AI Workflow Architect
Simply using ChatGPT and classic prompt engineering is no longer enough for future-proof business processes. The market demands experts who don't just generate text, but build intelligent, autonomous systems. In the "AI Workflow Architect" class, you will learn to bridge the crucial gap between rigid IT structures and dynamic business departments. We equip you with the strategic mindset and technical tools to evolve from a simple scripter into a strategic systems thinker. You will learn how to visually plan processes, fully leverage the potential of probabilistic AI agents, and translate them into robust, compliant workflows using tools like n8n. Build systems that do the work while you sleep.
Learning Objectives: In this class, you will learn how to:
Strategically define the role of the AI Workflow Architect, bridge the gap between IT and business units, and distinguish yourself from pure prompt engineering roles through true architectural expertise.
Break down complex business processes using decomposition techniques and translate them into visual BPMN blueprints using diagramming tools (like Excalidraw or Miro).
Evaluate the architecture of automation solutions and differentiate between deterministic workflows (the "train") and probabilistic AI agents (the "taxi") depending on the situation.
Master the leading open-source platform n8n from the ground up in a guided hands-on lab, navigating the user interface and securely translating visual diagrams into technical nodes and logic modules.
Utilize advanced strategies to equip AI models with long-term memory (stateful) and securely anchor them with company-specific knowledge using RAG (Retrieval-Augmented Generation) and context injection.
Control data flows, read and write JSON structures, and orchestrate multi-agent systems where specialized AI roles collaborate effectively.
Develop robust and compliant systems that ensure professional enterprise deployment through error handling (Guardrails), Human-in-the-Loop (HITL) concepts, and strict data privacy compliance (e.g., GDPR Art. 22).