Claude Certified Architect – Foundations (CCAR-F)

About this course

Prepare for the Claude Certified Architect – Foundations certification with comprehensive, scenario-based practice tests designed for professionals responsible for planning and designing Claude-powered solutions.This course is intended for solution architects, enterprise architects, cloud architects, AI architects, technical leads, principal engineers, senior developers, consultants, and professionals moving into generative AI architecture roles.The practice tests focus on the foundational architectural knowledge required to design secure, scalable, reliable, maintainable, and production-ready solutions using Claude. Questions cover both Claude-specific concepts and broader architecture considerations that influence the success of enterprise generative AI systems.Topics include Claude APIs, model selection, prompt architecture, context management, structured outputs, tool use, agents, retrieval-augmented generation, enterprise integrations, authentication, data protection, governance, evaluation, monitoring, observability, scalability, reliability, resilience, performance, cost management, and human oversight.Many questions are presented as realistic architecture scenarios. You may be asked to compare multiple solution options, identify the most significant risk, choose the most appropriate architecture pattern, or determine which control should be introduced before moving a solution into production.The scenarios may involve:Selecting suitable Claude integration patternsDesigning multi-tier generative AI applicationsChoosing between direct prompting, RAG, tools, and agentsIntegrating Claude with internal systems and external servicesDesigning secure data flowsProtecting confidential or regulated informationApplying authentication and authorisation controlsManaging prompt and context architectureDesigning reliable tool-use workflows

Course objectives

• prepare for the Claude Certified Architect certification
• develop scenario-based problem-solving skills
• master the fundamentals of AI architecture