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You can also change or select the dates in your learning environment after booking. Rebookings are free of charge up to 4 weeks before the start of the event; after that, the fees specified in Terms and conditions apply.
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implementation
No appointment is necessary for this examination.
You can take the exam at a time of your choosing in your learning environment.
This course includes self-study phases and live sessions. For the sake of clarity, only the live sessions are shown here.
This course takes place on site (partly optionally live online). Information about hotels and traveling by train can be found here.
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Munzinger Str. 9
79111 Freiburg
Course
Courses
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).
- Youunderstand thefundamentaldifference between workflows and real AI agents and make the right choice for your scenario.
- You will learn how tobuildgood prompts androbust contextso that agents can work reliably.
- You canconfidently classify the currenttool landscape(LangChain, Pinecone, n8n, Make, etc.).
- Youdevelopaproduction-ready agent (concept) including a business case and ROI calculation.
- Youwill experience firsthand how agents are built—from research to document chat (RAG).
- Youknow how to implement safety nets to avoid hallucinations and endless loops.
- You will receive ago-live checklist for governance, data protection, and security.
- You are ableto independently develop simple agents and integrate them into business processes.
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).
- You understand what distinguishes an AI agent from an assistant—and when true autonomy makes sense.
- You will learn how to make confident architectural decisions: RAG, tools, or webhooks—and when which combination is appropriate.
- You recognize which business problems are suitable for agents —and which are not.
- You are able to clearly define agent goals, success criteria, and control mechanisms.
- You understand how prompt composition, memory, and context engineering work together.
- You know how to set guardrails and avoid common pitfalls.
- You build a working agent prototype in n8n – with at least two external tool connections.
- You will learn how to orchestrate complex agents: incorporating planning steps, sub-tasks, and control questions.
- You systematically measure quality: accuracy, task success, and time savings become tangible for you.
- You make informed decisions about the right degree of autonomy.
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).
- 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.
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).
- Youunderstand why genuine agent-to-agent systems must be implemented programmatically.
- Youdevelop AI agents with Python, LangChain, and Claude Code.
- Youimplement coordinated teams of agents with clear roles and responsibilities.
- You are proficient incentral agent architectures such as planner-executor and supervisor models.
- You know howto test, control, and operate agentic systems in a stable manner.
- You candesign, evaluate, and further develop programmatic agent systems in a technically sound manner.
The prerequisite for taking the exam is successful participation in the four Master Class courses. We recommend attending all courses within a maximum of two years and taking the exam close to the last course attended.
The content of all four Master Class courses is relevant for the exam.As soon as you have booked the exam, you will see it in your learning environment.There is a tile with more detailed information about the exam, as well as a small mini-preview of the format of the e-exam with various sample questions.
The exam takes place online. It can be completed from the comfort of your own home or office within a set time frame. It consists of two parts:
- E-exam: 20 multiple-choice questions on the content of the four Master Class courses.
- Practical exam: Development of a practical example. Depending on the preparatory work in the four Master Class courses, approximately 3–4 hours should be planned for this task.
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