Appendices
Portfolio Project Index
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
Portfolio Project Index
Portfolio Project Index
Coming soon.
Diagram Index
Recommended Reading