In the previous posts, we explored the Model Context Protocol fundamentals, examined Azure MCP Server’s capabilities, and built custom MCP servers on Azure. Now we
Category: Cloud Computing
Building Custom MCP Servers on Azure
In the previous posts, we explored the Model Context Protocol as a universal standard and examined how Microsoft’s Azure MCP Server enables AI agents to
Azure MCP Server: Connecting AI Agents to Azure Resources
In the previous post, we explored the Model Context Protocol as a universal standard for connecting AI systems with external data sources. Now we turn
Understanding Model Context Protocol: The Universal Standard for AI Integration
The artificial intelligence landscape has transformed dramatically over the past year, with large language models becoming increasingly sophisticated in their reasoning capabilities. However, even the
Azure Quantum Practical Guide Part 3: Implementing Grover’s Search Algorithm
Implement Grover’s quantum search algorithm on Azure Quantum. Learn amplitude amplification, understand quadratic speedup, analyze practical applications in cryptography and optimization, and explore when quantum advantage emerges with production Q# code.
Azure Quantum Practical Guide Part 2: Hybrid Quantum-Classical Computing Patterns
Master hybrid quantum-classical computing on Azure Quantum. Learn integrated hybrid architectures, implement adaptive algorithms like VQE and phase estimation, and understand real-time error correction with working Q# code examples.
Azure Quantum Practical Guide Part 1: Introduction to Quantum Computing and Azure Quantum Platform
Discover Azure Quantum, Microsoft’s cloud platform for quantum computing. Learn quantum fundamentals, qubit operations, and write your first quantum program using Q# and the Quantum Development Kit. Access multiple quantum hardware providers and powerful simulators.
Azure AI Foundry Deep Dive Series Part 6: Security and Governance Implementation
Master security and governance for Azure AI Foundry. Learn network isolation patterns, identity management, data encryption, content safety, compliance frameworks, and incident response strategies for production AI systems.
Azure AI Foundry Deep Dive Series Part 5: Cost Optimization Strategies for AI Workloads
Discover proven strategies to reduce Azure AI Foundry costs by 50-70% without sacrificing quality. Learn deployment optimization, prompt caching, batch processing, compute resource management, and automated cost controls for sustainable AI operations.
Azure AI Foundry Deep Dive Series Part 4: Custom Model Training and Fine-Tuning Workflows
Master custom model training in Azure AI Foundry. Learn when to fine-tune versus prompt engineering, how to prepare high-quality training data, and implement production-ready fine-tuning workflows with serverless and managed compute options.
