96396 - Mastering LangChain for RAG Applications
17448288
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Course Overview
LangChain is one of the most popular frameworks that makes it integration and working with large language models easy. This is the most comprehensive course on LangChain in the industry. All registrations receive a 12-month access to the learning platform. The live instructor-led sessions are 8 hours long. There is a lot more learning material available before and after the live session.
What You'll Learn
- Model I/O - Interface with any open or closed source LLM. Learn to use prompt templates and input/output parsers.
- Retrieval - Practical exercises in retrievers such as vector store, parent-document, multi-vector, multi-query, self-query, and contextual compression.
- Chains - Learn to orchestrate complex workflows by constructing sequences of calls to language models, data retrieval systems, and other compnents.
- Memory - Learn to build conversational context and the application's ability to provide coherent and relevant responses or actions based on past exchanges.
- Agents - Learn to dynamically determine sequences of actions to perform, leveraging language models as a reasoning engine. Key concepts include AgentExecutor, Tools, and Toolkits.
- LangSmith and LangGraph - Debug, test, evaluate, and monitor chains and intelligent agents created on any LLM framework. Learn to build stateful, multi-actor applications with LLMs.
Who Should Attend
- Developers
- Data Scientists
- Engineers
- Analysts
- Consultants building LLM applications
- Product Managers
- CTOs
- Engineering leaders who interested in end-to-end LLM applications
- Founders who working on new products that leverage large language models
- Anyone with working knowledge of Python and an interest in LLMs
Prerequisites
The participants should be comfortable with Python programming. Having a basic understanding of large language models is strongly recommended.Loading...
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UNM Tuition Remission
UNM Staff, Faculty, and Retirees: This course is Tuition Remission eligible under Professional Development. For more information, visit the UNM Tuition Remission information page.
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