| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Start Here The Exam, Decoded | |||
| 1. CCAR-P Exam Decoded 7 Domains, 63 Questions, No Practice Test.mp4 | 27.6 MB | ||
| 2 - Solution Design Patterns, Multi-Agent Systems and Business Value | |||
| 2. Workflow, Agent, or Neither The First Architect Call.mp4 | 66.2 MB | ||
| 3 - Models, Context and Integration | |||
| 4 - Evaluation, Optimization and Guardrails | |||
| 10. A Prompt Asks, Code Stops It Guardrails and Human-in-the-Loop.mp4 | 44.5 MB | ||
| 11. Where Does the Data Go Compliance Architecture.mp4 | 60.1 MB | ||
| 5 - Stakeholders and Team Practice | |||
| 12. Same Design, Different Sentence Defending Your Architecture.mp4 | 78.9 MB | ||
| 13. A Note Is Not a Wall Claude Code for Teams.mp4 | 60.5 MB | ||
| 6 - Failure Tear-Downs, Worked Questions and Exam Day | |||
| 14. It Was Never the Model Four Production Autopsies.mp4 | 99.1 MB | ||
| 15. The 3 Official CCAR-P Sample Questions, Dissected (+9 More).mp4 | 124.8 MB | ||
| 16. Exam Day Multiple-Response Tactics and the Clock.mp4 | 62.9 MB | ||
| 8. Better, or Just Different Eval Engineering.mp4 | 55.2 MB | ||
| 9. The Demo Lied A B Tests and Cost Optimization.mp4 | 80.6 MB | ||
| 4. Stop Re-Paying for the Same Prompt Models, Prompting and Caching.mp4 | 54.2 MB | ||
| 5. The Extra Tool Fails the Audit MCP vs API vs Agent-to-Agent.mp4 | 70.7 MB | ||
| 6. Confidently Wrong RAG Pipeline Design.mp4 | 77.3 MB | ||
| 7. Dashboards Green, Answers Garbage Monitoring at Scale.mp4 | 78.5 MB | ||
| 3. When a Second Agent Is a Liability Multi-Agent Systems.mp4 | 54.5 MB |
CCAR-P Exam Prep: Claude Certified Architect Professional
https://WebToolTip.com
Published 7/2026
Created by Vivek Amilkanthawar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 48m ) | Size: 1.1 GB
The first complete video course for the CCAR-P exam: worked questions, real failure tear-downs and all seven domains.
What you'll learn
⚡ Choose the right architecture pattern (augmented LLM, workflow or agent) and defend why the simplest pattern that meets the requirement wins
⚡ Design multi-agent systems only when they earn their cost, and tie every design decision to a concrete business value pillar
⚡ Select models and build prompts at architect altitude: caching mechanics, context budget discipline and prompt reuse with Skills
⚡ Choose between MCP, a plain API and agent-to-agent integration, and close the capability and auth gaps a security review would catch
⚡ Design a RAG pipeline: chunking trade-offs, indexing discipline and retrieval strategy matched to the data and the question
⚡ Build an eval harness with golden sets and mixed grading methods, then diagnose and optimize a system without breaking what works
⚡ Layer guardrails correctly (code for the musts, prompts for the shoulds) and map GDPR, HIPAA and FedRAMP to real controls
⚡ Defend an architecture to stakeholders, set an SLA for a probabilistic system, and diagnose failures with a repeatable tree
Requirements
❗ Comfortable with Claude Foundations-level concepts, or equivalent hands-on experience running a Claude system in production
❗ Basic familiarity with system design: services, data flow, trade-offs
❗ There is no official practice exam for this tier. This course assumes you already know how to build, and teaches you how to decide
❗ Nothing to install. This is a concepts and judgment course, not a coding walkthrough
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