Claude Certified Architect – Foundations (CCAR-F) E-Learning

Certification Overview

Agentic AI Architecture

• Understand agentic system design principles.
• Build intelligent agent workflows.
• Manage agent decision-making processes.
• Design scalable AI architectures.

Multi-Agent Orchestration

• Coordinate multiple AI agents.
• Implement task delegation strategies.
• Enable parallel agent execution.
• Optimize agent collaboration patterns.

MCP Integration

• Understand Model Context Protocol.
• Configure MCP servers and tools.
• Design MCP resources and actions.
• Implement secure integrations.

Claude Code Configuration

• Configure CLAUDE.md effectively.
• Implement project-specific rules.
• Create reusable skills and commands.
• Manage development workflows.

Tool Design & Automation

• Design effective AI tools.
• Improve tool selection reliability.
• Create structured tool interfaces.
• Manage automated workflows.

Prompt Engineering

• Develop advanced prompts.
• Apply few-shot learning techniques.
• Build prompt chaining workflows.
• Improve response consistency.

Structured Outputs

• Design JSON schemas.
• Validate AI-generated outputs.
• Reduce hallucinations using schemas.
• Build extraction pipelines.

Context Management

• Optimize context windows.
• Manage long-running sessions.
• Implement scratchpad strategies.
• Improve information retention.

Reliability & Governance

• Implement error handling.
• Design escalation workflows.
• Enable human-in-the-loop reviews.
• Improve AI system reliability.

Enterprise AI Solution Design

• Architect production-ready AI systems.
• Design scalable business solutions.
• Optimize operational efficiency.
• Apply AI best practices.