Course
digicode: H42654
Master Class AI Agent Specialist
Course facts
Download as PDF- Learning to confidently evaluate the difference between workflows and AI agents and choosing the right approach for your own company
- Building systems that not only assist with tasks but also perform them independently to increase operational efficiency
- Translating business requirements into functional agent architectures (low-code or code) and Vibe-coding applications with AI agents
- Understanding how multi-agent systems are structured, how tasks are delegated, and how complex processes are controlled by supervisor agents
- Gaining the tools to operate agents safely (safety nets, human-in-the-loop) and understanding the legal and ethical guidelines
The Master Class consists of the following four courses, which build on one another, as well as an exam:
1 From Concept to a Working AI Agent
- Making confident architecture decisions
- Advanced context engineering and designing prompts for agents
- Identifying the right business problem & developing a use case
- Building agents hands-on with n8n
- Orchestrating complex agents
- Measuring quality and ensuring scalability
2 Fundamentals of AI Agents
- Understanding and demystifying agents
- Tool landscape and technology stack
- Mindset: context engineering before prompt magic
- Identifying strategy, business value, and use cases
- Hands-on: building the agent’s “brain”
- Production readiness and governance
- Outlook and integration within the organization
3 Productive AI Agent Workflows with n8n
- An overview of agent architectures: from simple to structured
- Getting started with n8n and simple single-agent systems
- Enabling agents to act: tool use and context
- Decision agents and agentic orchestration
- Human-in-the-Loop and Governance
- Developing your own agent architectures
- Practical application and outlook
4 Programmatic AI Agent Systems with Claude Code and LangChain
- From low-code to code: why programmatic agents are necessary
- Getting started with Claude Code, Vibe Coding, and Python
- Implementing single agents programmatically with LangChain
- Agent-to-agent communication and role-based agents
- Structured multi-agent architectures
- Stable operation of agent-based systems
- Developing and evaluating your own multi-agent systems
5 Exam: Master Class AI Agent Specialist
- E-exam
- Practical exam
Consists of the following modules
- Fundamentals of AI Agents
- From Concept to a Functional AI Agent
- Productive AI Agent Workflows with n8n
- Programmatic AI Agent Systems with Claude Code and LangChain
- E-exam: Master Class AI Agent Specialist
Your training is designed as a varied, part-time learning journey. Live training sessions with experienced experts are combined with digital self-study modules, hands-on exercises, and interaction within the learning community. This allows you to flexibly build new knowledge, deepen your understanding together with others, and directly apply what you’ve learned to specific challenges in your day-to-day work. Practical coaching sessions help you apply what you’ve learned in a sustainable way within your company. Your learning journey lasts approximately four months.
With this training, you’ll become the central point of contact for intelligent AI agents and actively help shape your company’s hybrid workforce (humans & AI). You’ll learn to design, build, implement, and shape AI solutions by bridging the gap between operational business requirements and technological feasibility. You’ll gain an understanding of how to safely integrate AI agents into companies and determine their ROI.
- Technically skilled process managers & automation experts
- Technically skilled product owners & digital project managers
- Innovation managers & data professionals
- Technical specialists and executives aiming to take AI integration to the next level
This training 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 right place for you.
What you’ll bring to the table:
- A basic technical understanding and a sense of curiosity – you don’t need any programming skills, but you do need a willingness to learn your way around tools and code
- Hands-on experience with automation tools like make or n8n – or the discipline to teach yourself the basics using the provided materials before the course begins
- A 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 to take initiative – not as a duty, but as a source of motivation
Technical requirements for all four courses:
- Computer or laptop with an up-to-date operating system (Windows, macOS, or Linux)
- Stable internet connection and an up-to-date web browser (Chrome, Edge, or Firefox)
- Access to web-based tools. No prior installations required. You’ll be working with free freemium web versions
- Access to a large language model, e.g., Claude by Anthropic
- Willingness to complete the technical setup before the course begins
- For courses 2, 3, and 4, there are additional tool costs on top of the participation fee (details below)
Course 1:
- No prior installation required. You’ll work exclusively with free freemium web versions.
- If using Anthropic: API key (pay-as-you-go via credit card; approx. 5 - 10 € for the course)
Courses 2 & 3:
- Current n8n Cloud account (free 14-day trial, then Starter plan approx. 20 €/month)
- Anthropic API key (pay-as-you-go via credit card; approx. 20 € for the course)
- Optional: Google account (Gmail/Calendar) for bonus exercises
Course 4:
- Claude subscription for Claude Code (Pro ~$20/month or Max ~$100/month)
- Anthropic API key (additional, pay-as-you-go, approx. €20 course cost)
- Local computer with admin rights and at least 8 GB of RAM
- An interest in programming is enough – no prior knowledge is required
In the first webinar of each series, we'll work with you to check your technical setup, and you'll receive help with errors and common access issues.
No date selection is required for this exam. You can take the exam at a time of your choosing in your learning environment. It consists of two parts:
E-exam: 20 multiple-choice questions covering the material from the four Master Class courses.
Practical exam: Development of a practical example. Depending on the preparatory work completed in the four Master Class courses, you should plan on spending approximately 3–4 hours on this.
We recommend booking at least 14 days before the seminar date so that you can receive any documents by post in good time.