June 2024
Intermediate
10h 30m
English
Closed Captioning available in English
Overview
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.
Who is it for?
This course is ideal for developers and technical professionals familiar with Python and basic AI principles, aiming to advance their understanding of LangChain and large language models. Beginners with keen interest in natural language applications and skilled practitioners seeking new techniques will gain significant insights. Whether aiming to enhance current skills or break into the AI field, you'll find value here.
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