| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Professional Solution Architecture | |||
| 1. Welcome From Foundations to Professional Architecture.mp4 | 36.4 MB | ||
| 10 - Developer Productivity and Operational Enablement | |||
| 2 - Claude API and Application Foundations | |||
| 12. First Request API Key, Messages, max_tokens, stop_reason.mp4 | 70.3 MB | ||
| 13. Multi-Turn Conversations and Manual History.mp4 | 59 MB | ||
| 14. Conversation Helper Functions and Chat Loop.mp4 | 54.2 MB | ||
| 15. System Prompts, Behavior, and Application Enforcement.mp4 | 63.9 MB | ||
| 16. Temperature, Model Selection, Prefill & Stop Sequences.mp4 | 64.7 MB | ||
| 17. Prompt Evaluation Workflow.mp4 | 43.5 MB | ||
| 18. Grading Claude Outputs Code, Model, and Human Review.mp4 | 85.5 MB | ||
| 3 - Models, Prompts, and Context Strategy | |||
| 19. Selecting Claude Models for Production Workloads.mp4 | 24.9 MB | ||
| 20. Balancing Accuracy, Latency, and Cost.mp4 | 27.5 MB | ||
| 21. Designing System Prompts, Templates, and Guardrails.mp4 | 25.8 MB | ||
| 22. Context Windows and Token Strategy.mp4 | 28 MB | ||
| 23. Prompt Reuse Caching, Modular Prompts, and Skills.mp4 | 23.8 MB | ||
| 4 - Structured Output and Knowledge-Grounded Systems | |||
| 24. Tool Schemas, Tool Choice, and First Tool Use.mp4 | 103.5 MB | ||
| 25. Structured Output with tool_use, JSON Schema, and tool_choice.mp4 | 88.7 MB | ||
| 26. Zero-Shot, Few-Shot, and Reasoning-Oriented Prompting.mp4 | 14.2 MB | ||
| 27. Prompt Boundaries and Untrusted Content.mp4 | 24.7 MB | ||
| 28. Progressive Context Discovery.mp4 | 18.8 MB | ||
| 29. Grounded Answers, Evidence, and Output Validation.mp4 | 29.1 MB | ||
| 30. BUILD ShopAssist Extracts Structured Return Requests.mp4 | 96.9 MB | ||
| 5 - RAG and Enterprise Knowledge Architecture | |||
| 31. RAG Architecture From Enterprise Data to Claude.mp4 | 29.4 MB | ||
| 32. Chunking Strategies for Different Content.mp4 | 24.6 MB | ||
| 33. Indexing and Retrieval Strategy.mp4 | 27.7 MB | ||
| 34. Diagnosing Retrieval Quality Before Blaming the Model.mp4 | 14.9 MB | ||
| 35. Choosing Integration Protocols API, CLI, MCP, or Agent-to-Agent.mp4 | 25.9 MB | ||
| 36. BUILD ShopAssist Backend Tools and MCP Integration.mp4 | 126.5 MB | ||
| 6 - Enterprise Integration and Access Design | |||
| 37. Authentication and Authorization Are Different Problems.mp4 | 13.2 MB | ||
| 38. Capability Bloat and Least Privilege.mp4 | 23 MB | ||
| 39. Observability for Distributed Claude Integrations.mp4 | 25.6 MB | ||
| 40. Multi-Agent Architecture at Enterprise Scale.mp4 | 30.8 MB | ||
| 41. Decomposing Complex Business Problems.mp4 | 24.2 MB | ||
| 42. Designing for Accuracy-Latency Trade-Offs.mp4 | 28.1 MB | ||
| 43. Feedback and Handoff Across Complex Workflows.mp4 | 26.5 MB | ||
| 44. BUILD ShopAssist Becomes an Agentic System.mp4 | 97 MB | ||
| 7 - Evaluation, Testing, and Optimization | |||
| 45. Designing the Evaluation Scorecard.mp4 | 24.4 MB | ||
| 46. Building Representative Evaluation Datasets.mp4 | 31.1 MB | ||
| 47. Mixed Evaluation Code, Models, and Humans.mp4 | 27.3 MB | ||
| 48. A B Testing Claude System Changes.mp4 | 25.4 MB | ||
| 49. Diagnosing Prompt Failure, Hallucination, Model Mismatch, or Retrieval Failure.mp4 | 28.3 MB | ||
| 50. Optimizing Tokens and Context Cost.mp4 | 26.8 MB | ||
| 51. Optimizing Latency Without Sacrificing Reliability.mp4 | 21.4 MB | ||
| 52. Production Logging, Monitoring, and Observability.mp4 | 25 MB | ||
| 8 - Governance, Safety, and Risk | |||
| 53. Building an LLM Risk Model.mp4 | 34.9 MB | ||
| 54. Layered Guardrails and Safety Controls.mp4 | 23.6 MB | ||
| 55. Designing Human-in-the-Loop Validation.mp4 | 27.9 MB | ||
| 56. Privacy and GDPR Architecture.mp4 | 30.8 MB | ||
| 57. Healthcare Data and HIPAA Considerations.mp4 | 29.8 MB | ||
| 58. Government Workloads and FedRAMP Considerations.mp4 | 23.7 MB | ||
| 59. Bias, Fairness, and Transparency.mp4 | 14 MB | ||
| 9 - Stakeholders and Solution Lifecycle | |||
| 60. Structured Discovery with Stakeholders.mp4 | 28.6 MB | ||
| 61. Communicating Architecture Decisions and Trade-Offs.mp4 | 27.5 MB | ||
| 62. Managing Stakeholder Feedback and SLA Expectations.mp4 | 23.8 MB | ||
| 63. Architecture Documentation That Teams Can Implement.mp4 | 28.6 MB | ||
| 64. From Discovery to Handoff.mp4 | 27.4 MB | ||
| 65. From Deployment to Monitoring and Iteration.mp4 | 28.4 MB | ||
| 66. Claude Code and AI-Assisted Developer Workflows.mp4 | 27.1 MB | ||
| 67. Debugging and Operational Issue Resolution.mp4 | 31.8 MB | ||
| 10. Architecture Decisions and Trade-Off Analysis.mp4 | 31 MB | ||
| 11. ShopAssist AI From Application to Enterprise Solution.mp4 | 25.6 MB | ||
| 2. CCAR-P Exam Format and Seven Domains.mp4 | 25.5 MB | ||
| 3. What Makes an AI Architect Professional-Level.mp4 | 25.8 MB | ||
| 4. Translating a Business Problem into an AI Solution.mp4 | 31.6 MB | ||
| 5. Business Value Efficiency, Productivity, Transformation, and Cost.mp4 | 26.7 MB | ||
| 6. Functional Requirements, Constraints, and SLAs.mp4 | 33.7 MB | ||
| 7. Designing the End-to-End AI System.mp4 | 24.7 MB | ||
| 8. Workflow, Agentic, or Augmented LLM.mp4 | 29.7 MB | ||
| 9. Designing for Feedback Loops.mp4 | 26.1 MB |
Claude Certified Architect Professional: Complete Course
https://WebToolTip.com
Published 10/2026
Created by Anton Voroniuk• 1.250.000+ Students, Anton Voroniuk Support
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 67 Lectures ( 5h 57m ) | Size: 2.4 GB
Pass the Claude Architect Professional exam and design production AI systems with RAG, agents, governance, and evals.
What you'll learn
⚡ Translate business problems and requirements into production-grade Claude solution architectures aligned with measurable business outcomes.
⚡ Design end-to-end Claude systems using direct LLM interactions, deterministic workflows, RAG, tools, MCP, agentic workflows, and multi-agent architectures.
⚡ Select Claude models and prompting strategies based on quality, latency, cost, context, token usage, workload characteristics, and production SLAs.
⚡ Design enterprise RAG systems with appropriate ingestion, chunking, indexing, retrieval, progressive context discovery, grounding, and validation strategies.
⚡ Choose between APIs, CLI integrations, MCP, and agent-to-agent communication based on coupling, security, reuse, observability, and system boundaries.
⚡ Build evaluation strategies using representative datasets, deterministic graders, model-based evaluation, human review, A/B testing and production monitoring.
⚡ Optimize Claude systems for token usage, context size, latency, cost, reliability, and production performance without sacrificing critical quality controls.
⚡ Apply production security and governance patterns including prompt boundaries, least privilege, layered guardrails, human validation, privacy and compliance.
⚡ Design observability for Claude systems using logs, metrics, traces, model and prompt versions, retrieval behavior and tool execution.
⚡ Communicate architectural decisions, alternatives, risks, costs, and SLA trade-offs to technical teams, business stakeholders, and executive audiences.
⚡ Manage the lifecycle of a Claude solution from discovery and architecture through implementation handoff, deployment, monitoring and incident learning.
⚡ Prepare for the Claude Certified Architect - Professional exam by connecting all seven exam domains to practical architecture decisions.
Requirements
❗ There are no mandatory certification prerequisites required to sit the CCAR-P exam, but this is a professional-level course intended for learners with prior technical experience.
❗ Experience with software architecture, platform engineering, backend development, cloud systems, or production AI applications is strongly recommended.
❗ Basic familiarity with Claude or another large language model is recommended. You should already understand fundamental concepts such as prompts, APIs, JSON, application integrations, and model responses.
❗ Basic Python knowledge is helpful for following the ShopAssist implementation examples, but the primary focus of the course is architecture and technical decision-making rather than Python programming.
❗ Experience working with production systems, APIs, security controls, monitoring, stakeholder requirements, or system design will make the professional-level scenarios easier to understand.
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| 6.7 GB | JackieALF | 2 weeks | 0 | 0 | |
| 3.5 GB | freecoursewb | 2 weeks | 64 | 8 | |
| 1.8 GB | freecoursewb | 1 month | 9 | 3 | |
| 3.3 GB | freecoursewb | 1 month | 88 | 37 | |
| 2.1 GB | freecoursewb | 1 month | 41 | 16 |
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