Claude Training Resources

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Start with Claude Foundations, go deeper with the restored advanced agent labs, or test readiness with the Cloud Architect Practice Exam.

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Claude API Development and Integration Guide

The source material for this lab lives in a NotebookLM notebook. Use it to ask follow-up questions, explore topics in more depth, or get a plain-English explanation of any concept while working through the modules.

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Foundations modules

Each module builds on the last. By the end you'll have a working blueprint for an autonomous AI marketing agent, and a solid grasp of every feature the exam tests.

01
Dev Environment & Foundations
Install VS Code, set up Jupyter notebooks, and connect the Anthropic Python SDK to verify your environment before Module 2.
02
Agentic Loops & SDK Foundations
Master the Messages API stateless design (including how tool_result blocks re-enter history), set up the Agent SDK, identify ZDR-eligible features, and control conversation flow with the agentic loop stop_reason pattern.
03
Tool Design & Tool Choice Strategy
Write disambiguating tool descriptions to prevent misrouting, force prerequisite calls with tool_choice, and enforce strict JSON schemas on tool inputs.
04
Multi-Agent Orchestration (Agent SDK)
Build a hub-and-spoke coordinator with the Agent SDK Task tool, spawn subagents in parallel, and pass context explicitly across their isolated histories.
05
Scaling & Batch Constraints
Contrast synchronous loops with async batches, internalize the no-multi-turn-tools constraint, and resubmit only failed records by custom_id at a 50% discount.
06
Claude Code & Skills
Explore large codebases with Grep and Glob, use deterministic Edit fallbacks, compare fixes with forked sessions, and govern repository standards with CLAUDE.md and path-scoped rules.
07
MCP Mastery
Scope MCP servers for teams, secure credentials with env expansion, publish Resources to avoid discovery calls, and standardize tool descriptions and error propagation.
08
Prompt Engineering for Precision
Replace vague instructions with explicit criteria, use few-shot reasoning, enforce strict schema limits, nullable fields, prerequisite tool_choice, and validation-retry loops.
09
Reliability & Deterministic Enforcement
Combine forced prerequisites, PreToolUse refund gates, structured error contracts, and PostToolUse MCP normalization for defense-in-depth workflows.
10
Compliance & Escalation
Audit ZDR eligibility, apply US inference pricing rules, define policy-based escalation triggers, and produce strict human handoff payloads.
11
Advanced Decomposition
Manage durable research loops with server-side compaction, case facts, adaptive re-planning, structured subagent failure reports, and thinking hygiene.
12
Final Project: Enterprise Orchestrator
Capstone that ties everything together: Claude Agent SDK, MCP, hub-and-spoke subagents, advisor, batches, hooks, compaction, and case facts. Includes code starters and a full answer key.

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