Learn to build production-ready MCP servers with Python and FastMCP. Step-by-step guide covering tools, resources, database integration, error handling, testing, and Claude Desktop integration with complete working examples.
Category: AI
Model Context Protocol Part 1: Understanding the New Standard for AI-Data Integration
Explore the Model Context Protocol (MCP), the emerging standard for AI-data integration. Learn MCP’s client-host-server architecture, JSON-RPC messaging, capability negotiation, and how it solves the enterprise AI integration challenge.
TTS Forge: Build Your Custom Voice Cloning Pipeline with XTTS v2
Build a complete voice cloning pipeline that trains custom TTS models on consumer hardware. TTS Forge demonstrates end-to-end voice synthesis from recording through inference using XTTS v2 and VITS models.
Quantum Machine Learning and Variational Quantum Eigensolver Implementation in Azure Quantum
Explore comprehensive implementation of Variational Quantum Eigensolver (VQE) in Azure Quantum. Learn how to build production-ready quantum machine learning workflows with Python, Node.js, and C# code examples, optimization strategies, and enterprise integration patterns for solving complex problems in chemistry and materials science.
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.
Azure AI Foundry Deep Dive Series Part 3: Integrating OpenAI and Anthropic Claude Models with Intelligent Routing
Master multi-model integration in Azure AI Foundry. Learn how to leverage OpenAI GPT and Anthropic Claude models together, implement intelligent model routing, and optimize costs while maintaining quality across diverse AI workloads.
Azure AI Foundry Deep Dive Series Part 2: Building Production AI Applications with Enterprise Architecture
Learn how to build production-ready AI applications using Azure AI Foundry. This comprehensive guide covers architecture patterns, security implementation, cost optimization strategies, and operational best practices for enterprise deployments.
Azure AI Foundry Deep Dive Series: Introduction to Microsoft’s Unified AI Platform
Discover Azure AI Foundry, Microsoft’s unified platform for building, deploying, and managing enterprise AI applications. This comprehensive introduction covers architecture, capabilities, and recent innovations that make it the go-to platform for production AI systems in 2025.
