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AWS Training News

Together with the training team at tecRacer, we support companies in using AWS training effectively and purposefully.

If you have any questions or specific needs, please feel free to contact me.

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Dr. Melanie Peschmann
Unit Lead Training & Enablement

Public AWS Trainings – Upcoming Dates

Funded AWS AI training programs for APN partners with clear business impact

As part of our APN AI Enablement 2026 campaign, we are offering exclusive sponsored AI trainings for AWS Partners. Participating partners incur no training costs.

On April 8th, the Agentic AI Foundations training will take place. This course provides a practical introduction to agentic AI systems on AWS. Attendance is limited to 30 participants.

Register using the partner code: APN-FREE-2026

Book now (German course)

Additional Open AWS Trainings:

AWS Cloud Practitioner Essentials

Date: April 13
Language: German

Secure your seat now!

Developing
on AWS


Date: May 4 – 6
Language: German

Secure your seat now!

AWS Technical Essentials

Date: May 18
Language: German

Secure your seat now!

Enablement Focus of the Month

Why Many AI Initiatives Stall in Companies

Many companies are currently launching AI initiatives. Yet, surprisingly many of these initiatives never progress beyond initial experiments.

Ideas emerge quickly. Workshops are held. Early proof-of-concepts are created. Still, many organizations struggle to develop these into stable, productive solutions.

The reason rarely lies in technology. Today, AWS offers a broad range of powerful AI services and generative AI capabilities. The real challenge is identifying, among many possible ideas, those that are technically feasible, business-relevant, and economically viable.

This is often where a gap appears. Business units see concrete use cases. IT teams assess technical possibilities. Without a shared understanding of how AI projects should be structured and developed, initiatives often stall at the concept stage.

Enablement helps close this gap. Teams build a shared understanding of AI technologies, learn to identify realistic use cases, and gain guidance on how to turn ideas into actionable projects.

Organizations that consciously take this step create an essential foundation. AI is not just discussed—it is gradually transformed into real-world applications.

Training & Enablement

Why Training Often Becomes the Turning Point for AI Projects

When AI initiatives stall, it is rarely due to a lack of motivation or ideas. In many cases, what is missing is a shared foundation to properly assess ideas technically and define realistic implementation steps.

This is where training can make a decisive difference. Well-designed trainings do more than teach individual AWS services—they demonstrate how AI solutions are built in practice. Participants learn common architectural approaches, understand the role of data, and develop a sense of which use cases are realistically achievable.

This often shifts perspectives within the organization. Teams are better able to evaluate AI ideas, set clear priorities, and develop initial solutions in a more structured way.

The impact is especially strong when training is part of a broader enablement strategy. In this context, a shared understanding emerges between business units, IT, and decision-makers. AI is no longer seen as an isolated experiment but as an integral part of real projects and business processes.

In this way, training becomes the starting point for tangible initiatives. Initial ideas evolve into structured solutions, experiments become prototypes, and knowledge turns into action.

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