Multi-Model Orchestration: Claude, GPT-4, and Gemini in Azure AI Foundry
Azure AI Foundry provides access to Claude, GPT-4, and Gemini models in a single platform. Multi-model orchestration allows you to leverage each model’s strengths, implement
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Single Agent Implementation with Semantic Kernel: Complete Guide to Building Autonomous Agents (Part 3 of 8)
Azure AI Foundry Foundation Setup: Complete Development Environment Guide (Part 2 of 8)
Azure AI Foundry Agentic AI: Enterprise Business Automation Revolution (Part 1 of 8)
Real-World Case Studies: Enterprise AI Agents Delivering Production ROI
Security and Threat Mitigation for Enterprise AI Agents
Integration with Existing Enterprise Systems for AI Agents
Monitoring, Observability and Governance Frameworks for Enterprise AI Agents
Production Deployment Strategies for AI Agents at Scale
Multi-Agent Orchestration Patterns and Architecture for Enterprise AI
Building Autonomous AI Agents with Model Context Protocol Azure AI Foundry provides access to Claude, GPT-4, and Gemini models in a single platform. Multi-model orchestration allows you to leverage each model’s strengths, implement
Understand the fundamentals of OpenTelemetry and why Azure Monitor adopted this vendor-neutral observability framework. Learn about the three pillars of observability, OpenTelemetry architecture, Azure Monitor Distro, and key differences from legacy Application Insights SDKs.
Azure AI Foundry deployments of Claude can quickly become expensive at scale without proper cost management. Understanding the pricing model, implementing intelligent caching, choosing appropriate
Learn how to implement OpenTelemetry instrumentation for Node.js applications with Azure Monitor. Complete guide covering Express and Fastify frameworks, automatic instrumentation, custom spans, custom metrics, production configuration, and migration from legacy Application Insights SDK.
Production RAG systems transform Claude from a general-purpose assistant into a domain expert grounded in your enterprise data. Building reliable, scalable RAG architectures in Azure
Master production deployment of MCP servers with Kubernetes orchestration, CI/CD automation, OpenTelemetry monitoring, and performance optimization strategies for enterprise-scale AI integration.
Connect MCP servers to Azure AI Foundry and Claude with practical integration examples. Learn configuration, authentication, and cross-platform orchestration patterns for enterprise AI deployments.
Prompt engineering has evolved from simple question-and-answer interactions to sophisticated patterns that unlock Claude’s full potential in Azure AI Foundry. As enterprises deploy Claude at
Master enterprise MCP integration with OAuth 2.1 authentication, role-based access control, monitoring, scaling, and security best practices. Production-ready patterns for deploying MCP servers at scale.