Considering that Java is the most popular and developer favourite programming language, DeepLearning.AI, once again in collaboration with LangChain, has released a new course “Learn how to build LLM applications with LangChain.js”
This free intermediate-level course is of one-hour program and will be led by Jacob Lee, LangChain’s founding engineer. It will cover different concepts in JavaScript for generative AI application development.
The course will cover various aspects, including using data loaders to extract information from common sources such as PDFs, websites, and databases. It will also delve into the use of prompts to provide context for the LLM, modules supporting RAG like text splitters and integrations with vector stores, working with different models for applications that aren’t vendor-specific, and implementing parsers to extract and format output for downstream code processing.
Through this comprehensive exploration, participants will gain a practical understanding of building applications with LangChain.js and leveraging its capabilities for effective LLM development.
You’ll also work with the LangChain Expression Language, enabling the easy composition of sequences, or chains, of modules for performing complex tasks with LLMs. This hands-on experience will be applied to the development of a conversational question-answering LLM application that can effectively use external data as context.
This marks Andrew Ng’s fourth collaboration with LangChain, following the release of the courses “LangChain: Chat With Your Data!”, “LangChain for LLM Application Development,” and “Functions, Tools, and Agents with LangChain”.
