Prompt engineering becomes architectural when another system depends on the answer. A person can tolerate a response that varies in wording. An application that expects […]
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Anthropic CCA-F: Context and Reliability
Large context windows can make Claude systems feel simple: put the instructions, documents, tool definitions and conversation history into one request and let the model […]
Anthropic CCA-F: Architecture Tradeoffs
AI architecture is a sequence of tradeoffs, not a search for one universally correct pattern. A single model call may be cheaper and easier to […]
Anthropic CCA-F: Evaluation and Guardrails
Agentic systems need two things at the same time: evidence that they can complete the job, and boundaries that keep their behavior acceptable when the […]
Microsoft AI-103: Foundry Service Selection
Service selection is one of the most important AI-103 skills because Microsoft Foundry is not a single feature. It is a platform that brings together […]
Microsoft AI-103: RAG and Vector Search
Retrieval-augmented generation solves a practical problem: language models are powerful, but they do not automatically know an organization’s private data or the latest version of […]
Microsoft AI-103: Building Agents in Foundry
An agent is more than a chatbot with a longer prompt. It combines a model with instructions, state, tools, knowledge and a runtime that allows […]
Microsoft AI-103: Multi-Agent Orchestration
Multi-agent architecture is useful when a complex task can be decomposed into parts that benefit from different instructions, tools, context or execution timing. It is […]
Microsoft AI-103: Securing AI Workloads
AI workloads introduce familiar cloud-security requirements and several new ones. Identity, network isolation, secrets management and least privilege still matter, but generative applications also consume […]
Microsoft AI-103: AI Observability and Evaluation
Traditional application monitoring answers questions such as whether a service is available, how long requests take and how many errors occur. Generative AI systems add […]
Microsoft AI-103: Multimodal AI Workflows
Multimodal AI works across more than one kind of input or output: text, images, audio, video and documents. The engineering challenge is not simply selecting […]
Microsoft AI-103: Text and Speech Solutions
Text and speech workloads look familiar because they have existed in Azure AI for years, but AI-103 places them inside a newer application model. Language […]
Microsoft AI-103: Content Understanding
Content Understanding is designed for a common enterprise problem: information arrives in formats that are easy for people to inspect but difficult for software to […]
Microsoft AZ-104: Azure Policy and Governance
Azure governance becomes difficult when an environment grows beyond a few subscriptions and resource groups. Administrators are no longer making isolated configuration choices; they are […]
Microsoft AZ-104: Storage Access and SAS
Azure Storage security is a question of identity, network reach and the exact permissions a client needs. The AZ-104 exam expects administrators to move beyond […]