CLOUD & ARTIFICIAL INTELLIGENCE

Cloud & AI

Understand cloud architecture, Amazon AWS, Microsoft Azure, Google Cloud and emerging AI applications.

Cloud computing is a set of engineering decisions, not just a list of products to memorize. Choosing an architecture means understanding resilience, identity, networks, costs and the operational trade-offs behind managed services. Artificial intelligence makes those decisions more consequential: evaluation, context, reliability and security matter at least as much as model choice.

For candidates, Amazon AWS provides a broad set of certification tracks, including AWS Solutions Architect – Associate (SAA-C03). Microsoft Azure Administrator (AZ-104) emphasizes operational responsibilities, while Azure AI Fundamentals (AI-901) focuses on implementing AI solutions with Microsoft Foundry. Explore the concepts first, then examine the qualification that actually matches the work you intend to do.

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Carefully selected articles on the technologies, roles and concepts that shape this subject.

TECHNOLOGY & CERTIFICATIONS

Azure Route Tables and UDRs

Azure virtual networks include system routes automatically, but production designs often need more control than the default path provides. User-defined routes, usually…

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TECHNOLOGY & CERTIFICATIONS

Microsoft AI-901: Content Understanding

Content Understanding is Microsoft Foundry’s information-extraction capability for turning unstructured material into structured results. For AI-901, the important idea is not memorizing…

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