Description
LangChain for LLM Application Development is a course offered by DeepLearning.AI that focuses on utilizing the LangChain framework to enhance the capabilities of language models in application development. The course is designed for beginners and is taught by Harrison Chase, the creator of LangChain, and Andrew Ng, a renowned AI expert. It covers essential topics such as models, prompts, parsers, memories, chains, question answering, and agents.
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Throughout the course, participants will learn how to apply language models to proprietary data to build personal assistants and specialized chatbots. The course includes 8 video lessons, 6 code examples, and 1 graded assignment, providing a comprehensive learning experience. The course duration is approximately 1 hour and 48 minutes.
Participants will gain skills in creating sequences of operations using chains, storing conversations with memories, and exploring the development of language models as reasoning agents. The course is free for a limited time during the DeepLearning.AI learning platform beta, making it accessible to a wide audience.
LangChain for LLM Application Development is ideal for individuals with basic Python knowledge who are interested in expanding their understanding of language models and their applications. By the end of the course, learners will be equipped to create robust applications using the LangChain framework.
- CategoryEducation & Research
- Pricing ModelFree during beta
LangChain for LLM Application Development's Core Features
Learn from LangChain creator Harrison Chase
Apply LLMs to proprietary data
Use agents and chained calls
Store conversations with memories
Create sequences of operations
Explore LLM as reasoning agents
Beginner-friendly course
Includes video lessons and code examples
Graded assignment available
Free access during beta
How to use LangChain for LLM Application Development?
Configure: Set up LangChain framework
Use: Apply LLMs to proprietary data
Optimise: Enhance applications with agents
Expand: Explore reasoning capabilities
LangChain for LLM Application Development's Use Cases
- Personal assistants
- Specialized chatbots
- Reasoning agents
- Data parsing
- Memory management
