{"id":12428,"date":"2026-08-10T10:45:33","date_gmt":"2026-08-10T10:45:33","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-genai-for-net-build-llm-apps-with-openai-and-ollama-2025-7\/"},"modified":"2026-08-10T10:45:33","modified_gmt":"2026-08-10T10:45:33","slug":"udemy-genai-for-net-build-llm-apps-with-openai-and-ollama-2025-7","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-genai-for-net-build-llm-apps-with-openai-and-ollama-2025-7\/","title":{"rendered":"Udemy \u2013 GenAI for .NET: Build LLM Apps with OpenAI and Ollama 2025-7"},"content":{"rendered":"
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Description<\/span><\/h2>\n

GenAI for .NET: Build LLM Apps with OpenAI and Ollama. This course teaches how to build generative AI (GenAI) applications using the .NET platform and Large Language Models (LLM) from OpenAI and Ollama. In this hands-on course, participants learn how to integrate various AI services including OpenAI, Azure AI, and Ollama using the Microsoft-Extensions-AI abstract libraries to create diverse applications such as chatbots, semantic search systems, retrieval-based augmentation (RAG) systems, and image analytics. The topics begin with an introduction to the .NET AI ecosystem and configuring model providers, and then move on to implementing tasks such as classification, summarization, data mining, and sentiment analysis with models such as GPT-5-mini and Llama3.2. Building an intelligent chatbot with the ability to maintain the conversation context and using Chat Streaming and Function Calling to call functions from other departments. The topic of vector search is fully covered by generating and storing text embeddings in a vector database such as Qdrant and performing semantic search. Also, implementing a RAG system to retrieve information from personal documents and produce accurate answers and image analysis with computer vision models for tasks such as object recognition and image caption generation is taught. Finally, all these concepts are integrated into a complete and practical project titled \u201cVector Searchable E-Store\u201d using .NET Aspire for service orchestration, Qdrant and LLM models so that participants will gain the ability and confidence to develop intelligent GenAI applications at the end of the course.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n