Microsoft AI-901: Computer Vision in Foundry
Computer vision in the current AI-901 blueprint is no longer limited to traditional image classification. Candidates need to understand visual input in…
Read articleCLOUD & 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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Microsoft AI-901: Text and Speech in Foundry
Text and speech remain foundational AI workloads even as generative and agentic systems receive more attention. AI-901 expects candidates to recognize language-analysis…
Read articleMicrosoft AI-901: Generative AI and Agents
Generative AI and agentic AI now sit at the center of AI-901. The current exam expects candidates to understand how generative models…
Read articleMicrosoft AI-901: Models and AI Workloads
AI-901 asks candidates to recognize what different AI models and workloads are good at before they learn how to assemble solutions in…
Read articleMicrosoft AI-901: Responsible AI Principles
AI-901 places responsible AI at the beginning of the conceptual domain because technical capability alone is not enough to build a trustworthy…
Read articleAmazon AWS AIP-C01: Troubleshooting GenAI Systems
Troubleshooting generative AI requires separating several kinds of failure that can look similar to users. A slow response may come from retrieval,…
Read articleAmazon AWS AIP-C01: Testing and Evaluation
Testing a generative AI application is fundamentally different from testing a deterministic API. The same prompt can produce several acceptable answers, and…
Read articleAmazon AWS AIP-C01: Cost and Performance Optimization
A production generative AI system has to be useful at a price and latency the business can sustain. The Amazon AWS AIP-C01…
Read articleAmazon AWS AIP-C01: AI Safety and Guardrails
AI safety in the Amazon AWS AIP-C01 exam is not a single moderation switch. Production generative AI systems need layered controls around…
Read articleAmazon AWS AIP-C01: Enterprise Integration Patterns
Generative AI rarely creates value as an isolated model endpoint. In a production system, the model sits inside a larger transaction path…
Read articleAmazon AWS AIP-C01: Agentic AI and Tool Use
Agentic AI appears in the Amazon AWS AIP-C01 exam because modern generative applications increasingly need to do more than generate text. An…
Read articleAmazon AWS AIP-C01: RAG and Knowledge Bases
Retrieval-augmented generation (RAG) is one of the most important production patterns for the Amazon AWS AIP-C01 exam. RAG gives a generative-AI application…
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