Agentic Architecture Mastery
Learn to build agentic loops, implement multi-agent patterns, and manage sessions effectively
Comprehensive Tool Design
Master writing clear tool descriptions, setting up MCP servers, and designing structured error responses
Claude Code Expertise
Understand CLAUDE.md hierarchy, customize commands, and integrate CI/CD workflows with Claude Code
About the Course
The Claude Certified Architect – Foundations Preparation Course is a comprehensive, self-paced program that prepares you for Anthropic's certification exam across all five tested domains: agentic architecture, tool design and MCP integration, Claude Code configuration, prompt engineering with structured output, and context management. Unlike courses that force every student through the same 60-hour path, each of the five core modules opens with a 12-question pre-assessment that measures your existing knowledge and directs you to the specific lessons where you have gaps — so if you already know how to design multi-agent orchestration patterns or write effective tool descriptions, you skip ahead and invest your time where it actually matters. The course includes hands-on exercises with working code, three capstone projects that mirror real exam scenarios, and a full-length practice exam with detailed answer mapping back to specific lessons. Whether you need the full curriculum or a targeted refresher on two domains, the pre-assessments ensure you spend zero time reviewing what you've already mastered.
Course Curriculum
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1
Orientation
- 0.1 Course Overview and Exam Structure Free preview
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Knowledge Check: Course Overview and Exam Structure
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0.2 Environment Setup - Node.js Claude Code Anthropic API Key GitHub Repo
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Student Exercises - Starter Projects and Solutions
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2
Module 1: Agentic Architecture
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Module 1 Pre-Assessment
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1.1 The Agentic Loop Lifecycle
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Knowledge Check: The Agentic Loop Lifecycle
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1.2 Implementing Your First Agentic Loop
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1.3 stop_reason Tool Results and Loop Termination
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Knowledge Check: stop_reason Tool Results, and Loop Termination
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1.4 Anti-Patterns in Loop Control
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Knowledge Check: Anti-patterns in Loop Control
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1.5 Multi-Agent Orchestration - Hub-and-Spoke Architecture
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Knowledge Check: Multi-Agent Orchestration - Hub-and-spoke Architecture
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1.6 Subagent Spawning Context Passing and the Task Tool
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Knowledge Check: Subagent Spawning
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1.7 Parallel vs Sequential Subagent Execution
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1.8 Multi-Step Workflow Enforcement and Handoff Patterns
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Knowledge Check: Multi-Step Workflow Enforcement and Handoff Patterns
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1.9 Programmatic Hooks - PostToolUse and Tool Call Interception
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Knowledge Check: Programmatic Hooks - PostToolUse and Tool Call Interception
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1.10 Session Management - Resume Fork Named Sessions
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Knowledge Check: Session Management - Resume, Fork, Named Sessions
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1.11 Domain 1 Scenario Practice
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Domain Practice Test
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1.12 Implementing Workflow Enforcement
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3
Module 2: Tool Design
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Module 2 Pre-Assessment
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2.1 Tool Descriptions as the Selection Mechanism
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Knowledge Check: Tool Descriptions as the Selection Mechanism
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2.2 Writing Effective Tool Interfaces
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2.3 Structured Error Responses - isError Error Categories Retryability
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Knowledge Check: Structured Error Response
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2.4 Tool Distribution Across Agents and tool_choice Configuration
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Knowledge Check: Tool Distribution Across Agents and tool_choice Configuration
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2.5 MCP Fundamentals - Servers Tools Resources .mcp.json
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Knowledge Check: MCP Fundamentals - Servers, Tools, Resources, .mcp.json
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2.6 Configuring an MCP Server in Claude Code
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2.7 Built-In Tools - Read Write Edit Bash Grep Glob
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Knowledge Check: Built-In Tools - Read, Write, Edit, Bash, Grep, Glob
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2.8 Domain 2 Scenario Practice
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Domain Practice Test
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2.9 Implementing Structured Error Responses
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4
Module 3: Claude Code
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Module 3 Pre-Assessment
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3.1 CLAUDE.md Configuration Hierarchy
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Knowledge Check: CLAUDE.md Configuration Hierarchy
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3.2 Building a CLAUDE.md for a Sample Project
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3.3 Custom Slash Commands _ Skills (Frontmatter Options)
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Knowledge Check: Custom Slash Commands & Skills (Frontmatter Options)
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3.4 Path-Specific Rules with .claude-rules- and Glob Patterns
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3.5 Plan Mode vs Direct Execution - Decision Framework
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Knowledge Check: Plan Mode vs Direct Execution - Decision Framework
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3.6 Iterative Refinement - Interview Pattern Test-Driven Iteration I-O Examples
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Knowledge Check: Iterative Refinement - Interview Pattern, Test-Driven Iteration, I-O Examples
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3.7 Integrating Claude Code into CI-CD - -p Flag --output-format --json-schema
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Knowledge Check: Integrating Claude Code into CI-CD - -p Flag, --output-format, --json-schema
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3.8 The Explore Subagent compact and Session Management
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Knowledge Check: The Explore Subagent, compact, and Session Management
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3.9 Domain 3 Scenario Practice
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Domain Practice Test
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5
Module 4: Prompt Engineering
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Module 4 Pre-Assessment
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4.1 Explicit Criteria vs Vague Instructions
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Knowledge Check: Explicit Criteria vs Vague Instructions
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4.2 Few-Shot Prompting for Consistency and Ambiguity Handling
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Knowledge Check: Few-Shot Prompting for Consistency and Ambiguity Handling
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4.3 Writing Few-Shot Examples
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4.4 Structured Output via tool_use - JSON Schemas Enums Nullable Fields
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Knowledge Check: Structured Output via tool_use - JSON Schemas, Enums, Nullable Fields
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4.5 Schema Design Patterns - -other- _ Detail String Optional vs Required
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4.6 Validation-Retry Loops and Feedback-Driven Self-Correction
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Knowledge Check: Validation-Retry Loops and Feedback-Driven Self-Correction
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4.7 Batch Processing with the Message Batches API
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Knowledge Check: Batch Processing with the Message Batches API
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4.8 Multi-Pass Review Architectures and Prompt Chaining
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Knowledge Check: Multi-Pass Review Architectures and Prompt Chaining
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4.9 Domain 4 Scenario Practice
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Domain Practice Test
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Module 5: Context Management
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Module 5 Pre-Assessment
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5.1 Context Window Fundamentals - Token Budgets Lost-in-the-Middle Effect
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Knowledge Check: Context Window Fundamentals - Token Budgets, Lost-in-the-Middle Effect
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5.2 Trimming Tool Outputs and Structured Fact Extraction
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Knowledge Check: Trimming Tool Outputs and Structured Fact Extraction
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5.3 Progressive Summarization Risks and Case Facts Blocks
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Knowledge Check: Progressive Summarization Risks and Case Facts Blocks
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5.4 Escalation Patterns - When to Escalate vs Resolve
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Knowledge Check: Escalation Patterns - When to Escalate vs Resolve
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5.5 Error Propagation in Multi-Agent Systems
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Knowledge Check: Error Propagation in Multi-Agent Systems
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5.6 Scratchpad Files Crash Recovery and Structured State Persistence
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Knowledge Check: Scratchpad Files, Crash Recovery, and Structured State Persistence
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5.7 Human Review Workflows - Confidence Calibration and Stratified Sampling
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Knowledge Check: Human Review Workflows - Confidence Calibration and Stratified Sampling
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5.8 Domain 5 Scenario Practice
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Domain Practice Test
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7
Module 6: Capstone Projects
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6.1 Project A - Multi-Tool Customer Support Agent
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6.2 Project B - Claude Code Team Configuration
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6.3 Project C - Structured Data Extraction Pipeline
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8
Module 7: Exam Readiness
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7.1 Anatomy Of A Scenario-Based Exam Question
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Knowledge Check: Anatomy Of A Scenario-Based Exam Question
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7.2 Full-Length Practice Exam Simulation
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Practice Exam
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7.3 Practice Exam Debrief _ Weak-Area Identification
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What you need going into this course
Accounts & Access Anthropic API account with a minimum of $5.00 in API credits loaded (covers all exercises and capstone projects if worked through efficiently) Claude Pro, Max, or Team subscription for Claude Code access Basic familiarity with a programming language (JavaScript or Python recommended) Comfort using a terminal and running CLI commands General understanding of what LLMs are and what APIs do Exam Eligibility While anyone can take this course to build their skills, Anthropic is currently limiting certification exam access to members of the Anthropic Partner Program. If you are not yet a partner program member, the course still provides valuable hands-on training with Claude's core technologies, and you will be prepared to sit for the exam when access expands or your firm is approved for the Partner Program
Ready to Transform Your Career?
Unlock your full potential with our comprehensive course on Claude for solution architects. Enroll now to take the next step towards becoming a Claude expert!
$95.00