GenAI for .NET: Build LLM Apps with OpenAI and Ollama — 95% Off Coupon
Develop Chat, Vector Search, VectorDB, RAG and EShop AI Apps using OpenAI, Ollama and Microsoft Extensions AI (MEAI)
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Course Title: GenAI for .NET: Build LLM Apps with OpenAI and Ollama
Provider: Udemy (Listed via CoursesWyn)
Instructor: Mehmet Ozkaya
Coupon Verified On: April 15, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: Generative AI (GenAI)
Duration: 6h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
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
Price: $9.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $190.00 (95% OFF).
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Requirements
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Basics of .NET Development
About This Course
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- .NET + AI Ecosystem
- 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
- Build AI Chat App with .NET and gpt-5-mini model
- 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
- 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
- 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
- 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.
- .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
- 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
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
Mehmet Ozkaya
Verified Architect
A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
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| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, GenAI for .NET: Build LLM Apps with OpenAI and Ollama stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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