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Unclaimed ProfilePreparing for the Anthropic Claude Certified Architect certification requires more than just theoretical knowledge; it demands practical, scenario-based problem-solving skills. This comprehensive practice exam course, developed by Sundog Education by Frank Kane, is designed specifically for AI architects, software engineers, and developers looking to validate their expertise in building advanced applications with Anthropic's Claude models. Spanning across three full-length practice tests with 180 highly realistic questions, the curriculum systematically covers all five official exam domains. Learners will dive deep into designing robust agentic architectures, evaluating Model Context Protocol (MCP) tool designs, and configuring Claude Code for seamless team workflows. Additionally, the exams test your ability to master prompt engineering, structured JSON outputs, and complex context management issues in multi-turn conversational systems. With detailed explanations and direct links to official documentation for every question, this course serves as an essential diagnostic tool. It helps candidates pinpoint their knowledge gaps, refine their architectural strategies, and approach the official certification exam with absolute confidence.
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Sundog Education by Frank Kane
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Frank Kane is the founder of Sundog Education, an online learning platform dedicated to making highly technical concepts accessible to developers worldwide. With a rich background that includes over nine years as a senior engineer and manager at Amazon and IMDb, Frank brings real-world industry expertise directly into his curriculum. Over his career, he has designed and managed massive distributed systems, a foundation that informs his popular courses on System Design and Cloud Computing. As technology has shifted, Frank has transitioned his focus to modern artificial intelligence, machine learning, and generative AI frameworks. He specializes in translating cutting-edge developments, such…Show more
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Learning format
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What You'll Learn
- Choose the right agentic architecture patterns, including coordinator-subagent designs, loop control flow, and escalation strategies
- Evaluate MCP tool and resource designs, distinguishing effective patterns from common anti-patterns tested on the exam
- Configure Claude Code for team workflows using markdown hierarchy, custom commands, plan mode, and MCP integration
- Apply prompt engineering and structured output techniques such as few-shot prompting, prompt chaining, and JSON schemas
- Diagnose context management issues in multi-turn and multi-agent systems using summarization, scratchpad, and session tools
- Identify your weak areas across all five exam domains so you can focus your remaining study time before the real exam
Best For
- AI Architects and Engineers preparing for the official Anthropic Claude Certified Architect exam
- Software developers looking to validate their proficiency in agentic design patterns and Model Context Protocol (MCP)
- Technical leads aiming to improve their mastery of Claude’s structured outputs and prompt engineering best practices
- Learners who need a diagnostic tool to identify and bridge knowledge gaps across all five official certification domains
Not For
- Absolute beginners with no prior experience in AI model deployment or software architecture
- Individuals looking for introductory Claude prompt engineering tutorials rather than high-level architectural scenarios
- Candidates seeking foundational coding lessons or Python programming instruction
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