Udemy – Generative AI Architectures with LLM, Prompt, RAG, Vector DB 2024-11

Generative AI Architectures with LLM, Prompt, RAG, Vector DB is a course published by Udemy Online Academy. It is a comprehensive course designed for developers and AI enthusiasts looking to explore the cutting-edge technologies behind generative AI. The course covers architectures of large language models (LLM), rapid engineering techniques, retrieval-augmented generation (RAG), and the use of vector databases to enhance AI capabilities. Individuals will explore how these components interact to create powerful AI systems that can generate human-like text, answer questions, and retrieve information efficiently.

This course goes beyond learning about generative AI, but is also a deep dive into the world of how to design advanced AI solutions by integrating LLM architectures into enterprise applications. The course emphasizes practical applications, including building generative AI models for a range of tasks such as content generation, automated response, and data retrieval. By the end of the course, students will be equipped to design and implement advanced AI systems using LLM, queries, RAG, and vector databases.

What you will learn in Generative AI Architectures with LLM, Prompt, RAG, Vector DB:

• Architecture of Generative AI Models
• Large Language Models (LLMs) Architecture
• Function Invocations and Structured Outputs in Large Language Models (LLMs)
• How to Choose LLM Models
• Installing and Running Llama and Gemma Models Using Ollama
• Advanced Recommendation Techniques
• Fine Tuning an LLM for EShop Customer Support Using OpenAI Playground
• And…

Course specifications

Publisher: Udemy
Instructors: Mehmet Ozkaya
Language: English
Level: Introductory to Advanced
Number of Lessons: 72
Duration: 5 hours and 27 minutes

Course topics

Generative AI Architectures with LLM, Prompt, RAG, Vector DB Prerequisites

Basics of Software Architectures

Pictures

Generative AI Architectures with LLM, Prompt, RAG, Vector DB introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 1080p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 33 MB

Size

2 GB