Appendices
Final Encouragement
Automation Engineer Mastery
Automation Engineer Mastery
Front Matter
Dedication
Preface
Learning Philosophy
How to Use This Book
Curriculum Roadmap
PART I — AI Automation
Part I AI Automation
Chapter 1.0 — Introduction: From APIs to AI Systems
Chapter 1.1 AI in Business Operations
Chapter 1.2 Prompt Engineering for Systems
Chapter 1.3 AI API Integration
Chapter 1.4 AI-Powered Workflow Design
Chapter 1.5 AI Reliability and Control Patterns
Chapter 1.6 AI Automation Projects
Chapter 1.7 Transition to AI-Powered CRM Systems
Chapter 1.8 Capstone Project
PART II — CRM & Revenue Systems
Part II CRM & Revenue Systems
Chapter 2.1 System Context: Revenue Systems
Chapter 2.2 Progressive Problem Expansion
Chapter 2.3 CRM System Architecture: Layered Mapping
Chapter 2.4 State Management: Lead Lifecycle Control
Chapter 2.5 Lead Scoring System: Hybrid Rules + AI
Chapter 2.6 Follow-up and Timing Systems
Chapter 2.7 Campaign State Management, Communication Governance, and Customer Journey Control
Chapter 2.8 CRM Integration: System Connection Layer
Chapter 2.9 Class Experiment: Revenue System Analysis
Chapter 2.10 Lab: CRM System Implementation (n8n)
Chapter 2.11 Revenue System Design Lab
Chapter 2.12 Business Positioning
Chapter 2.13 Capstone Project
PART III — AI Systems Engineering
Part III AI Systems Engineering
Chapter 3.0 From CRM Platforms to AI Systems Engineering
Chapter 3.1 Multi-Context AI Systems
Chapter 3.2 AI Data Pipelines
Chapter 3.3 Multi-Agent Architecture
Chapter 3.4 Event-Driven AI Systems
Chapter 3.5 AI Observability and Monitoring
Chapter 3.6 Advanced Governance and State Management
Chapter 3.7 AI Testing and Evaluation
Chapter 3.8 Production AI Systems and Synthesis
Chapter 3 Capstone Project
Appendices
Glossary
Diagram Index
Portfolio Project Index
Recommended Reading
Future Roadmap
Capstone Catalog
Final Encouragement
References
Appendices
Final Encouragement
Final Encouragement
Coming soon.
Capstone Catalog
References