GenAI for .NET: Build LLM Apps with OpenAI and Ollama — Udemy Coupon 93% OFF

Quick Verdict: Is This Generative AI (GenAI) Coupon Worth It?

What You'll Learn

Practical takeaways waiting inside this Development 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).

Before you start

• Basics of .NET Development

Is GenAI for .NET: Build LLM Apps with OpenAI and Ollama Still Relevant?

The last update landed July 22, 2026 — and for a Development course, freshness is the first thing to verify. An updated date means the instructor still maintains the material; a stale one means you learn last year's version of the tools.

The 4.5 rating from 2,785 learners suggests the content holds up in practice — ratings at that level rarely survive contact with outdated material. The entry bar looks low, which makes this a reasonable first course in the topic rather than a capstone.

What the Course Actually Delivers in 6h 30m

Across 6h 30m of video, you'll work through 20 published outcomes — first up: 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. Self-paced with lifetime access.

Is the Price Fair After the Coupon Discount?

This coupon brings it to $10.99 — a 93% cut worth $149.00. $159.99 is the list price, but Udemy courses at this level almost never sell at list. Spread over the runtime, that is about $1.69 per hour of instruction — cheaper than a coffee per study session. The real comparison is not list versus coupon, but coupon versus the next-best course at the same sale price — and on ratings-per-dollar, this one compares well.

About This Udemy Course

The official description by Mehmet Ozkaya:

Learner Ratings: 4.5★ From 2,785 Learners

4.5 out of 5 from 2,785 learners on Udemy. Estimated split per star below.

* Split estimated from the aggregate score. Source: Udemy. Checked July 22, 2026.

Pros and Cons of This Course

Who Should Enroll (And Who Should Wait)

Enroll now if:

• You want Generative AI (GenAI) skills with a certificate at the end
• You're starting from zero — the entry bar on this one is low
• You trust a 4.5★ learner record over marketing copy
• You want maximum cuts — this code takes 93% off
• You'll actually finish — code seats are limited, collectors waste them

Wait or look elsewhere if:

• You already mastered this topic — the first hours will feel like review
• You need a different language — this course is taught in English
• You collect courses without finishing them — let someone else take the seat

Meet the Instructor

Mehmet Ozkaya

Udemy instructor · 2,785+ learners here · ★ 4.5

Full Profile ↗

Hands-on, example-driven teaching around real Development workflows — watch, build alongside, then test yourself with quizzes. Expect around 6h 30m of video.