GenAI for .NET: Build LLM Apps with OpenAI and Ollama - Free Udemy Course
Mar 14, 2026
💼 Udemy 🕒 6h 30m 👥 1,671 students 🌐 English
$199.99 $9.99
Development Generative AI (GenAI)

GenAI for .NET: Build LLM Apps with OpenAI and Ollama

Develop Chat, Vector Search, VectorDB, RAG and EShop AI Apps using OpenAI, Ollama and Microsoft Extensions AI (MEAI)

What you'll learn in this Udemy Course

  • GenAI Concepts: LLM, Token, SLM, Prompt Engineering
  • .NET + AI ecosystem: AI Development Tools and Libraries for .NET
  • Setup LLM Providers: GitHub Models, Ollama, Azure AI Foundry
  • Chat, Text Completions, Analysis and Function Calling w/ .NET
  • Text Completion LLM with GitHub Models OpenAI gpt-5-mini model
  • Classification, Summarization, Sentiment Analysis LLM Other Use Cases
  • Structured Output in LLM for Data Extraction Use Case
  • Build AI Chat App with .NET and gpt-5-mini model
  • Invoke .NET functions using GH gpt-5-mini model with Function Calling
  • .NET AI Vector Search using Vector Embeddings and Vector Store
  • Generate Embeddings and Calculate Similarity w/ CosineSimilarity
  • Develop .NET AI Vector Search App w/ Ollama and all-minilm embedding model
  • Retrieval Augmented Generation (RAG) Application w/ .NET AI
  • Build .NET Chat App w/ RAG Template w/ OpenAI gpt-5-mini model
  • Build .NET Chat App w/ RAG Template using Ollama and all-minilm
  • Build Image Analysis App w/ .NET and GH Models - OpenAI gpt-5-mini
  • Build Image Analysis App w/ .NET and Ollama llava
  • Build Eshop Vector Search App w/ .NET Aspire, gpt-5-mini and Qdrant Vector DB
  • Add Qdrant Vector Database into .NET Aspire
  • Unified AI building blocks: Microsoft Extensions AI (MEAI)

Udemy Coupon Requirements

  • Basics of .NET Development

About This Udemy Coupon

In this hands-on course, you'll learn to integrate OpenAI, Ollama and .NET's new Microsoft-Extensions-AI (MEAI) abstraction libraries to build a wide range of GenAI applications—from chatbots and semantic search to Retrieval-Augmented Generation (RAG) and image analysis.

Throughout the course, you’ll learn:
  • .NET + AI Ecosystem

You'll learn about Microsoft's new abstraction libraries like Microsoft-Extensions-AI, which makes it super easy to integrate & switch different LLM providers like OpenAI, Azure AI, Ollama and even self-hosted models.
  • Setting Up LLM Providers
  • Configure the LLM providers—such as GitHub Models, Ollama, and Azure AI Foundry—so you can choose the best fit for your use case.
  • Text Completion LLM w/ GitHub Models OpenAI gpt-5-mini and Ollama llama3.2 Model model

You’ll learn how to use .NET to integrate LLM models and performs Classification, Summarization, Data extraction, Anomaly detection, Translation and Sentiment Analysis use cases.

  • Build AI Chat App with .NET and gpt-5-mini model

You'll develop back-and-forth conversation based messaging with LLM and user where the AI maintains context across multiple user turns.  We will use Chat Streaming features when developing AI Chat Application.
  • Function Calling with .NET and gpt-5-mini model
  • Develop a function that will trigger from OpenAI GPT-5-mini. The model returns structured JSON specifying which .NET function to invoke, along with arguments for retrieving real-time data.
  • .NET AI Vector Search using Vector Embeddings and Vector Store

We’ll also cover Vector Search, a powerful feature that allows semantic search based on meaning—not keywords.

You’ll learn how to:
  • Generate embeddings using OpenAI’s text-embedding-3-small or Ollama’s all-MiniLM  embeddings model,
  • Store these in a vector database like Qdrant
  • Query the vector store with user embedding to find top matches by similarity
  • Retrieve relevant data based on similarity searches—all in our .NET applications.
  • RAG – Retrieval-Augmented Generation with .NET

You’ll learn how to combine vector search results with LLM responses to:
  • Retrieve relevant data from your own sources
  • Break documents into chunks → embed them → store in vector DB
  • At query time, embed the question → retrieve relevant chunks → pass them along with the user’s query to the LLM
  • Get accurate, context-specific answers using your internal data from LLM
  • We’ll implement the full RAG flow with real examples using .NET and Qdrant.
  • Image Analysis with .NET AI

Cover image recognition and analysis, showing how to send images to AI models, receive tags, captions or visual summaries and integrate those capabilities directly into your .NET apps
  • Vision models for object recognition, classification, or captioning
  • Combining text and image processing to build more powerful, multi-modal applications for traffic cam analysis operations
  • Final Project: E-Shop Semantic Search with .NET Aspire
  • You’ll build a complete full-stack AI-powered EShop Vector Search app step by step.

We’ll use:
  • .NET Aspire for service orchestration
  • Qdrant as our Vector Database
  • and GPT-5 Mini or Ollama’s local models to generate embeddings and respond intelligently to user queries

In this project, you’ll:
  • Generate product embeddings with OpenAI text-embeddings or Ollama all-minilm
  • Store them in Qdrant Vector DB  for fast similarity search
  • Implement a RAG flow that provides semantic search over our EShop product catalog
  • Enable users to search products by meaning—not just keywords

This project brings everything you learn in this course into a single, full-stack, real-world app.

By the end of this course, you'll have the tools and confidence to build intelligent, GenAI-powered apps in .NET.

⚡ Limited Time Offer

Coupon valid until end of April 2026

Don't miss out — grab this Development course before the coupon expires.

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What is GenAI for .NET: Build LLM Apps with OpenAI and Ollama?

GenAI for .NET: Build LLM Apps with OpenAI and Ollama is a 6h 30m online course on Udemy taught by Mehmet Ozkaya. It covers Generative AI (GenAI) and is designed for learners who want to genai concepts: llm, token, slm, prompt engineering . With 1,671 students enrolled and a 4.6 star rating, it is one of the top-rated courses in Generative AI (GenAI) on Udemy. Use the coupon above to access it at 95% OFF ($9.99).

About the Instructor

M

Mehmet Ozkaya

Udemy Instructor · Development Expert

Mehmet Ozkaya is an expert instructor on Udemy specializing in Development. Their course "GenAI for .NET: Build LLM Apps with OpenAI and Ollama" has helped 1,671 students master Generative AI (GenAI) with a 4.6 star rating.

Course Information

Platform

Udemy

Instructor

Mehmet Ozkaya

Duration

6h 30m

Language

English

Category

Development · Generative AI (GenAI)

Rating

4.6 (1,671 enrolled)

Price

$9.99 $199.99 -95%

Last Updated

March 2026

Related Topics

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Frequently Asked Questions

Is there a discount for GenAI for .NET: Build LLM Apps with OpenAI and Ollama?

Yes! Instead of paying $199.99, you can get GenAI for .NET: Build LLM Apps with OpenAI and Ollama for just $9.99 with our verified coupon — saving you $190.00 (95% OFF) today.

How do I apply the coupon code?

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How long is GenAI for .NET: Build LLM Apps with OpenAI and Ollama?

GenAI for .NET: Build LLM Apps with OpenAI and Ollama is approximately 6h 30m long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.

What will I learn in GenAI for .NET: Build LLM Apps with OpenAI and Ollama?

In GenAI for .NET: Build LLM Apps with OpenAI and Ollama by Mehmet Ozkaya, you will learn: GenAI Concepts: LLM, Token, SLM, Prompt Engineering ; .NET + AI ecosystem: AI Development Tools and Libraries for .NET ; Setup LLM Providers: GitHub Models, Ollama, Azure AI Foundry . The course covers Generative AI (GenAI) with 6h 30m of hands-on content.

What is GenAI for .NET: Build LLM Apps with OpenAI and Ollama?

GenAI for .NET: Build LLM Apps with OpenAI and Ollama is a 6h 30m online course on Udemy taught by Mehmet Ozkaya. It covers Development with a 4.6 star rating from 1,671 enrolled students. Use our verified coupon to access it at $9.99 (95% OFF).