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Generative AI Architectures with LLM, Prompt, RAG, Vector DB
Design and Integrate AI-Powered S/LLMs into Enterprise Apps using Prompt Engineering, RAG, Fine-Tuning and Vector DBs
4.4 ★★★★★6,648 studentsCreated by Mehmet OzkayaPublished/Updated on: 🌐 English
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Key Takeaways
Course EssentialsCourse overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.
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Course Title
Generative AI Architectures with LLM, Prompt, RAG, Vector DB
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Provider
Udemy (via CourseSpeak listing)
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Instructor
Mehmet Ozkaya
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Last Updated
December 10, 2025
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Difficulty Level
All Levels
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Course Focus
development fundamentals to advanced concepts
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Learning Outcomes
Generative AI Model Architectures (Types of Generative AI Models), Transformer Architecture: Attention is All you Need, Large Language Models (LLMs) Architectures
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Prerequisites
Basics of Software Developments
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Target Audience
Beginners to advanced programmers
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What you'll learn
The following outcomes clarify specific competencies mastered by learners through practical projects:
✓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.
Requirements
This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.
•Basics of Software Developments
Course Description
A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive development courses.
Review - Generative AI Architectures with LLM, Prompt, RAG, Vector DB course on Udemy worth it?
This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.
Complete Review: Generative AI Architectures with LLM, Prompt, RAG, Vector DB by Mehmet Ozkaya
Generative AI Architectures with LLM, Prompt, RAG, Vector DB is a comprehensive online course designed to help students master Development skills. Created by Mehmet Ozkaya, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.
The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.
Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Generative AI (GenAI) and take their career to the next level.
Our Recommendation
Course recommendation: Generative AI Architectures with LLM, Prompt, RAG, Vector DB excels in development development based on verified student reviews and curriculum analysis.
Student Feedback
This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.
4.4
★★★★★
Course Rating
Based on 6,648 student reviews as of December 2025
Rating Breakdown:
5 stars:
75% (4,986)
4 stars:
15% (997)
3 stars:
5% (332)
2 stars:
5% (332)
1 star:
5% (332)
SJ
Sarah Johnson
★★★★★2 weeks ago
This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.
MT
Michael Torres
★★★★★3 weeks ago
Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.
DK
David Kim
★★★★★1 month ago
Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.
Frequently Asked Questions
This section addresses common questions and concerns about the course, including enrollment, content access, learning experience, and technical support.
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