The series closer. Recaps every domain and scenario with a tight, exam-ready summary. Covers test-taking strategy specific to the Anthropic Claude certification — how to approach scenario-based questions, how to weight your study time by domain percentage, common traps, and what to do in the final 48 hours. Closes with a reflection on the joy of building and learning — and a challenge to listeners to build something with Claude before they sit the exam. we also want to include a personal message from bobby directly to the listener.. expressing thanks for sticking through to the end... asking for their feedback at his email - [email protected] -

The final domain episode (15%) tackles one of the hardest problems in agentic AI: maintaining coherence, accuracy, and safety as context grows. Covers context window management, memory strategies, hallucination mitigation, graceful degradation, and knowing when to escalate vs. proceed autonomously. Weaves together the Customer Support Agent (escalation logic) and the Research System (long multi-step tasks) as dual examples.

Covers the craft of prompting for production systems — system prompt design, few-shot examples, chain-of-thought, output formatting, and JSON schema validation. The Structured Data Extraction scenario is the anchor: building a pipeline that pulls structured data from unstructured documents, validates with JSON schemas, and handles edge cases gracefully for downstream system integration.

Second episode on Domain 3, focusing on the operational and pipeline side. How to integrate Claude Code into CI/CD — automated code reviews, test case generation, PR feedback — and how to design for minimal false positives. Bridges into Domain 4 because prompt engineering is central to making CI/CD automation trustworthy and actionable.

First of two episodes on Domain 3 (20%). Focuses on CLAUDE.md configuration, custom slash commands, workspace setup, and how to think about Claude Code as a configurable dev teammate rather than a chatbot. Uses the Code Generation scenario — helping a team adopt Claude Code for code gen, refactoring, debugging, and documentation.

Covers the full tool design lifecycle: when to use built-in tools vs. custom MCP tools, how to design clean tool schemas, error handling, and trust boundaries. The Customer Support Resolution Agent scenario brings it to life — wiring up get_customer, lookup_order, process_refund, and escalate_to_human as MCP tools and designing for 80%+ first-contact resolution.

A deep dive into the highest-weighted domain on the exam (27%). Covers how agentic systems are structured, how orchestrators delegate to subagents, how to manage agent loops, and when to use single-agent vs. multi-agent patterns. Uses the Multi-Agent Research System scenario as the primary teaching vehicle — a coordinator agent delegating to a web search agent, document analysis agent, synthesis agent, and report generation agent.

The host shares the origin story of this podcast — a personal project to prepare for the Anthropic Claude certification exam. This episode explains the full testing framework (5 domains, 6 scenarios), what listeners can expect across the series, and how Claude was used not just as a study tool but as the engine behind building the podcast studio itself. Sets the tone: learning by doing, building in public, and the joy of going deep on agentic AI.