Generative AI Architectures with LLM, Prompt, RAG, Vector DB — 93% Off Coupon

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

⭐ 4.5 out of 5(32,565 students enrolled)Created by Mehmet OzkayaLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•Course Title: Generative AI Architectures with LLM, Prompt, RAG, Vector DB
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Mehmet Ozkaya
•Coupon Verified On: July 22, 2026
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Generative AI (GenAI)
•Duration: 7h 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: 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
•Price: $10.99 with coupon / Regular Udemy price: $159.99. Applying this coupon saves you $149.00 (93% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
⚠️
Important:This coupon may not function properly in private/incognito browsing mode. Please use a standard browser window and consider temporarily disabling any ad blockers or VPN services for optimal performance.

What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•Basics of Software Developments

About This Udemy Course

The following is the full official course description as published on Udemy by instructor Mehmet Ozkaya. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

Complete Udemy Coupons Guide
Where to find coupons, how to redeem them, and how to avoid expired codes.
Read Guide ↗

Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$10.99$159.99-93%
$10.99$159.99-93%
Rating
4.5(32.6k)
4.5(2.8k)
Duration7h 30m6h 30m
CouponJULY26JULY26
View DealCompare

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

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Jul 22, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Mehmet Ozkaya on Udemy, the 7h 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 93%, from $159.99 to $10.99, removing the primary financial barrier to enrollment.

Pros

  • ✓Verified 93% price reduction.
  • ✓High learner satisfaction (4.5/5).
  • ✓Trusted by 32,565 students.
  • ✓Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 93% price reduction and verified 4.5-star rating, Generative AI Architectures with LLM, Prompt, RAG, Vector DB is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

✓
Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified July 22, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.5 out of 5 based on 32,565 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.5
32,565 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. Last verified: July 22, 2026.

Instructor Profile

Background information on Mehmet Ozkaya, the instructor responsible for this course on Udemy.

MO
Mehmet Ozkaya
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
32,565+ enrolled
Rating
4.5 / 5.0
Course Duration
7h 30m
Teaching Approach
Practical, project-based instruction focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of July 22, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

Similar Udemy courses in Development with verified coupons: