This book provides a practical pathway for building the decision-making intelligence that increasingly sits at the heart of modern mechatronic and cyber-physical systems, in which language models act as reasoning engines, RAG grounds their decisions in trusted knowledge, and agentic orchestration turns those decisions into action. A distinctive feature of the volume is that every solution is implemented on the low-code and no-code n8n platform, making advanced automation accessible to engineers and researchers without requiring extensive programming. By lowering this barrier, the book shows how organizations and individuals can automate complex workflows, support data-driven decision-making, and develop adaptive, self-improving systems that accelerate the digital transformation associated with Industry 4.0 and Industry 5.0.

Dr. Aydin Azizi holds a Ph.D. in mechanical engineering–mechatronics, an M.Sc. in mechatronics, and a B.Sc. in mechanical engineering. Certified as Fellow of the Higher Education Academy, Official Instructor for the Siemens Mechatronic Certification Program (SMSCP), and Editor-in-Chief of the book series Emerging Trends in Mechatronics published by Springer Nature Group, he currently serves as Senior Lecturer and Academic Partnership Liaison Manager at Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems, with expertise in control and automation, AI, and simulation techniques.