  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Funding Options

This course is not funded.

A funded WSQ version of the same course is available: WSQ - Google Professional Machine Learning Engineer Training. SkillsFuture Credit, SFEC and PSEA may apply to the WSQ course, subject to eligibility.

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Solution Design and Architecture

Topic 2: Claude Models, Prompting, and Context Engineering

Topic 3: Integration

Topic 4: Evaluation, Testing, and Optimisation

Topic 5: Governance, Safety, and Risk Management

Topic 6: Stakeholder Communication and Lifecycle Management

Topic 7: Developer Productivity and Operational Enablement

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
  • Experience designing or building LLM-powered applications, with working knowledge of Python or TypeScript and REST APIs

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • AI Solutions Architect
  • Solutions Architect
  • Enterprise Architect
  • Technical Architect
  • Cloud Architect
  • AI Engineer
  • Senior Software Engineer
  • Machine Learning Engineer
  • Generative AI Lead
  • Forward Deployed Engineer
  • Solutions Engineer
  • Platform Engineer
  • Technical Lead
  • Engineering Manager
  • AI Consultant
  • AI Product Manager
  • AI Governance Lead
  • Head of AI

Trainers

Trainers

Dr. Alfred Ang designs and runs production systems on Anthropic's platform every day, which is exactly the architect-level work the Claude Certified Architect - Professional exam sets out to test. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, having founded Tertiary Courses, and he is a full-stack AI developer and Agentic AI solution architect. His recent Claude work includes a WSQ courseware generation platform built with the Claude Agent SDK, an AI-powered CMS whose chatbot and auto-blog scheduler run on the Claude Agent SDK, MCP-connected multi-agent pipelines for course operations, and Claude Code skill collections and team configurations for courseware production. His credentials include a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, a B.Sc (Hons) in Physics from NUS, Microsoft Certified AI Engineer Associate (AI-102), AWS Certified Solutions Architect and AI Practitioner, and a Certificate in AI Ethics and Governance (Senior Professional) from NTU. He has published more than 20 peer-reviewed papers and co-invented more than 20 US patents.

This exam prep course follows the seven official CCAR-P exam domains, and Dr. Ang sizes each one by its exam weighting. Learners spend the most time on integration and solution design, designing RAG pipelines, choosing between MCP, APIs and agent-to-agent communication, applying least-privilege tool access, and deciding when a fixed workflow beats an autonomous agent or a multi-agent system. He then covers model selection, prompt and context engineering with prompt caching and Skills, evaluation and optimisation, and governance, safety and compliance, including human-in-the-loop controls. The course closes with stakeholder discovery, architecture documentation and lifecycle management, and with rolling out Claude Code across engineering teams. Throughout, he frames practice the way the exam does, with scenario questions that reward architectural judgement over recall, drawn from the trade-offs he makes in his own Claude deployments. As an ACTA-certified trainer and DACE-certified curriculum developer, he blends exam-style practice with hands-on architecture labs, so learners prepare for the credential while gaining skills they can apply at work the next day. To see the Claude-based systems he builds, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Review

Customer Reviews (2)

Might Consider Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 8/22/2019)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 4/7/2019)

Write Your Own Review

You're reviewing: Claude Certified Architect - Professional (CCAR-P) Exam Prep

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment