Udemy – Generative AI Architectures with LLM, Prompt, RAG, Vector DB

In this course, you’ll learn how to Design Generative AI Architectures with integrating AI-Powered S/LLMs into EShop Support Enterprise Applications using Prompt Engineering, RAG, Fine-tuning and Vector DBs.

We will design Generative AI Architectures with below components;

• Small and Large Language Models (S/LLMs)
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• Fine-Tuning
• Vector Databases

We start with the basics and progressively dive deeper into each topic. We’ll also follow LLM Augmentation Flow is a powerful framework that augments LLM results following the Prompt Engineering, RAG and Fine-Tuning.

Large Language Models (LLMs) module;

• How Large Language Models (LLMs) works?
• Capabilities of LLMs: Text Generation, Summarization, Q&A, Classification, Sentiment Analysis, Embedding Semantic Search, Code Generation
• Generate Text with ChatGPT: Understand Capabilities and Limitations of LLMs (Hands-on)
• Function Calling and Structured Output in Large Language Models (LLMs)
• 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
• Interacting Different LLMs with Chat UI: ChatGPT, LLama, Mixtral, Phi3
• Interacting OpenAI Chat Completions Endpoint with Coding
• Installing and Running Llama and Gemma Models Using Ollama to run LLMs locally
• Modernizing and Design EShop Support Enterprise Apps with AI-Powered LLM Capabilities
• Develop .NET to integrate LLM models and performs Classification, Summarization, Data extraction, Anomaly detection, Translation and Sentiment Analysis use cases.

Prompt Engineering module;

• Steps of Designing Effective Prompts: Iterate, Evaluate and Templatize
• Advanced Prompting Techniques: Zero-shot, One-shot, Few-shot, Chain-of-Thought, Instruction and Role-based
• Design Advanced Prompts for EShop Support – Classification, Sentiment Analysis, Summarization, Q&A Chat, and Response Text Generation
• Design Advanced Prompts for Ticket Detail Page in EShop Support App w/ Q&A Chat and RAG

DOWNLOAD LINK: Generative AI Architectures with LLM, Prompt, RAG, Vector DB

Generative_AI_Architectures_with_LLM_Prompt_RAG_Vector_DB.part1.rar – 1000.0 MB
Generative_AI_Architectures_with_LLM_Prompt_RAG_Vector_DB.part2.rar – 1000.0 MB
Generative_AI_Architectures_with_LLM_Prompt_RAG_Vector_DB.part3.rar – 1000.0 MB
Generative_AI_Architectures_with_LLM_Prompt_RAG_Vector_DB.part4.rar – 32.9 MB

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