Prerequisites: Python & Basic LangChain
Level:
Advanced Architecture
Design and implement complex, multi-step chains and agents using advanced LangChain features.
Memory Management
Select and configure appropriate memory mechanisms for maintaining long-term conversational context.
Data Retrieval Optimization
Architect and optimize retrieval-augmented generation (RAG) pipelines for production scale.
Evaluation and Monitoring
Implement comprehensive evaluation, monitoring, and observability for LangChain applications using tools like LangSmith.
Optimization and Scaling
Apply performance optimization techniques and cost management strategies for LLM applications.
Deployment Strategies
Package, deploy, and scale LangChain applications using containerization and cloud-native technologies.
Security Implementation
Integrate security best practices throughout the LangChain application lifecycle.
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