GenAI for .NET: Build LLM Apps with OpenAI and Ollama — 95% OFF Discount Coupon

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

★4.6 out of 5
1,994 students
Created by Mehmet Ozkaya
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about GenAI for .NET: Build LLM Apps with OpenAI and Ollama before you enroll:

•Course Name: GenAI for .NET: Build LLM Apps with OpenAI and Ollama
•Platform: Udemy
•Instructor: Mehmet Ozkaya
•Coupon Last Verified: April 15, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Generative AI (GenAI)
•Total Time: 6h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: Basics of .NET Development
•Current Price: $9.99 (was $199.99). You save $190.00 with 95% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of GenAI for .NET: Build LLM Apps with OpenAI and Ollama, you'll have these practical skills:

✓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).

What You Need Before Starting

Before enrolling in GenAI for .NET: Build LLM Apps with OpenAI and Ollama, make sure you have:

•Basics of .NET Development

About This Udemy Course

The following is the full official course description for GenAI for .NET: Build LLM Apps with OpenAI and Ollama as published on Udemy by instructor Mehmet Ozkaya:

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.

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Is the GenAI for .NET: Build LLM Apps with OpenAI and Ollama Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 15, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, GenAI for .NET: Build LLM Apps with OpenAI and Ollama is a high-value resource for learners seeking to build skills inDevelopment. Taught by Mehmet Ozkaya on Udemy, the 6h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 95%, from $199.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 95% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 1,994 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in GenAI for .NET: Build LLM Apps with OpenAI and Ollama:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

GenAI for .NET: Build LLM Apps with OpenAI and Ollama Course holds an aggregate rating of 4.6 out of 5 based on 1,994 student reviews on Udemy.

4.6
★★★★★
1,994 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Mehmet Ozkaya, the instructor responsible for creating and maintaining GenAI for .NET: Build LLM Apps with OpenAI and Ollama on Udemy.

GenAI for .NET: Build LLM Apps with OpenAI and Ollama is taught by Mehmet Ozkaya, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Mehmet Ozkaya
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about GenAI for .NET: Build LLM Apps with OpenAI and Ollama, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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