LangChain for LLM Application Development
Learned LangChain framework directly from creator Harrison Chase, covering RAG, agents, memory, and building production LLM applications.
Key Highlights
About This Achievement
Successfully completed the LangChain for LLM Application Development course by DeepLearning.AI, taught directly by Harrison Chase, the creator of the LangChain framework. This hands-on course covered essential concepts for building production LLM applications including applying LLMs to proprietary data, building personal assistants and specialized chatbots, and implementing advanced patterns like Retrieval-Augmented Generation (RAG). Learned to use agents for dynamic tool selection, chained calls for complex workflows, and memory systems to maintain context across conversations. The course provided practical experience in expanding LLM use cases beyond simple prompt-response patterns to create sophisticated, context-aware AI applications.