
AI agents are quick to build, but rarely ready for production and capable of adding value. This training course shows you how to design, develop, and control autonomous AI systems that function reliably in everyday business and deliver real added value.

In this training course, you will develop value-adding AI agents: from architecture and context engineering to RAG and (multi-)agent orchestration. Combine low-code (n8n) and programmatic frameworks (Claude Code, Python, LangChain, Lovable) to understand the theoretical concepts and build real, reliable agents.
You will systematically expand classic automations to agentic architectures: from single agents with tool use to decision-based orchestration to multi-level agent systems with human-in-the-loop. The goal is to automate real business processes securely, in a controlled and responsible manner with AI agents.
No programming knowledge is required to participate, but a keen interest in learning is an advantage.
There are technical requirements for this training course. Please check these to ensure you have everything ready before the course starts.
Our flexibility guarantee
Youcan choose the start dates of the courses flexibly. We recommend taking the courses in the order given. You can select the dates in the shopping cart or after booking. Changes to bookings are possible free of charge up to 4 weeks before the start of the course, after that the fees according to the Terms and conditions apply.
Booking no:
42631
This course teaches the fundamental skills for designing, planning, developing, and controlling intelligent AI agents. You will gain a practical overview of AI architectures, prompt engineering, and (multi-)agent orchestration. Understand, use, and test AI agents independently, and discuss experts requirements for AI agents with experts .
Booking no:
42649
Develop your own AI agent with real business value—from problem definition and architecture to a working prototype in n8n. You will learn when RAG, tools, or webhooks are useful, how to define success criteria, and how to measure quality. At the end of the course, you will pitch your agent and receive feedback.
Booking no:
42635
Agents are not just better workflows—they are architectures with decision-making, responsibility, and control. This course teaches how AI agents can be implemented with n8n in a practical and production-oriented manner. You will learn how to systematically expand classic workflows to include agent-based architectures – from simple single agents with tool use to decision-based orchestration logic to controlled agent systems with human control points. The goal is to automate real business processes with AI agents in a traceable, controlled, and responsible manner.
Booking no:
42653
This course delves deeper into the structure of AI-based agent systems at the code level. You will develop your own agents using Python, LangChain, and Claude Code, learn how to systematically implement agentic architectures, and understand the differences between these and low-code approaches such as n8n. The focus is on vibe coding, control, extensibility, and the stable operation of agentic systems in a corporate context.
Booking no:
42633
Learning is only successful when theory can be transferred into practice. That is why the Master Class AI Agent Specialist exam is designed with this in mind. The exam consists of an e-exam with 20 multiple-choice questions and a practical exam, for which you will develop a practical example at the end of the Master Class. Both parts can be completed flexibly on your own computer at a time of your choosing.
In all four courses:
Course 1:
Course 2 & 3:
Course 4:
You've come to the right place if you...
The technical basics will be reviewed together in the first webinar. If necessary, you will receive tips on troubleshooting and typical access problems.
To help you find the training program that suits you best, we offer the Future Jobs Class in three different formats. In addition to the courses, the Master Class includes personal 1:1 coaching with the trainers, a final exam, and certification as a Certified AI Agent Specialist.
€ 2.690,-
€ 3.850,-
€ 4.990,-
* All prices are subject to 19% VAT. Master Class: €5,938.10 incl. VAT instead of €8,092.00 incl. VAT, Professional Class: €4,581.50 incl. VAT instead of €5,378.80 incl. VAT, Junior Class: €3,201.10 incl. VAT instead of €3,486.70 incl. VAT.
1 Unlimited membership of the Haufe Akademie Future Jobs Club Haufe Akademie exclusive information and offers. Participation is via Microsoft Teams and can be revoked at any time.
2 Unlimited access to selected e-learning courses from the Haufe Akademie program for a period of twelve months from the date of booking the class.
3 Two one-hour personal practical coaching sessions with selected trainers . The coaching sessions take place online and can be booked from the start of the first course until three months after completing the exam.
Please note: We use third-party tools for selected events. Participants' personal data will be passed on to them in order to carry out the training program. Further information can be found in our privacy policy. If Miro is used, you can voluntarily register with Miro for extended functionality and thus an optimal learning experience. You can find information on data processing in Miro's privacy policy. If ChatGPT is used, please refer to the OpenAI privacy policy.
Access time to all learning content1
Language
We will be happy to answer your questions in a personal consultation or by e-mail via our contact form.
Do you have any questions about the content or the learning concept? Patrizia Schwarzer, product manager for this continuing education program, will be happy to answer your questions in a personal, no-obligation consultation. Simply select a convenient date and time, and the consultation will take place online via MS Teams. We look forward to talking with you.


With this training, you will become the central point of contact for intelligent AI agents and actively help shape your company's hybrid workforce (humans & AI). Would you like to implement and design AI solutions by bridging the gap between operational business requirements and technological feasibility? Would you like to understand how to securely integrate AI agents into companies and determine their ROI? Then you've come to the right place.

What is the best way for companies to prepare for the future? The Future Jobs Classes qualify teams, departments or entire organizations for the jobs and skills of the future. Find the right solution for your organization.