Practical Agentic AI (.NET)| Day 16 Build Cloud AI Agents with Azure OpenAI (.NET + Semantic Kernel) скачать в хорошем качестве

Practical Agentic AI (.NET)| Day 16 Build Cloud AI Agents with Azure OpenAI (.NET + Semantic Kernel)

In Day 16 of the Engineering AI Agents series, we migrate our AI agent system from local LLMs (Ollama) to Azure AI Foundry and Azure OpenAI. Until Day 15 we built a complete AI agent architecture locally using: • .NET • Semantic Kernel • Ollama • Multi-agent orchestration Now we move to enterprise-grade cloud AI infrastructure. In this episode you will learn how to: ✔ Connect Semantic Kernel with Azure OpenAI ✔ Configure Azure AI Foundry for AI agents ✔ Run multiple agents using cloud AI models ✔ Implement production architecture with caching, telemetry, and parallel execution ✔ Build scalable AI agent systems for real applications This step transforms our project from a local prototype into a cloud-ready enterprise AI platform. 🧠 Topics Covered • Azure AI Foundry architecture • Azure OpenAI integration • Semantic Kernel cloud configuration • AI agent runtime architecture • Parallel AI agent execution • Prompt caching • Telemetry and monitoring 🧰 Tech Stack .NET 8 Semantic Kernel Azure OpenAI Azure AI Foundry AI Agents Architecture 📚 Series Roadmap Day 0 – Agentic AI Setup Day 1 – Code Understanding Agent Day 2 – Code Review Agent Day 3 – Memory-Based Review Day 4 – Rule-Based Severity Day 5 – CI/CD Automation Agent Day 6 – Repo-Wide Review Day 7 – Test Case Generator Day 8 – DevOps Failure Analysis Day 9 – Multi-Agent Systems Day 10 – Supervisor Pattern Day 11 – Agent-to-Agent Communication Day 12 – Tool Plugins Day 13 – Structured Output Systems Day 14 – Observability & Telemetry Day 15 – Performance Optimization 👉 Day 16 – Cloud AI Migration #agenticai #aiagents #azureopenai #azureaifoundry #semantickernel #dotnetai #genai #aiengineering #llm