Course Information

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

Venue

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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 - Professional Certification

Course Code: C364

What's This Course About

Prepare for and earn the Claude Certified Architect - Professional certification (exam code CCAR-P). This certification validates that you can design, build and deliver production-grade AI solutions using Anthropic Claude. It is intended for mid- to senior-level technical professionals — solution architects, AI/ML engineers, technical leads and senior software engineers — who select appropriate models, architectures and API patterns, apply prompt and context engineering, integrate Claude into enterprise systems, and incorporate evaluation, security, compliance and governance into their designs.

This 2-day course prepares you for all seven exam domains through hands-on solution design, model and prompt engineering, integration and RAG, evaluation and optimisation, governance and safety, stakeholder communication and developer productivity. The exam has 63 multiple-choice and multiple-response items, a 120-minute time limit and a passing scaled score of 720 (100-1,000). Register on the Anthropic Partner Academy: Claude Certified Architect - Professional.

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 →

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

Domain 1 Solution Design and Architecture (17%)

  • Translate business problems into Claude-based AI solutions
  • Design end-to-end architectures (input, processing, output, feedback loops)
  • Select appropriate architectural patterns (workflow, agentic, augmented LLM)
  • Design multi-agent systems and orchestration strategies
  • Apply decomposition techniques and align solutions to business value pillars

Domain 2 Claude Models, Prompting and Context Engineering (13%)

  • Select appropriate Claude models based on trade-offs
  • Design system prompts, templates and guardrails
  • Apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought)
  • Optimise context windows, manage token usage and reuse prompts (caching, modular prompts, Skills)

Domain 3 Integration (19%)

  • Design RAG pipelines with appropriate chunking, indexing and retrieval strategies
  • Evaluate connection protocols and select the integration mechanism (MCP, API/CLI, agent-to-agent)
  • Analyse authentication and authorisation requirements and identify security gaps
  • Evaluate accuracy-latency trade-offs, capability bloat and observability at scale

Domain 4 Evaluation, Testing and Optimization (16%)

  • Define evaluation metrics (accuracy, latency, cost, safety, security)
  • Design evaluation datasets and test frameworks and run A/B testing
  • Diagnose system issues (prompt failure, hallucinations, model mismatch)
  • Optimise token usage, latency and cost-performance and monitor with observability tools

Domain 5 Governance, Safety and Risk Management (14%)

  • Implement guardrails and safety controls
  • Identify risks, limitations and failure modes of LLM systems
  • Apply human-in-the-loop validation strategies
  • Ensure compliance with regulations (e.g., GDPR, HIPAA, FedRAMP) and address ethical AI considerations

Domain 6 Stakeholder Communication and Lifecycle Management (14%)

  • Conduct structured discovery and requirement gathering
  • Communicate architectural decisions and trade-offs
  • Manage stakeholder feedback loops and expectation alignment (including SLAs)
  • Document architectures and support lifecycle phases (discovery, design, handoff, monitoring, iteration)

Domain 7 Developer Productivity and Operational Enablement (7%)

  • Leverage Claude Code and developer tooling to accelerate delivery
  • Enable teams with Agent Skills, MCP servers and reusable configurations
  • Integrate Claude into CI/CD and operational workflows
  • Support onboarding, documentation and operational enablement

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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:

Please download and install Unreal Engine from https://www.unrealengine.com/en-US/download

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Game Developer
  • 3D Artist
  • Level Designer
  • VR Developer
  • AR Developer
  • Gameplay Programmer
  • Technical Artist
  • Game Designer
  • UI/UX Designer
  • Animator
  • VFX Artist
  • Sound Designer
  • Game Tester
  • Game Producer
  • Creative Director

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (8)

Great learning experience 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 12/6/2024)
Engaging trainer 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
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 11/12/2024)
Very informative 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
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 2/9/2024)

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