Microsoft AI-200: Designing the AI Backend
The difficult part of an AI application is often everything around the model. A prototype that accepts a question, makes one call…
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 AZ-900: Where Azure Costs Really Come From
A cloud invoice can be perfectly accurate and still surprise everyone who receives it. The Microsoft AZ-900 exam treats pricing as part…
Read articleMicrosoft AZ-900: Governing Azure Without Guesswork
Cloud governance becomes difficult the moment a team can create resources faster than someone can check them. For the Microsoft AZ-900 exam,…
Read articleMicrosoft AZ-900: Making Sense of Azure Services
Azure offers many service names, but foundational architecture becomes manageable when each service is connected to a problem. A business needs somewhere…
Read articleMicrosoft AZ-900: Cloud Concepts Through Real Decisions
Cloud computing becomes easier to understand when the discussion starts with a business decision rather than an acronym. A company wants to…
Read articleAmazon Bedrock Agents: Tools, Control and the AgentCore Shift
An agent becomes useful when it can do more than describe what a human should do. It might look up an order,…
Read articleAmazon Q, Quick and Bedrock: Choosing the Right AI Layer
The most expensive mistake in an enterprise AI program is often choosing a platform before deciding what the application must do. A…
Read articleMulti-Agent Handoffs: Make Ownership Explicit
A customer support request starts with a general assistant, moves to a billing specialist and then reaches a fraud specialist. The specialists…
Read articleGoverning Microsoft 365 Copilot Starts with the Data
A company deploys Microsoft 365 Copilot and celebrates faster answers to questions about internal projects. A week later, an employee receives a…
Read articleMCP in Microsoft Agent Solutions: Tools Need Boundaries
A company adds a remote Model Context Protocol (MCP) server to its Microsoft Foundry agent. Within minutes, the agent can look up…
Read articleRAG in Microsoft Foundry: Design the Retrieval Before the Answer
Consider an engineering assistant asked whether a software release can proceed under a company’s change policy. The policy library contains the current…
Read articleEvaluating Microsoft Foundry Agents Beyond Answer Quality
A support agent can produce beautifully written explanations and still fail its task. It may choose the wrong knowledge article, call the…
Read articleFURTHER EXPLORATION
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