Generative AI Architectures with LLM, Prompt, RAG, Vector DB — 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:

• 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.

Before you start

• Basics of Software Developments

Is Generative AI Architectures with LLM, Prompt, RAG, Vector DB 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 32,565 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 7h 30m

Total runtime is 7h 30m of video, which you work through self-paced with lifetime access. The published syllabus lists 30 outcomes — headlined by generative AI Model Architectures (Types of Generative AI Models); transformer Architecture: Attention is All you Need; large Language Models (LLMs) Architectures. With 32,565 learners enrolled, the pacing and explanations have been stress-tested at scale.

Is the Price Fair After the Coupon Discount?

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. $159.99 is the list price, but Udemy courses at this level almost never sell at list. This coupon brings it to $10.99 — a 93% cut worth $149.00. Spread over the runtime, that is about $1.47 per hour of instruction — cheaper than a coffee per study session.

About This Udemy Course

The official description by Mehmet Ozkaya:

Learner Ratings: 4.5★ From 32,565 Learners

4.5 out of 5 from 32,565 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 · 32,565+ 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 7h 30m of video.