Developing Gen AI - RAG Applications with LangChain - Online Course

Developing Gen AI - RAG Applications with LangChain - Online Course

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Develop powerful RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases

Updated on Sep, 2026

Programming, Data Science, LangChain

Training 5 or more people ?

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This course on developing RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases is intended to enable learners who want to build a solid conceptual and hand-on proficiency to be able to solve any RAG automation projects given to them. This course covers all the basics aspects of 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.

List of Projects Included:

For each project, you will learn:

Fundamental of LLM Application Development

LLM Frameworks with LangChain

Using Open AI GPT API to develop RAG Applications

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

Basic Python Language

No Data Science experience needed

Check out the detailed breakdown of what’s inside the course

Hi there, I am Manas Dasgupta, from Bangalore, the Silicon Valley of India.

By qualification, I hold a Master's Degree (MSc) in AI from the Liverpool John Moores University (LJMU), UK.

My expertise area encompass Generative AI - RAG Application Development using Frameworks like LangChain and LlamaIndex, Machine Learning and Data Science / Predictive Analytics areas including various Supervised, Unsupervised, Deep Neural Networks, Clustering Techniques, etc.

My research areas in Masters were Natural Language Processing (NLP) using Deep Learning Methods such as Siamese Networks, Encoder-Decoder techniques, various Language Embedding methods such as BERT, areas such as Supervised Learning on Semantic Similarity and so on.

I have > 20 Years of experience in the IT Development mostly in the Financial Services domain, developing products and solutions. I am also the Founder of Teksands where me and my team develop Gen AI rich applications in the Talent space.

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