Productive AI agent workflows with n8n
From classic automation to agentic systems with artificial intelligence
Did you know?
This course is part of the certified "AI Agent Specialist" Master Class. Whenyou enroll in the entire Master Class,you’ll save 22 percent compared to enrolling in the individual modules.
- Tool vs. AI assistant vs. workflow vs. agent
- Single-agent architecture as an entry point
- Overview of decision agents and decision-based orchestration (supervisor logic)
- Overview of n8n and AI Agent Node
Implement single-agent systems
- n8n basic logic and data flow
- Setting up a simple single-agent system
- First agentic decisions without tool use
- Exercise: Setting up your own single-agent workflow
Agents with tool use and memory
- Agents with external tools
- Memory and state logic
- Decision agents for path control
- Exercise: Extending the agent with tool use and context
- Simple agents vs. agent orchestration
- Delegation of tasks to specialized sub-processes
- Human-in-the-loop as a governance element
- Live demo of a Smart Inbox agent
Develop your own agent architecture
- Selection of a use case
- Definition of agent goals, roles, and control points
- Implementation of an orchestrated agent workflow
Quality, testing, and control
- Error handling and fallback strategies
- Test cases for agentic systems
- Human-in-the-loop and approval processes
- Presentation of proprietary agent architectures
- Analysis of the selected architectures
- Best practices and outlook for programmatic agent systems
Contents and course schedule
1. Overview of agent architectures: From simple to structured
- The difference between a tool, an AI assistant, a workflow, and an agent.
- Why Large Language Models Enable Agent-Based Systems.
- Overview of key agent architectures in an enterprise context: single-agent, decision-making agent, decision-based orchestration (supervisor logic), human-in-the-loop.
2. Introduction to n8n and simple single-agent systems
- The basic logic of n8n: triggers, nodes, and data flow.
- Setting up a single-agent system using the AI Agent Node.
- Initial agent-based decisions based on voice input.
3. Empowering agents: Tool use and context
- Integration of external tools and data sources into agents.
- Agents with memory and state logic.
- Agent-based decision-making logic for controlling subsequent processes.
4. Decision agents and agentic orchestration
- Decision agents as a bridge between agents and workflows.
- Supervisor logic for delegating tasks to specialized subprocesses.
- A conceptual introduction to role-based agent systems.
5. Human-in-the-loop and governance
- Human checkpoints as an integral part of agent-based systems.
- The Limits of Autonomous Agents in a Corporate Context.
- Traceability, accountability, and quality assurance.
6. Develop your own agent architectures
- Systematic selection of a use case.
- Defining agent objectives, roles, and checkpoints.
- Implementation of a custom agent workflow in n8n.
7. Transfer to practice and outlook
- Presentation and analysis of our own agent solutions.
- Classification of the selected agent architecture.
- Distinction from programmatic agent systems.
This is how you learn in this course
This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning Community:A digital learning community will be available to you throughoutthe course. trainers with other participants and the trainers , and ask any questions you may have.
Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).
Your benefit
- You understand the central agent architectures for enterprise use.
- You will learn how to implement simple and structured AI agents with n8n.
- You can distinguish between and apply single-agent architectures and decision-based orchestration (supervisor logic).
- You integrate tools, context, and human checkpoints into agentic workflows.
- You develop your own functional AI agent for a real-world application.
- You recognize the limits of automation and use agents responsibly.
- You are ableto evaluate and further develop agentic systems in a technically sound manner.
Technical Requirements & Prerequisites
This course is right for you if you want to build AI agents yourself. You'll build, test, fail, and solve problems. If you just want to see how finished agents work, this isn't the course for you.
What You'll Bring to the Table
- A basic understanding of technology and a sense of curiosity—you don’t need any programming skills, but you do need a willingness to learn how to use tools and code
- Practical experience with automation tools such as make or n8n—or the discipline to teach yourself the basics using the provided materials before the course begins
- Practical Understanding of Digital Business Processes and Data Flows
- Your own data (real or synthetic) that you can use to train and test your agents
- A desire for personal responsibility—not as a duty, but as a driving force
Technical requirements
- Computer or laptop with a current operating system (Windows, macOS, or Linux)
- A stable internet connection and a recent web browser (Chrome, Edge, or Firefox)
- Access to Web-Based Tools
In addition to the participation fee, there are additional tool costs.
- n8n Cloud account (free 14-day trial, then Starter plan approx. 20 € / month) — or self-hosted via Docker (free)
- Access to a large language model, such as Claude from Anthropic
- Anthropic API key (pay-as-you-go via credit card; approximately 20 € in usage)
Tools
Recommended for
With this training program, you’ll become the go-to person for intelligent AI agents and play an active role in shaping your company’s hybrid workforce (humans & AI). You want to understand how to build AI agents, integrate them securely into your company, and determine their ROI.
- Technically savvy process managers automation experts
- Technically Savvy Product Owners & Digital Project Managers
- innovation managers data professionals
- Technical specialists and managers seeking to take AI integration to the next level
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Design, develop, and control production-ready AI agents – with the "AI Agent Specialist" master class
Start dates and details
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Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
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