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From cloud-first to AI-Native - the certification Shift

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 For a long time, the focus was clear: infrastructure, development, data, security and DevOps. AI was there, but more as an extra topic. Now this is changing. AI is becoming part of normal delivery, and as a result, the certifications that matter are also changing. This is not only about learning a new technology. It is about showing that our teams can design, build and deliver AI-native solutions in a real project environment.

The most relevant AI certifications now are:
AWS
  • AWS Certified AI Practitioner
  • AWS Certified Machine Learning Engineer – Associate
  • AWS Certified Generative AI Developer – Professional
Microsoft Azure
  • Microsoft Certified: Agentic AI Business Solutions Architect
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure AI Fundamentals
GitHub
  • GitHub Copilot Certification
AWS is making this shift in a practical way. An AI Practitioner helps create broad AI literacy. A Machine Learning Engineer – Associate brings more engineering depth. Generative AI Developer – Professional is especially relevant because it is consistent with what customers are asking for now: real GenAI solutions, not just experiments.
Microsoft is also showing a clear direction. One important signal is that the Azure AI Engineer Associate is being retired. This is relevant because it shows that Microsoft is moving away from the old single-path AI engineering model and more toward agentic AI, business solutions, and practical AI application skills. In simple words, the market is moving from “knowing AI” to “using AI in delivery.”
GitHub Copilot is also part of this shift. I see it less like a simple certification and more like a sign of how software engineering is changing. AI is now helping teams write code faster, explore options quicker, and improve productivity in day-to-day work. For this reason, GitHub Copilot is becoming relevant not only for developers as well as for DevOps and technical leads.
If I look at certification paths by role, I would think about them like this:
  • Development: AI Practitioner : Generative AI Developer – Professional
  • DevOps: AI Practitioner : Machine Learning Engineer – Associate : GitHub Copilot
  • Infrastructure: AI Fundamentals : core cloud infrastructure certifications
    Architecture: Generative AI Developer – Professional : Agentic AI Business Solutions Architect
For me, the big message is simple: this is the year when certifications start moving from cloud-first to AI-native. The teams which adapt faster will be in a better position, both for presales and for delivery.

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