This course is designed to help you build the knowledge and architectural thinking required to design, integrate, evaluate, secure, and operate production-grade AI solutions using Anthropic’s Claude platform.
The CCAR-P certification focuses on more than simply using Claude or writing effective prompts. It assesses your ability to make architectural decisions across the complete lifecycle of Claude-powered AI systems—from understanding business requirements and selecting models to designing integrations, evaluating system performance, managing risks, and communicating decisions to stakeholders.
What you’ll learn
Throughout this course, you’ll explore the key areas covered by the CCAR-P exam, including:
- Solution Design & Architecture – Translate business problems into Claude-based solutions and design scalable end-to-end architectures.
- Claude Models, Prompting & Context Engineering – Select appropriate models and apply prompting, context management, guardrails, caching, and other optimization strategies.
- Integration – Work with APIs, MCP, CLI, agents, RAG pipelines, authentication, authorization, observability, and integration patterns.
- Evaluation, Testing & Optimization – Design evaluation strategies, test AI systems, diagnose failures, and optimize accuracy, latency, token usage, and cost.






