Generative AI Architectures with LLM, Prompt, RAG, Vector DB
Coupon Verified on May 26th, 2025
Course Name : Generative AI Architectures with LLM, Prompt, RAG, Vector DB
Students : 3,103
Duration : 6.5 hours & 11 downloadable resources
Avg Rating : 4.4 (449 ratings)
Original Price : $119.99
Discount Price : $12
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What you’ll learn
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Generative AI Model Architectures (Types of Generative AI Models)
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Transformer Architecture: Attention is All you Need
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Large Language Models (LLMs) Architectures
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Text Generation, Summarization, Q&A, Classification, Sentiment Analysis, Embedding Semantic Search
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Generate Text with ChatGPT: Understand Capabilities and Limitations of LLMs (Hands-on)
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Function Calling and Structured Outputs in Large Language Models (LLMs)
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LLM Providers: OpenAI, Meta AI, Anthropic, Hugging Face, Microsoft, Google and Mistral AI
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LLM Models: OpenAI ChatGPT, Meta Llama, Anthropic Claude, Google Gemini, Mistral Mixral, xAI Grok
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SLM Models: OpenAI ChatGPT 4o mini, Meta Llama 3.2 mini, Google Gemma, Microsoft Phi 3.5
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How to Choose LLM Models: Quality, Speed, Price, Latency and Context Window
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Interacting Different LLMs with Chat UI: ChatGPT, LLama, Mixtral, Phi3
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Installing and Running Llama and Gemma Models Using Ollama
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Modernizing Enterprise Apps with AI-Powered LLM Capabilities
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Designing the ‘EShop Support App’ with AI-Powered LLM Capabilities
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Advanced Prompting Techniques: Zero-shot, One-shot, Few-shot, COT
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Design Advanced Prompts for Ticket Detail Page in EShop Support App w/ Q&A Chat and RAG
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The RAG Architecture: Ingestion with Embeddings and Vector Search
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E2E Workflow of a Retrieval-Augmented Generation (RAG) – The RAG Workflow
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End-to-End RAG Example for EShop Customer Support using OpenAI Playground
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Fine-Tuning Methods: Full, Parameter-Efficient Fine-Tuning (PEFT), LoRA, Transfer
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End-to-End Fine-Tuning a LLM for EShop Customer Support using OpenAI Playground
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Choosing the Right Optimization – Prompt Engineering, RAG, and Fine-Tuning
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Vector Database and Semantic Search with RAG
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Explore Vector Embedding Models: OpenAI – text-embedding-3-small, Ollama – all-minilm
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Explore Vector Databases: Pinecone, Chroma, Weaviate, Qdrant, Milvus, PgVector, Redis
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Using LLMs and VectorDBs as Cloud-Native Backing Services in Microservices Architecture
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Design EShop Support with LLMs, Vector Databases and Semantic Search
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Design EShop Support with Azure Cloud AI Services: Azure OpenAI, Azure AI Search
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Can I get a refund for the Generative AI Architectures with LLM, Prompt, RAG, Vector DB course, If I purchased with a coupon?
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