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Building LLM Applications with LangChain
From single-call prompts to agent stacks — RAG, tool use, memory, evaluation, and deployment.
4.7 (2,410)
9.0 hours Certificate Intermediate
English
9,741 Students Enrolled
About This Course
A 9-hour deep dive into building real LLM applications. Covers RAG (chunking, retrieval, reranking), agent loops, memory strategies, tool use, cost optimisation, offline evaluation with LangSmith and Braintrust, and a final deployment lesson using Docker + Fly.io.
Beginner Friendly
Start from zero, no experience needed
Hands-On Projects
Build real things as you learn
Lifetime Access
Learn at your own pace, forever
Real-World Examples
Apply skills to real scenarios
AI Workflows
Practical, repeatable systems
Certificate Included
Shareable on LinkedIn
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