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Claude Certified Architect Professional (CCAR-P) Exam Prep by Kuljot Singh Bakshi
Published 9/2026
Created by Kuljot Singh Bakshi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 78 Lectures ( 10h 30m ) | Size: 6.4 GB
Prepare for the CCAR-P exam with Hands-on Labs and Instructor-led videos
What you'll learn
Design production-ready Claude architectures using agentic, multi-agent, workflow and augmented LLM patterns Build and integrate Claude solutions using RAG, MCP, A2A communication, APIs, tools and Skills Evaluate and optimize Claude systems for accuracy, latency, cost, safety, security and observability Apply guardrails, human-in-the-loop controls, governance and operational best practices to Claude AI solutionsRequirements
Basic familiarity with Claude, generative AI and large language models (LLMs) is recommended Basic Python programming knowledge will be helpful for following the hands-on labs Prior experience building AI or LLM-powered applications is helpful, but not mandatory No prior Anthropic certification is required - all exam-relevant concepts are covered throughout the courseDescription
Prepare confidently for theClaude Certified Architect - Professional (CCAR-P) certification with a comprehensive course designed around the skills required to architect, integrate, evaluate, and operationalize production-grade AI solutions using Claude.
This course goes beyond theory. Alongside the core concepts required for the certification exam, you'll explorereal-world architectural patterns and hands-on implementations that help you understand how Claude-powered systems are actually designed and built.
What You'll Learn
Throughout the course, you'll learn how to
Translate business requirements intoend-to-end Claude-based architectures Select betweenworkflow, agentic, multi-agent, and augmented LLM patterns Designmulti-agent systems, including Subagents, Handoffs, Routers, and custom workflows Engineer prompts and manage context usingprompt caching, modular prompts, and Skills Design production-readyRAG pipelines, including chunking, indexing, and retrieval strategies Integrate Claude usingMCP, APIs, CLI, tools, and agent-to-agent (A2A) communication Build evaluation strategies coveringaccuracy, latency, cost, safety, and security Implementguardrails, human-in-the-loop controls, authentication, authorization, and observability Understand commonLLM risks, failure modes, governance, and regulatory considerations UseClaude Code and AI-assisted development workflows to improve developer productivityHands-On Learning
This is not a course where we spend hours simply admiring architecture diagrams! You'll reinforce the concepts throughhands-on labs and practical demonstrations, giving you experience with the technologies and architectural patterns covered throughout the certification.
Exam Preparation
The course content is structured around theofficial CCAR-P exam study guide, helping you systematically develop the knowledge required across solution architecture, integration, evaluation, optimization, governance, safety, and operational enablement.
Whether you're anAI architect, solution architect, AI/ML engineer, developer, or technical lead, this course will help you strengthen your Claude architecture skills while preparing for theClaude Certified Architect - Professional certification exam.
Who this course is for
Professionals preparing for the Claude Certified Architect - Professional (CCAR-P) certification exam AI architects and solution architects designing production-grade applications and agentic systems with Claude AI/ML engineers and developers looking to advance from building Claude applications to architecting scalable AI solutions Technical leads and AI practitioners working with RAG, multi-agent systems, MCP, evaluation, governance and LLM operationsHomepage
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