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

Udemy – Gen AI – RAG Application Development using LangChain 2024-5 Downloadly IRSpace

Apr 17, 2025 - 20:19 Updated: Apr 21, 2025 - 10:25

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

Gen AI – RAG Application Development using LangChain, This course uses Open AI GPT APIs, LangChain LLM Framework and Vector Databases and is intended to help you learn Langchain and build solid conceptual and hand-on proficiency to be able to develop RAG applications and projects. This course covers all the basics aspects to learn LLM and Frameworks like Agents, Tools, Chains, Retrievers, Output Parsers, Loaders and Splitters and so on in a very thorough manner with enough hands-on coding. It also takes a deep 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 make your RAG Applications more efficient. Observability including Traces and Evaluations using LangSmith are also covered as part of this course. Create a comprehensive HR Chatbot that is able to respond with answers from a HR Policy and Procedure database loaded into a Vector DB, and retain conversational memory like ChatGPT. Build UI using Streamlit.

What you’ll learn

Fundamental of LLM RAG Application Development
LLM Frameworks with LangChain
Using Open AI GPT API to develop RAG Applications
Prompt Engineering Techniques
Engineering Optimized Prompts for your RAG Application
LangChain Loaders and Splitters
Using Chains and LCEL (LangChain Expression Language)
Using Retreivers, Agents and Tools
Conversational Memory
Multiple RAG Projects with various Source Types and Business Use

Who this course is for

Any Software Developer aspiring to use the power of LLMs to infuse Gen AI features in their Project and Products
Software Developers looking to automate their Software Engineering processes