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Generative AI Architectures with LLM, Prompt, RAG, Vector DB
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 — $10.99 today (93% off), listed until Aug 19.
by Mehmet Ozkaya · ⭐ 4.5 via Udemy · 32,565 students · English
$10.99$159.9993% OFF
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✓ 93% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since September 19, 2025 to July 22, 2026. Red dot = current price ($10.99) — CoursesWyn records the price on each sync.
Current price
$10.99
Original price
$159.99
Tracked since
September 19, 2025
Last checked
Jul 22
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on July 22, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
9.0
/ 10
Discount depth
93%
Udemy rating
4.5 / 5
Popularity
32,565 students
Tracking length
328 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Sep 19, 2025Listed by CoursesWyn — price recorded at $10.99Listed
Jul 22, 2026Coupon checked — checkout price $10.99 · listed until Aug 19Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | July 22, 2026 |
| Level | All Levels |
| Content | 7 hours 30 minutes |
| Language | English |
| Requirements | Basics of Software Developments |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
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
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Coupon & redemption FAQ
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