Claude Certified Architect – Foundations (CCAR-F)

Certification Overview

The Claude Certified Architect – Foundations (CCAR-F) Program equips professionals with practical skills to design and build production-ready AI applications using Claude. Participants learn Agentic AI, multi-agent systems, MCP integration, Claude Code, prompt engineering, and workflow automation.

Through hands-on exercises, real-world case studies, and mock exams, learners develop the expertise to architect scalable AI solutions and prepare for the CCAR-F certification.

Key Learning Areas

• Agentic AI Architecture & Orchestration
• Claude Agent SDK & Multi-Agent Systems
• Model Context Protocol (MCP) Integration
• MCP Tool Design & Server Configuration
• Claude Code Configuration & Workflows
• Prompt Engineering & Structured Outputs
• JSON Schema & Tool Use API
• Context Window Management & Reliability
• AI Workflow Automation & CI/CD Integration
• Enterprise AI Architecture & Certification Preparation

Certification Objectives

By the end of this program, participants will be able to:

• Design Production-Ready AI Architectures
• Build Agentic AI Applications Using Claude
• Implement Multi-Agent Orchestration Workflows
• Integrate MCP Tools, Resources & Servers
• Configure Claude Code for Development Workflows
• Implement Structured Outputs Using JSON Schema
• Design Reliable Prompt Engineering Strategies
• Manage Context Windows & Long-Running Conversations
• Build Human-in-the-Loop AI Workflows
• Integrate Claude into CI/CD Pipelines
• Improve AI Reliability, Scalability & Governance
• Prepare for the CCAR-F Certification Examination

Certification Benefits

• Develop Practical Claude AI Architecture Skills
• Learn to Build Production-Ready AI Applications
• Gain Expertise in Claude APIs & Agent SDK
• Master MCP Integration & Tool Design
• Build Multi-Agent AI Systems
• Enhance AI Development & Workflow Automation Skills
• Improve AI Solution Design & Architecture Decisions
• Strengthen Context Management & Output Reliability
• Apply Claude Code in Enterprise Development
• Enhance Career Opportunities in AI Architecture & Engineering

Training Highlights

• Instructor-Led Training & Certification Preparation
• Certification-Focused Curriculum
• 6 Structured Learning Modules
• Hands-On Architecture Design Exercises
• Real-World AI Application Case Studies
• Agent SDK & MCP Integration Practice
• Claude Code Configuration & Automation
• Mock Tests & Practice Questions
• Expert-Guided Exam Preparation
• Certificate of Completion

Who Should Attend

• AI Solution Architects
• Software Architects
• Full Stack Developers
• Backend Developers
• AI Engineers
• Generative AI Developers
• Solution Engineers
• Technical Leads
• DevOps Engineers
• Platform Engineers
• Engineering Managers
• Professionals Building Production AI Applications with Claude

Recommended Background: Although no mandatory prerequisites are specified in the syllabus, six or more months of practical experience with Claude APIs, Claude Code, Agent SDK, or MCP is recommended. Familiarity with software architecture, APIs, JSON, REST, software development concepts, and prompt engineering fundamentals will also be beneficial.

Assessment & Certification Details

• Certification Name: Claude Certified Architect – Foundations
• Exam Code: CCAR-F
• Exam Board: Anthropic Certification Program 
• Number of Questions: 60
• Passing Score: 720 (scaled score)
• Exam Duration: 120 minutes
• Question Format: Multiple Choice & Multiple Response
• Certification Validity: 12 months

This program follows the six-module course structure outlined in the provided CCAR-F syllabus, covering Agentic Architecture & Orchestration, Tool Design & MCP Integration, Claude Code Configuration & Workflows, Prompt Engineering & Structured Output, Context Management & Reliability, and Architecture Case Studies & Mock Exam.