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Claude Certified Architect - Foundations Certification

Course Information

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

Venue

Course Brochure

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Prerequisite

You should complete Claude Certified Associate - Foundations (CCAO-F) Exam Prep (C991) before taking this course.

C991 covers the Claude foundations – prompting, output evaluation, product and model selection, Claude Projects and responsible use – that this course builds on to design production-grade solutions with Claude.

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Claude Certified Architect - Foundations (CCAR-F) Exam Prep

Course Code: C437

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What's This Course About

Claude Certified Architect - Foundations (CCAR-F) Exam Prep prepares you for the Claude Certified Architect - Foundations exam from Anthropic, which validates that you can make informed decisions about tradeoffs when implementing real-world solutions with Claude. The exam tests foundational knowledge across Claude Code, the Claude Agent SDK, the Claude API and Model Context Protocol (MCP), the core technologies used to build production-grade applications with Claude. It is aimed at solution architects, AI engineers and senior developers who design and build production applications, agents and workflows with Claude.

The course follows the five official exam domains and their weightings. You will start with agentic architecture and orchestration (27%), covering agentic loops, coordinator-subagent patterns, subagent context passing, workflow enforcement and handoff, Agent SDK hooks, task decomposition and session state. Next you will study tool design and MCP integration (18%), including clear tool interfaces, structured error responses, distributing tools across agents, integrating MCP servers and choosing the right built-in tools. You will then cover Claude Code configuration and workflows (20%), such as the CLAUDE.md hierarchy, custom slash commands and skills, path-specific rules, plan mode versus direct execution, iterative refinement and CI/CD integration.

The course continues with prompt engineering and structured output (20%), including explicit criteria, few-shot prompting, structured output with tool use and JSON schemas, validation and retry loops, batch processing and multi-pass review, and closes with context management and reliability (15%), covering context preservation, escalation and ambiguity resolution, error propagation across multi-agent systems, large codebase exploration, human review and confidence calibration, and information provenance. Each domain combines explanation, hands-on practice with Claude Code and the Agent SDK, and scenario-based questions modelled on the exam’s customer use cases, such as customer support agents, multi-agent research pipelines and Claude Code in CI/CD.

The CCAR-F exam has 60 multiple-choice and multiple-response questions in 120 minutes, built around 4 scenarios drawn from a bank of 6, and is delivered by Pearson VUE online or at a test centre, with a passing scaled score of 720 out of 1,000. By the end, you will be able to design robust Claude-based systems with confidence and be well prepared to pass the exam.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Why Take This Course?

  • 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.

Course Fee

₵3,000.00

Course Date

Course Time

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 info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Agentic Architecture and Orchestration

Topic 2: Tool Design and MCP Integration

Topic 3: Claude Code Configuration and Workflows

Topic 4: Prompt Engineering and Structured Output

Topic 5: Context Management and Reliability

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)

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

  • Solution Architect
  • AI Solutions Architect
  • Cloud Solutions Architect
  • Enterprise Architect
  • AI Engineer
  • Machine Learning Engineer
  • Software Engineer
  • Senior Software Developer
  • Full-Stack Developer
  • Backend Developer
  • DevOps Engineer
  • Platform Engineer
  • Solutions Engineer
  • Forward Deployed Engineer
  • Technical Lead
  • Engineering Manager
  • AI Technical Consultant
  • AI Product Manager

Trainers

Trainers

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

Claude is the engine behind a large share of what Dr. Alfred Ang builds. As a full-stack AI developer, Agentic AI solution architect and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, Dr. Ang designs intelligent agents and production systems end-to-end, spanning front end, back end, databases, cloud deployment and native mobile apps, and documents that work in more than 300 public repositories on GitHub. The ai-cms and ai-pei projects are self-hosted, AI-powered content management systems built on Next.js and the Claude Agent SDK, with AI content generation, a weekly auto-blog scheduler and a self-improving lead-generation chatbot. The tapcard platform, a digital business card with a built-in CRM, also runs on the Claude Agent SDK, and sgtutors uses a ten-minute Claude AI interview to screen tutors on a marketplace. Dr. Ang has built a courseware generation platform on the Claude Agent SDK and Streamlit, and a course proposal preparation app powered by Claude Code. Two public collections of Claude Code skills package repeatable workflows, such as starting apps, generating READMEs, pushing images and scanning for secrets, into tools that agents can call reliably. Day-to-day development of the ai-mms course-registration system behind the Tertiary Courses sites is itself driven through Claude Code with project configuration, memory and guardrails, which gives Dr. Ang direct experience of designing context, tools and checks that hold up over long sessions. That daily practice gives Dr. Ang concrete stories for nearly every design trade-off the certification examines.

The Claude Certified Architect - Foundations Certification course prepares learners for the CCAR-F exam by connecting each domain to real design decisions. In agentic architecture and orchestration, Dr. Ang compares single-agent and multi-agent patterns, explains when to use subagents and how to hand work between them, and discusses the trade-offs between autonomy and control. The tool design and MCP integration topic covers writing clear tool descriptions, shaping inputs and outputs, and connecting external systems through the Model Context Protocol, illustrated with tools Dr. Ang has actually wired into agents. Claude Code configuration and workflows looks at project instructions, skills, hooks, permissions and how to keep a coding agent productive and safe. Prompt engineering and structured output focuses on reliable instructions, examples and schema-constrained responses that downstream code can trust. The final topic, context management and reliability, deals with long conversations, memory, retrieval, error handling and evaluation, the issues that decide whether an agent survives contact with real users. Each topic is reinforced with scenario questions in the style of the exam, followed by discussion of why the best answer is best. Developers, solution architects and technical leads will find the pace demanding but practical. To study the Claude Agent SDK applications and Claude Code skills referenced throughout, learners can explore Dr. Study tips and a review of the official exam guide help learners plan the remaining preparation time effectively after the course. Ang's portfolio at https://github.com/alfredang.

Review

Customer Reviews (7)

Very informative Review by Course Participant/Trainee
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Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 6/24/2026)
Engaging trainer Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 6/2/2026)
Hands-on and practical Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 4/3/2026)
Exceeded my expectations Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 3/18/2026)
Great learning experience Review by Course Participant/Trainee
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3. How do you find the training environment
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 3/4/2026)

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