Claude Certified Architect - Professional (CCAR-P) with Practice Exam
01
Skill level
All levels
02
Sections
8
03
Lectures
41
04
Instructor
Jared Matson
What's inside
This course includes.
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8
Sections
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41
Lectures
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38
Resources
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1
Quiz
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Chapter 1: Architecting Claude Solutions 8 lectures
1.00 Course Introduction
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Lecture 1.01: Framing Business Problems as Claude Solution Opportunities
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Lecture 1.02: Aligning Claude Solutions to Business Value Pillars
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Lecture 1.03: Decomposing Complex AI Solutions
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Lecture 1.04: Selecting Workflow, Augmented-LLM, and Agentic Patterns
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Lecture 1.05: Designing End-to-End Production Architectures
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Lecture 1.06: Designing Multi-Agent Systems
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Lecture 1.07: Selecting Multi-Agent Orchestration Strategies
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+ Chapter 2: Models and Prompting 5 lectures
Lecture 2.01: Selecting Claude Models for Production Workloads
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Lecture 2.02: Designing System Prompts, Templates, and Guardrails
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Lecture 2.03: Choosing Zero-Shot, Few-Shot, and Reasoning Strategies
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Lecture 2.04: Managing Context Windows and Token Budgets
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Lecture 2.05: Reusing Prompts with Caching, Modules, and Skills
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+ Chapter 3: Integrations and Retrieval 7 lectures
Lecture 3.01: Controlling Tool and Agent Capability Bloat
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Lecture 3.02: Securing Authentication and Authorization in Claude Integrations
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Lecture 3.03: Selecting MCP, APIs, CLI Tools, and Agent-to-Agent Integration
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Lecture 3.04: Designing RAG Chunking and Indexing Pipelines
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Lecture 3.05: Matching Retrieval Strategies to Data and Query Patterns
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Lecture 3.06: Balancing Accuracy and Latency Across Integrations
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Lecture 3.07: Designing Observability Across Integrated AI Components
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+ Chapter 4: Evaluation and Optimization 6 lectures
Lecture 4.01: Defining Evaluation Metrics and Acceptance Criteria
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Lecture 4.02: Building Evaluation Datasets and Mixed-Method Test Frameworks
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Lecture 4.03: Running A/B Tests and Iterative Improvements
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Lecture 4.04: Diagnosing Failures in Claude Systems
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Lecture 4.05: Optimizing Tokens, Latency, Cost, and Performance
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Lecture 4.06: Monitoring Production Quality and Performance
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+ Chapter 5: Risk, Safety, and Compliance 5 lectures
Lecture 5.01: Modeling Risks and Failure Modes in Claude Systems
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Lecture 5.02: Designing Guardrails and Safety Controls
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Lecture 5.03: Designing Human-in-the-Loop Validation
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Lecture 5.04: Translating Compliance Requirements into Architecture
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Lecture 5.05: Addressing Bias, Fairness, and Transparency
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+ Chapter 6: Discovery, Communication, and Lifecycle 5 lectures
Lecture 6.01: Structured Discovery and Requirements for Claude Solutions
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Lecture 6.02: Communicating Architectural Decisions and Trade-offs
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Lecture 6.03: Stakeholder Feedback, Expectations, and Service Levels
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Lecture 6.04: Architecture Documentation and Implementation Guidance
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Lecture 6.05: Managing the Claude Solution Lifecycle
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+ Chapter 7: Development Workflows 4 lectures
Lecture 7.01: Configuring Claude Development Environments for Teams
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Lecture 7.02: Designing AI-Assisted Developer Workflows
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Lecture 7.03: Debugging and Resolving Operational Issues with Claude
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Lecture 7.04 Find Your Exams
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Instructors
Taught by people who ship.
JM
Jared Matson
Instructor
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