Claude Certified Architect Professional CCAR-P Video Course
This course runs for 10h 10m. It is taught by Jon Bonso AWS Generative AI Developer, AWS Certified Solutions Architect, Irene Bonso, published by Udemy, and was released on 2026-09-19. The course taught in en-US and includes exercise files.
Course Overview
The Claude Certified Architect Professional CCAR-P Video Course is designed to master all seven CCAR-P domains including solution architecture, agentic systems, integration, evaluation, and governance. This advanced course prepares solution architects, AI and machine learning engineers, technical leads, and senior developers to design and deliver production-grade AI solutions using Claude models and architectural patterns.
The course covers comprehensive topics such as architectural judgment, technical trade-offs, stakeholder alignment, and ownership across the complete solution lifecycle. It includes lessons on business discovery, requirement analysis, workload decomposition, multi-agent orchestration, prompt and context design, enterprise integration, evaluation frameworks, performance optimization, governance, safety, risk management, and operational enablement.
Key Takeaways
Design end-to-end integration architectures connecting Claude to enterprise systems, tools, and data sources.
Architect scalable, production-grade AI solutions using Claude models, agentic workflows, and retrieval pipelines.
Build evaluation frameworks to test, measure, and optimize Claude-powered systems before and after launch.
Apply governance, safety, and risk management practices required for production-grade Claude deployments.
Prerequisites
No formal prerequisites; certification is awarded based on exam performance.
Recommended: 3+ years of experience in systems architecture or platform engineering.
Recommended: 6+ months of hands-on experience running Claude or a similar LLM system in production.
Target Learners
This course is intended for solution architects, technical leads, and senior engineers who manage production Claude systems end-to-end. It is not an introductory course and assumes real-world experience with LLM-based systems, prompting, and agents.