Udemy – Gen AI – RAG Application Development using LlamaIndex 2024-5

Published on: 2024-12-13 22:53:07

Categories: 28

Descriptions

Gen AI – RAG Application Development using LlamaIndex, This course uses Open AI GPT and Google Gemini APIs, LlamaIndex LLM Framework and Vector Databases like ChromaDB and Pinecone, and is intended to help you learn how to build LLM RAG applications through solid conceptual and hands-on sessions. This course covers all the basic aspects to learn LLM RAG apps and Frameworks like Agents, Tools, QueryPipelines, Retrievers, Query Engines in a crisp and clear manner. It also takes a dive into concepts of Language Embeddings and Vector Databases to help you develop efficient semantic search and semantic similarity based RAG Applications. We will also cover multiple Prompt Engineering techniques that will help make your RAG Applications more efficient.

What you’ll learn

Fundamentals of LLM RAG Application Development
Using Open AI GPT API to develop RAG Applications
Prompt Engineering – Write Optimized Prompts for your RAG Application
Using LlamaIndex Query Engines, Retrievers and Query Pipelines
Building Conversational Memory
Using Data Connectors
Building Smart Agents and Tools
Language Embeddings and Vector Databases
Working with SQL Databases
Working with Structured Data and Dataframes in RAGs
Convert your LlamaIndex RAG as a FAST API

Who this course is for

Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products
Software Developers looking to automate their Software Engineering processes using Gen AI