GenAI for .NET: Build LLM Apps with OpenAI and Ollama — 90% Off Coupon

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

4.5 783 students enrolledCreated by Mehmet OzkayaLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: GenAI for .NET: Build LLM Apps with OpenAI and Ollama
Provider: Udemy (listed via CourseSpeak)
Instructor: Mehmet Ozkaya
Coupon Verified On: December 10, 2025
Difficulty Level: All Levels
Category: Development
Subcategory: Generative AI (GenAI)
Duration: 6h 30m of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: 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
Prerequisites: Basics of .NET Development
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from 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).

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

Basics of .NET Development

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Mehmet Ozkaya. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Mehmet Ozkaya
Field: Development
Teaching Style: Practical, project-based learning (as described in course curriculum)

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

GenAI for .NET: Build LLM Apps with OpenAI and Ollama is a development course offered on Udemy by instructor Mehmet Ozkaya, spanning 6h 30m of on-demand content. It holds a 4.5/5 rating from over 783 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on December 10, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.5/5) and enrollment numbers (783 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of December 2025. For individual student reviews, visit the course page directly.

4.5
783 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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