In today’s data-driven business environment, leveraging advanced AI technologies is crucial for gaining a competitive edge. This course offers a comprehensive exploration of Retrieval-Augmented Generation (RAG) using the LangChain framework, focusing on practical applications tailored for business contexts. Participants will study practical aspects of integration of external data sources with large language models (LLMs) to increase their capabilities, enabling the development of sophisticated AI-driven solutions, allowing you or external user to chat with a slice of your data.
Throughout the course, learners will engage with real-world scenarios, applying RAG techniques to address common business challenges. By utilizing LangChain participants will gain hands-on experience in creating applications that seamlessly combine LLMs, prompt templates, and vector databases. This practical approach ensures that learners can immediately apply their skills to enhance business operations.
By the end of the course, learners will be proficient in analyzing structured data using natural language processing techniques and creating sophisticated AI-driven applications, ready to apply these skills in real-world business scenarios.
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