Claude Certified Architect Professional (CCAR-P) Exam Prep by Kuljot Singh Bakshi

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 solutions

Requirements
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 course

Description
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 productivity

Hands-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 operations

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