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Build a reactive local AI agent using Semantic Kernel and Ollama for deterministic tool execution and natural language reasoning.

Build a production-ready MCP setup in C# and .NET 9, integrating a simple time tool with Ollama for deterministic AI workflows.

The shift from classical ML to modern AI is primarily architectural. Discover why engineering is moving from static algorithms to orchestrated systems.

Designing, structuring, and managing context to deliver personalized, consistent, memory-aware AI across sessions and complex workflows.

Mastering prompt engineering as a strategic discipline for guiding LLMs toward precise, reliable outputs in enterprise workflows.

A complete 2026 roadmap for mastering AI Engineering covering fundamentals, LLMs, RAG, agents, evaluation, and production deployment.

Build a local, category-aware RAG system with ASP.NET Core MVC, Ollama LLMs, and PostgreSQL + pgvector for secure, context-bound enterprise Q&A.

Build a C# console-based Retrieval-Augmented Generation (RAG) system leveraging Semantic Kernel, Ollama LLMs, and QDrant vector search for context-aware document Q&A.

Dive into Semantic Kernel for orchestrating AI and deterministic code in hybrid workflows, with a deep dive into a sales analytics application.

Explore emerging trends in software engineering, AI-assisted tools, and a step-by-step guide to setting up a private AI coding environment.