Domain 4: Prompt Engineering & Structured Output — Getting Claude to Say Exactly What You Need

Conclusion: Final Recap, Exam Strategy & How to Actually Pass This Thing

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 - bobby@nolimitz.io -

Domain 5: Context Management & Reliability — Keeping Claude Grounded Over Long Tasks

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.

Domain 4: Prompt Engineering & Structured Output — Getting Claude to Say Exactly What You Need

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.

Domain 3B: Claude Code for CI/CD — Automating Code Review at Scale

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.

Domain 3A: Claude Code Configuration & Workflows — Setting Up Your AI Dev Environment

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.