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Further information
Dr. Melanie Peschmann
Unit Lead Training & Enablement
Public AWS Trainings – Upcoming Dates
Production-ready AI solutions don’t emerge in isolation. They require a solid understanding of the AWS platform, sound architectural decisions, and teams capable of building applications that are secure and scalable.
Our open training sessions in July therefore combine AI-specific knowledge with the cloud fundamentals that matter most in real-world projects.
Additional Open AWS Trainings:
From One-Off Training to a Skills System — How Learning Paths Create Lasting Impact
Individual training sessions can provide valuable impulses. For complex cloud and AI initiatives, however, isolated knowledge is rarely enough. Teams need progressive learning steps that build on one another, leading from a shared foundation through to practical application.
An effective learning path starts with a clear target picture: what capabilities are needed for specific roles and initiatives? This is followed by appropriate foundational content, deeper architecture or development training, and AI-specific specializations. Hands-on labs, workshops, and on-the-job application then ensure that knowledge translates into confident action.
This structure allows organizations to plan upskilling more deliberately. Learning content builds on itself, varying levels of prior knowledge are taken into account, and training is directly linked to real-world tasks. At the same time, it becomes clear where capabilities already exist and where further development is needed.
Training provides the building blocks. Enablement connects them into an integrated system for learning and application. In this way, competence is not only developed in individuals, but anchored step by step within the team and the broader organization.
