LangChain for LLM Application Development Short Course

Course Overview

In this course, participants will acquire essential skills in utilizing language models (LLMs) for application development using the LangChain framework. Throughout the course, learners will explore various topics and gain hands-on experience in the following areas: Models, Prompts, and Parsers: Participants will learn how to call LLMs, provide prompts, and parse the responses received from the models. Memories for LLMs: Learners will discover how to implement memory systems to store conversations and effectively manage limited context space. Chains: The course covers the creation of sequences of operations, enabling learners to develop complex workflows for their applications. Question Answering over Documents: Participants will learn how to apply LLMs to process and extract information from proprietary data or specific use case requirements. Agents: The course delves into the emerging development of LLMs as reasoning agents, allowing learners to explore and leverage their capabilities. By the end of the course, participants will have developed a functional model that serves as a foundation for further exploration and integration of diffusion models into their own applications. This one-hour course, instructed by LangChain creator Harrison Chase and renowned AI expert Andrew Ng, unlocks new possibilities for leveraging powerful language models. Learners can now create robust applications in a remarkably short time span. The "LangChain for LLM Application Development" course is designed for beginners and does not require extensive programming experience. However, having basic knowledge of Python will enhance the learning experience and enable participants to derive the maximum benefit from the course. Join this course to unlock the potential of LangChain and unleash the power of language models in your application development journey.