Gen AI – RAG Application Development using LangChain
English | Tutorial | Size: 1.76 GB
In this 8-hour course, you will explore the LangChain framework and its applications in language model development. Starting from the basics, you’ll advance to topics such as prompts, agents, and vector databases, culminating in building your own Retrieval-Augmented Generation (RAG) applications.
What I will be able to do after this course
Develop proficiency in working with LangChain for large language models.
Learn to create and manage effective prompts and chat prompt templates.
Gain insight into utilizing agents and tools effectively within your applications.
Understand and apply concepts of language embeddings and vector databases clearly.
Build and deploy real-world RAG (Retrieval-Augmented Generation) applications.
Course Instructor(s)
Manas Dasgupta is an experienced AI professional with expertise in large language models and natural language processing. With years of teaching and research under their belt, Manas has cultivated an engaging and practical approach to learning, focusing on practical implementation and real-world case studies.
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