Generative AI Architectures with LLM, Prompt, RAG, Vector DB — 90% Off Coupon

Design and Integrate AI-Powered S/LLMs into Enterprise Apps using Prompt Engineering, RAG, Fine-Tuning and Vector DBs

4.4 6,648 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: Generative AI Architectures with LLM, Prompt, RAG, Vector DB
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: 7h 30m of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: Generative AI Model Architectures (Types of Generative AI Models) · Transformer Architecture: Attention is All you Need · Large Language Models (LLMs) Architectures
Prerequisites: Basics of Software Developments
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:

Generative AI Model Architectures (Types of Generative AI Models).
Transformer Architecture: Attention is All you Need.
Large Language Models (LLMs) Architectures.
Text Generation, Summarization, Q&A, Classification, Sentiment Analysis, Embedding Semantic Search.
Generate Text with ChatGPT: Understand Capabilities and Limitations of LLMs (Hands-on).
Function Calling and Structured Outputs in Large Language Models (LLMs).
LLM Providers: OpenAI, Meta AI, Anthropic, Hugging Face, Microsoft, Google and Mistral AI.
LLM Models: OpenAI ChatGPT, Meta Llama, Anthropic Claude, Google Gemini, Mistral Mixral, xAI Grok.
SLM Models: OpenAI ChatGPT 4o mini, Meta Llama 3.2 mini, Google Gemma, Microsoft Phi 3.5.
How to Choose LLM Models: Quality, Speed, Price, Latency and Context Window.
Interacting Different LLMs with Chat UI: ChatGPT, LLama, Mixtral, Phi3.
Installing and Running Llama and Gemma Models Using Ollama.
Modernizing Enterprise Apps with AI-Powered LLM Capabilities.
Designing the 'EShop Support App' with AI-Powered LLM Capabilities.
Advanced Prompting Techniques: Zero-shot, One-shot, Few-shot, COT.
Design Advanced Prompts for Ticket Detail Page in EShop Support App w/ Q&A Chat and RAG.
The RAG Architecture: Ingestion with Embeddings and Vector Search.
E2E Workflow of a Retrieval-Augmented Generation (RAG) - The RAG Workflow.
End-to-End RAG Example for EShop Customer Support using OpenAI Playground.
Fine-Tuning Methods: Full, Parameter-Efficient Fine-Tuning (PEFT), LoRA, Transfer.
End-to-End Fine-Tuning a LLM for EShop Customer Support using OpenAI Playground.
Choosing the Right Optimization – Prompt Engineering, RAG, and Fine-Tuning.
Vector Database and Semantic Search with RAG.
Explore Vector Embedding Models: OpenAI - text-embedding-3-small, Ollama - all-minilm.
Explore Vector Databases: Pinecone, Chroma, Weaviate, Qdrant, Milvus, PgVector, Redis.
Using LLMs and VectorDBs as Cloud-Native Backing Services in Microservices Architecture.
Design EShop Support with LLMs, Vector Databases and Semantic Search.
Design EShop Support with Azure Cloud AI Services: Azure OpenAI, Azure AI Search.
Develop .NET to integrate LLM models and performs Classification, Summarization, Data extraction, Anomaly detection, Translation and Sentiment Analysis use case.
Develop RAG – Retrieval-Augmented Generation with .NET, implement the full RAG flow with real examples using .NET and Qdrant.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

Basics of Software Developments

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 Generative AI Architectures with LLM, Prompt, RAG, Vector DB Coupon Worth It?

Generative AI Architectures with LLM, Prompt, RAG, Vector DB is a development course offered on Udemy by instructor Mehmet Ozkaya, spanning 7h 30m of on-demand content. It holds a 4.4/5 rating from over 6,648 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 (4.4/5) and enrollment numbers (6,648 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.

4.4
6,648 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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