Udemy – Gen AI – LLM RAG Two in One – LangChain + LlamaIndex 2024-10

Gen AI Course – LLM RAG Two in One – LangChain + LlamaIndex. This course leverages the power of LangChain and LlamaIndex frameworks, along with OpenAI GPT and Google Gemini APIs, and vector databases such as ChromaDB and Pinecone. This course is designed to provide you with a comprehensive understanding of LLM RAG Advanced Application Development through in-depth conceptual learning and hands-on sessions. This course covers the essential aspects of LLM RAG applications and examines the components of both frameworks such as Agents, Tools, Chains, Memory, QueryPipelines, Retrievers and Query Engines in a clear and concise manner. Also, you will enter the world of linguistic embeddings and vector databases, allowing you to develop efficient semantic search and similarity-based RAG applications. Additionally, this course covers various prompt engineering techniques to increase the performance of your RAG applications. This dual approach gives you a broader view of RAG development and allows you to exploit the strengths of both LangChain and LlamaIndex in your projects.

What you will learn in this course

• Ability to develop your own RAG applications using LangChain or LlamaIndex
• Ability to effectively use vector databases in your RAG applications
• Creating effective prompts for your RAG application
• Create Agents and Tools as part of your RAG applications
• Creating RAG conversational bots
• Perform tracing for your RAG applications using LangGraph

This course is suitable for people who

• Software Developers, Data Scientists, ML Engineers, DevOps Engineers, Support Engineers, Test/QA Engineers

Gen AI Course Details – LLM RAG Two in One – LangChain + LlamaIndex

• Publisher:  Udemy
• Lecturer:  Manas Dasgupta
• Training level: beginner to advanced
• Training duration: 9 hours and 13 minutes
• Number of courses: 27

Course headings

Course prerequisites

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 831 MB

File(s) password: www.downloadly.ir

File size

3.8 GB