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AI, LLM & Agentic Systems

Retrieval-augmented generation, agent architectures, and how .NET and modern stacks integrate AI into production apps.

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Learn how to design scalable, reliable, and maintainable systems — from single servers to distributed architectures used by millions of users.

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Prompt engineering is the practice of designing inputs to large language models so they produce reliable, useful outputs. Unlike traditional

Retrieval-Augmented Generation (RAG) grounds LLM answers in real data instead of model memory. But not all RAG is the same. Classic RAG retr

Flashy demos are easy. Production agentic AI is not. In 2026, building agents that truly think, act, and improve on their own means masterin

Artificial intelligence is not here to replace .NET developers. It is here to extend what they can build. The fundamentals you already know

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