Productive AI agent workflows with n8n
From classic automation to agentic systems with artificial intelligence
- 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
- Difference between tool, AI assistant, workflow, and agent
- Why large language models enable agentic systems
- Overview of central agent architectures in a corporate context: single agent, decision agent, decision-based orchestration (supervisor logic), human-in-the-loop
2. Introduction to n8n and simple single-agent systems
- Basic logic of n8n: triggers, nodes, and data flow
- Building a single-agent system with the AI agent node
- Initial agent 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
- Agentic decision logic for controlling subsequent processes
4. Decision agents and agentic orchestration
- Decision agents as a bridge between agent and workflow
- Supervisor logic for delegating tasks to specialized subprocesses
- Conceptual introduction to role-based agent systems
5. Human-in-the-loop and governance
- Human checkpoints as an integral part of agentic systems
- Limits of autonomous agents in a corporate context
- Traceability, responsibility, and quality assurance
6. Develop your own agent architectures
- Systematic selection of an application case
- Definition of agent objectives, roles, and control points
- Implementation of a custom agent workflow in n8n
7. Transfer to practice and outlook
- Presentation and analysis of proprietary agent solutions
- Classification of the selected agent architecture
- Differentiation from programmatic agent systems
This is how you learn in this course
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
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 is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.
Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including 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
The technical equipment has been deliberately chosen to ensure that the course is easily accessible to participants from specialist departments.
Required technical specifications:
- Computer or laptop with a current operating system (Windows, macOS, or Linux)
- Stable internet connection
- Current web browser (e.g., Chrome, Edge, or Firefox)
- Ability to access web-based tools (no local installations required)
Required access/accounts:
- n8n access:
- Preferred: n8n Cloud Account
- alternatively: Access to a provided n8n instance
- Access to a large language model (LLM), e.g., OpenAI or Claude
- API access or login details provided in the course
- Access to the MS Teams learning community for this course for discussion, questions, and supporting materials
Recommended (not mandatory) prior knowledge
- Basic understanding of digital business processes
- Previous experience with automation or workflow tools is helpful but not essential.
- Openness to exploring new AI-supported ways of working
What is not required
- programming skills
- local software installations
- Administrator rights on your own computer
Technical preparation before the course starts:
- Registration or provision of n8n access
- Set up LLM access (API key) if not provided centrally
- Quick function test: Log in to n8n and open the interface in your browser.
Note:
In the first webinar, we will review the technical basics together. If necessary, we will provide tips on troubleshooting and typical access problems.
Tools
Recommended for
This training course is suitable for anyone who wants to understand how to safely integrate AI agents into companies and determine their ROI. You will build a bridge between operational business requirements and technological feasibility.
- Technically savvy process managers automation experts
- Product Owner & Digital Project Managers
- Software Engineers & Technical Leads
- innovation managers data professionals
- Professionals aiming for the next level of AI integration
Start dates and details
About us - The Haufe Akademie
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Whether on site, live online or in-house - our customised solutions, our claim to the highest level of consulting expertise and training tailored to your needs simplify the acquisition of skills for the working world of the future and sustainably facilitate professional development.
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Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
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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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