Microsoft AI-103: Foundry Projects, Security, and Deployment
Design and operate Microsoft Foundry projects with appropriate identity, deployment capacity, monitoring, retrieval boundaries, and controlled releases for AI-103.
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Microsoft AI-103: A Practical Azure AI Study Plan
A practical AI-103 preparation plan for Microsoft Foundry projects, grounded search, agent tools, multimodal workflows, and real-world engineering evaluation.
Read articleMicrosoft AI-103: Designing a Reliable Foundry Agent
A practical Microsoft Foundry architecture for trustworthy AI agents, with secure retrieval, bounded tool contracts, approval state, source provenance, and failure-aware release engineering.
Read articleAnthropic CCAR-F: CCA-F and CCAR-F Are One Claude Architect Exam
Understand why Exam-Topics lists CCA-F while Anthropic's current Architect Foundations exam guide uses CCAR-F; distinguish Associate, Developer and Professional.
Read articleAnthropic CCAR-F: Claude Multi-Agent Research: Cited Reports and Handoffs
Design evidence-led multi-agent Claude research: coordinator, searcher, analyst and writer contracts, source ledgers, uncertainty and reproducible reports.
Read articleAnthropic CCAR-F: Claude Validation Loops and Risk-Based Human Review
Set explicit Claude criteria, validate semantics, propagate partial agent failures and calibrate human review using observed risks.
Read articleAnthropic CCAR-F: Claude Code Path Rules, Codebase Exploration, and Iteration
Use Claude Code path-scoped rules and a verified exploration trail to refine changes without losing context, test evidence, or permissions.
Read articleAnthropic CCAR-F: Claude Task Decomposition and Built-In Tool Boundaries
Decompose Claude agent tasks into safe, evidence-led workflows and select built-in, client and server tools by authority and execution boundary.
Read articleAnthropic CCAR-F: Claude Architecture Lab: Build a Bounded Support Agent End to End
Design a testable Claude support agent with tools, safe delegation, policy gates, typed errors, structured evidence and session recovery.
Read articleAnthropic CCAR-F: Practical Scenarios and Study Plan Across Five Domains
Use a two-week CCAR-F preparation plan with original Claude architecture scenarios spanning all five blueprint domains.
Read articleAnthropic CCAR-F: Choosing a Claude Deployment Model: API, Bedrock, and Vertex AI
Compare direct Claude API access, Claude Platform on AWS, Amazon Bedrock and Vertex AI across control planes, model choice, governance and recovery.
Read articleAnthropic CCAR-F: Claude MCP Tool Selection and Structured Errors
Improve Claude MCP tool choice, descriptions and structured error recovery with bounded permissions.
Read articleAnthropic CCAR-F: Few-Shot Prompts, Batch Processing, and Multi-Pass Review with Claude
Learn when to use Claude few-shot examples, Message Batches and multi-pass evidence review.
Read articleAnthropic CCAR-F: Claude Code Plan Mode, Skills, and CI Workflows
Use Claude Code plan mode, skills, hooks, permission boundaries and CI workflows with reliable review controls.
Read articleAnthropic CCAR-F: Claude Subagents, Handoffs, and Session Resumption
Design dependable Claude subagent delegation, handoffs, provenance and recoverable sessions.
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