In this Post, we share the table of contents and a few excerpts from the fifth chapter of the lecture notes of a medium-barrier, high-relevance corporate training we developed for an internationally active company. The program was built around four methodological pillars.
The first:
The goal is to make participants job-ready, able to collaborate across teams, speak the language of operations, and deploy solutions in an industrial setting. It’s more internship than lecture hall – and it’s a smarter way to build lasting skills and knowledge you truly remember.
The second:
We challenge outdated university methods and leverage more efficient, application-driven, AI-assisted learning, tailored to the real needs of employees and employers. This means that we fully embrace the AI-driven paradigm shift, equipping participants with the foundational knowledge to grow independently – alongside AI assistants.
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