Learning Path · Module 25 · AI Builder
Agents prefer to communicate via MCP servers. But what exactly is an MCP server and how does it work at its core? Why can they solve complex problems across application boundaries and how do you control their workflows and orchestration through clever handoffs and boundaries of responsibility? Answers to these questions will be provided in this deep-dive training.
Who is this training for?
Interested parties who wish to acquire further competencies in this topic. Basic prior knowledge in human-centered methods and advanced knowledge in Prompt Engineering, Context Engineering, RAG, Knowledge Graphs, AI automation, and low-code are required.
Bring this format straight into your team - tailored to your tools, your roles and your context for human-centered AI.
Jeff Bezos once said: "Amazon must be an API-first company!" and implemented this vision more than successfully. But what is an API anyway, and how do you design or develop an API within your own corporate context? This training provides answers and is aimed at participants who want to make their solutions maximally usable for all colleagues, including software engineers and low-coders.
Although GenAI suites like OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, or others are becoming increasingly powerful, no single model ultimately solves the underlying problem reliably, cost-effectively, in compliance with data protection regulations, and deterministically. As always, it depends on the combination of the right tools at the right time; otherwise, only fragmented results or random products are produced that do not contribute to a common goal. The training teaches how to link complex AI toolchains along the development process for various problem statements using a low-code environment, enabling them to solve complex problems reproducibly and make them accessible to other colleagues or AI agents.
Every department has hundreds of different use cases that can be partially automated or qualitatively improved. However, many of these use cases require advanced skills in prompt engineering and low-code automation. This training is therefore aimed at participants who have already developed these skills and now wish to apply them effectively within their own departmental context.
So let's explore the possibilities for your digital product development together. We look forward to your inquiry.
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