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.
Category: AI
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.
Real-World Scenarios & Case Studies: How Teams Leverage Copilot Agent
Discover real-world case studies showing how startups, enterprises, and open-source projects leverage GitHub Copilot agent. Learn from TechStart’s velocity gains, LargeBank’s consistency improvements, and OpenLibrary’s maintainability solutions.
Hands-On Implementation & Best Practices: Setting Up Copilot Agent in Your Workflow
Master hands-on implementation of GitHub Copilot’s coding agent. Learn setup procedures, core workflows, best practices, common pitfalls, and team adoption strategies for integrating AI into your development process.
Core Capabilities & How It Works: Technical Deep Dive into Copilot Agent
Dive deep into how GitHub Copilot’s autonomous agent actually works. Explore the technical mechanics of code review automation, test generation, bug fixing, and specification implementation with practical workflows.
GitHub Copilot’s Coding Agent: From Pair Programmer to Autonomous Teammate
Discover how GitHub Copilot has evolved from a simple pair programmer into a fully autonomous coding agent. Explore the shift in developer roles and why this transformation matters for modern software teams.
Building Your First MCP Server with Node.js
Learn how to build a simple MCP server with Node.js. This beginner-friendly guide walks you through creating, testing, and running your first MCP server using the MCP Inspector.
