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Beyond the Basics: Building Generative AI Java Applications using LangChain4j

This is the rrepository for the LinkedIn Learning course Beyond the Basics: Building Generative AI Java Applications using LangChain4j. The full course is available from LinkedIn Learning.

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Course Description

In this intensive, hands-on course, AI expert and senior consultant Frank Greco proves that Java is a first-class citizen in the world of generative AI. Learn how to master LangChain4j, the de facto Java library for working with LLMs and generative AI tools. Using a large repo of example code, Frank demonstrates how to write Java code to build intelligent, context-rich Java applications that combine effective prompts with the power of embeddings, vector stores, ingestion architecture, and retrieval-augmented generation (RAG).

Additional topics covered include advanced prompting with templates, streaming LLM responses in real time, understanding embeddings and similarity, chunking strategies, invoking Java methods, agents, and more.

Instructor

Frank Greco

Senior AI/ML Consultant, Technology Strategist, Educator

Check out my other courses on LinkedIn Learning.

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