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Claude Practitioner for Developers
Duration
3 Days
Course
AICL-200
Available Formats
Classroom Training, Online Training
Course Description
Overview
This Claude Practitioner for Developers course is designed to take developers from working knowledge of the Claude API into the architectural and design patterns that real applications require. Over three days of hands-on, scenario-driven instruction, participants build production-grade prompting and structured extraction pipelines, implement correct agentic loops and multi-agent orchestration, integrate external tools through the Model Context Protocol, and apply the context management and reliability patterns that separate prototypes from deployable systems. Participants also develop working fluency with Claude Code as a daily development tool. The course delivers production-ready Claude development skills valuable to any developer building with Claude — with content that also directly aligns with the highest-weighted domains of the Claude Certified Architect — Foundations certification for participants pursuing that credential.Day 1 takes the prompting, tool use, and context basics a developer already knows and rebuilds them at production depth — categorical criteria for reliability, schema design patterns for edge cases, validation and retry loops, and context architecture for long documents. Day 2 moves up a level to system architecture — the agentic loop, multi-agent orchestration with coordinator and subagent patterns, and integration with external tools through MCP. Day 3 covers the production surface — Claude Code for team development, context management across extended sessions, and the reliability patterns that keep multi-step systems running safely.
Objectives
Upon completion of the Claude Practitioner for Developers course, students will be able to:
- Design prompts with explicit, categorical criteria and few-shot examples that produce consistent, production-quality outputs
- Enforce structured output using tool use with JSON schemas and implement validation and retry patterns for extraction quality
- Manage context windows effectively across long documents and extended multi-turn conversations
- Implement correct agentic loops with proper stop_reason handling, tool result management, and termination logic
- Design multi-agent systems using hub-and-spoke coordinator patterns with appropriate task decomposition and context passing
- Integrate external tools into Claude-based applications using the Model Context Protocol, including effective tool interface design and structured error responses
- Configure Claude Code for team development including CLAUDE.md hierarchy, custom commands, plan mode, and structured CI/CD integration
- Apply context preservation, escalation, and error propagation patterns that counteract the most common production failure modes
Audience
Software developers, backend and full-stack engineers, and solution architects building Claude-based applications who need production-grade development skills. Valuable to any developer going beyond basic Claude API use, and directly aligned with certification preparation for candidates pursuing the Claude Certified Architect credential.
Prerequisites
-
Completion of Claude Essentials for Developers or equivalent working experience with the Claude API including basic tool use. Working proficiency in Python or JavaScript. Familiarity with asynchronous programming patterns is helpful.
Topics
- Prompting for Production: Categorical Criteria and Edge-Case Control
- Moving from explicit instructions to categorical criteria that reduce false positive rates
- Severity classification and ambiguous-case handling with concrete few-shot examples
- Few-shot prompting for varied document structures and edge cases
- Hands-on lab: build a production-grade few-shot prompt for a realistic extraction task
- Production Schema Design and Tool Choice Control
- Designing JSON schemas with nullable fields and extensible enum patterns
- tool_choice options — auto, any, and forced selection — and when each is appropriate
- Handling ambiguous matches, absent information, and multi-match cases in schema design
- Hands-on lab: refactor a basic tool-use integration into a production-grade extraction pipeline
- Validation, Retry, and Feedback Loops
- Retry-with-error-feedback for model self-correction
- Distinguishing retryable format errors from unresolvable absent information
- Self-correction validation flows: calculated versus stated values
- Context Architecture for Long Documents and Extended Sessions
- The lost-in-the-middle effect and its practical implications for document processing
- Persistent data blocks for critical transactional information
- Trimming verbose tool outputs before context accumulation
- Batch versus synchronous processing: matching approach to latency requirements
- Day 1 Synthesis
- Integrating production-grade prompting, schema design, validation, and context architecture in a single extraction pipeline
- Setting up for Day 2: from reliable single calls to multi-step systems
- The Agentic Loop
- Agentic loop lifecycle: request, stop_reason inspection, tool execution, result return
- Model-driven decision-making versus pre-configured tool sequences
- Common anti-patterns: arbitrary iteration caps, natural language termination
- Hands-on lab: implement a correct agentic loop with multi-tool control flow
- Multi-Agent Orchestration
- Hub-and-spoke coordinator architecture
- Task decomposition, delegation, and result aggregation
- Routing inter-agent communication through the coordinator
- Iterative refinement loops and dynamic subagent selection
- Subagent Configuration and Context Passing
- Subagent configuration and why subagents do not inherit parent context
- Explicit context injection and structured data formats for preserving attribution
- Parallel subagent spawning for concurrent workstreams
- Hands-on lab: build a multi-agent pipeline with coordinator and specialized subagents
- Model Context Protocol: Design and Integration
- What MCP is and its role in Claude's tool use architecture
- Effective tool interface design: descriptions, input boundaries, and edge case documentation
- Tool distribution across multi-agent systems and scoped tool access
- Choosing community MCP servers versus custom implementations
- Structured Error Responses for Agent Recovery
- The isError flag pattern for communicating tool failures
- Error categories: transient, validation, business, and permission
- Structured error metadata for intelligent coordinator recovery
- Local recovery within subagents versus propagation to the coordinator
- Day 2 Synthesis
- Integrating agentic architecture, multi-agent orchestration, and MCP-based tool integration
- Setting up for Day 3: from architecture to production operations
- Claude Code for Team Development
- CLAUDE.md configuration at user, project, and directory levels
- Custom slash commands and skills with appropriate frontmatter
- Plan mode versus direct execution: choosing the right approach for the task
- Hands-on lab: configure Claude Code for a realistic team repository scenario
- Claude Code in CI/CD
- Non-interactive mode and structured JSON output for pipeline integration
- SessioN context isolation: independent review instances versus self-review
- CLAUDE.md as context for CI-invoked Claude Code
- Hands-on lab: build a CI integration that posts structured code review output
- Production Failure Patterns
- Context degradation: progressive summarization risks and the lost-in-the-middle effect in extended sessions
- Tool output accumulation: verbose results consuming disproportionate context
- Escalation failures: sentiment-based routing and unreliable confidence proxies
- Error suppression and attribution loss across agent handoffs
- Context Preservation at Scale
- Persistent case fact blocks for transactional information across long interactions
- Scratchpad patterns and subagent delegation for extended sessions
- Structured state persistence and manifest-based recovery
- Escalation and Human Review Design
- Appropriate escalation triggers: explicit requests, policy gaps, inability to progress
- Why sentiment-based escalation and confidence scores are unreliable
- Confidence-calibrated human review workflows with appropriate routing thresholds
- Handling multiple-match ambiguity: clarification over heuristic selection
- From Practice to Deployment
- Integrating the course's patterns into your own application architecture
- What to take back to your team and apply before returning for certification preparation
- The value of applied practice time before Cert Prep
- Next steps: certification, deeper specialization, role-based paths
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