LangChain Development
Offered By: Pluralsight
Course Description
Overview
This is an intermediate-level course about LangChain. This course will teach you how to create generative AI applications using this powerful open source platform.
Although large-language models have become a must have offering for every company, they are still complex to develop and apply. In this course, LangChain Development, you’ll gain the ability to understand how to use the powerful LangChain framework to create real-world LLM (large-language model) applications. First, you’ll explore the fundamentals of this versatile system, including the use of generative AI models, prompt engineering and training. Next, you’ll discover how to make sophisticated applications that use memory, chains and agents. Finally, you’ll learn about how to use vector databases like Pinecone to access external documents, which will allow for richer programs. When you’re finished with this course, you’ll have the skills and knowledge of LangChain needed to understand their practical applications.
Although large-language models have become a must have offering for every company, they are still complex to develop and apply. In this course, LangChain Development, you’ll gain the ability to understand how to use the powerful LangChain framework to create real-world LLM (large-language model) applications. First, you’ll explore the fundamentals of this versatile system, including the use of generative AI models, prompt engineering and training. Next, you’ll discover how to make sophisticated applications that use memory, chains and agents. Finally, you’ll learn about how to use vector databases like Pinecone to access external documents, which will allow for richer programs. When you’re finished with this course, you’ll have the skills and knowledge of LangChain needed to understand their practical applications.
Syllabus
- Course Overview 1min
- Understanding LangChain 28mins
- Using Generative AI Models 31mins
- Creating Prompts 29mins
- Learning about Memory 15mins
- Deciphering Chains 22mins
- Building Agents 21mins
- Exploring Indexes and Vector Databases 24mins
Taught by
Pluralsight
Related Courses
Vector Similarity SearchData Science Dojo via YouTube Supercharging Semantic Search with Pinecone and Cohere
Pinecone via YouTube Search Like You Mean It - Semantic Search with NLP and a Vector Database
Pinecone via YouTube The Rise of Vector Data
Pinecone via YouTube NER Powered Semantic Search in Python
James Briggs via YouTube