intermediateFree
LangChain for LLM Application Development
by Harrison Chase & Andrew Ng · DeepLearning.AI
4.6(8,200 reviews)
200K+ enrolled1 hourUpdated 2024-03
What You'll Learn
Understand the fundamentals and key concepts of LangChain
Apply LangChain techniques to solve real-world problems
Understand the fundamentals and key concepts of LLMs
Apply LLMs techniques to solve real-world problems
Understand the fundamentals and key concepts of agents
Apply agents techniques to solve real-world problems
About This Course
Learn to use LangChain to build applications powered by large language models including chains, agents, and memory.
Curriculum
Module 1: LangChain & LLMs6 lessons
- Introduction to LangChain
- LangChain in Practice
- Hands-on Exercise: LangChain
- Introduction to LLMs
- LLMs in Practice
- Hands-on Exercise: LLMs
Module 2: Agents & Chains6 lessons
- Introduction to agents
- Agents in Practice
- Hands-on Exercise: Agents
- Introduction to chains
- Chains in Practice
- Hands-on Exercise: Chains
Module 3: Memory & RAG6 lessons
- Introduction to memory
- Memory in Practice
- Hands-on Exercise: Memory
- Introduction to RAG
- RAG in Practice
- Hands-on Exercise: RAG
Instructor
Harrison Chase & Andrew Ng
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Harrison Chase & Andrew Ng
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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