Master LangChain LLM Integration: Build Smarter AI Solutions
Develop Intelligent AI Solutions with LangChain - Chatbots, Custom Workflow, LLMs, and Prompt Optimization Techniques
4.77 (11 reviews)
2,041
students
9.5 hours
content
Feb 2025
last update
$44.99
regular price
What you will learn
Master LangChain architecture and LLM integration, harnessing advanced agents, chains, and document loaders to design intelligent, scalable AI solutions
Design and implement robust end-to-end LangChain workflows, leveraging document splitters, embeddings, and vector stores for dynamic AI retrieval
Integrate and optimize multiple vector stores and retrieval systems, mastering FAISS, ChromaDB, PineCone, and others to elevate AI model performance
Leverage diverse document loaders, text splitters, and embedding techniques to efficiently transform unstructured data for AI processing
Implement interactive LangChain applications with dynamic chain runnables, parallel execution, and robust fallback strategies for resilience
Utilize advanced prompt templates and output parsers, including JSON, YAML, and custom formats to optimize and enhance AI model interactions for accuracy
Apply LangSmith and Phoenix Arize tools for end-to-end tracing and evaluation, ensuring reliable performance of your LangChain QA applications
Build and deploy robust AI solutions by integrating LLMs with LangChain, using agents, retrievers, prompt engineering, and scalable vector systems
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udemy ID
4/12/2024
course created date
2/10/2025
course indexed date
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