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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.

Dr. Melanie Peschmann
Unit Lead Training & Enablement

Public AWS Trainings – Upcoming Dates and APN AI Enablement 2026


As part of our APN AI Enablement 2026 campaign, we are once again offering subsidized AI training exclusively for AWS Partners.

These trainings help partner teams gain hands-on experience with Generative AI and agentic AI systems on AWS, and build practical implementation skills using current AWS services. The focus is on concrete architecture and development capabilities that are particularly relevant for AI projects, customer advisory work, and certification goals within the AWS partner ecosystem.

Register using the partner code APN-FREE-2026

Additional Open AWS Trainings:

Terraform Engineering

Date: 09.06. – 10.06.2026
Language: German

AWS Technical Essentials

Date: 15.06.2026
Language: German

Architecting on AWS

Date: 23.06. – 25.06.2026
Language: German

Enablement Focus of the Month


Why AI competency is becoming a core operational capability

Generative AI is currently evolving from an innovation topic into a core operational capability within organizations. More and more companies are recognizing that AI doesn’t just support individual processes — it fundamentally transforms ways of working, decision-making, and business models over the long term.

This is shifting the focus in many organizations. The central question is no longer whether AI will become relevant, but how teams can build the skills needed to deploy AI meaningfully, safely, and productively.

In the AWS ecosystem in particular, new opportunities are emerging to implement production-ready AI solutions faster. At the same time, however, demands are growing around architectural understanding, governance, security, and the ability to connect technical capabilities to tangible business value.

This is precisely why AI competency is increasingly becoming a core operational capability. Organizations need teams that not only understand AI technologies in theory, but can also evaluate, prioritize, and systematically implement real-world use cases.

Enablement lays the foundation for this. It bridges technical understanding, domain orientation, and practical qualification — creating a shared understanding of how AI can be applied effectively in a business context, and how initial ideas can be turned into robust solutions.

Training & Enablement


Why practical implementation skills are becoming critical right now

Many teams already have a foundational understanding of Generative AI and modern AWS AI services. The real challenge, however, often begins when it comes to putting that knowledge into practice.

Between theoretical knowledge and production-ready applications lies a critical gap: teams need to learn how to structure, integrate, secure, and operate AI solutions. This is often the point that determines whether AI initiatives become productive or remain confined to isolated experiments.

Practical implementation skills are therefore becoming increasingly important. Organizations need more than a high-level overview — they need concrete capabilities aligned with real project requirements, including:

  • Architecture decisions
  • Service selection
  • Security concepts
  • Observability
  • Governance
  • Production-oriented use of Large Language Models and Agentic AI

Modern AWS training programs provide an important foundation here. They help teams not only get acquainted with current AI services, but apply them purposefully to real-world use cases and make better-informed, production-oriented decisions.

Training imparts knowledge. Enablement ensures that knowledge is translated into concrete action. Only together do they create the capability to anchor AI initiatives in an organization in a sustainable and scalable way.

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