Linkedin Learning – Beyond the Basics: Building Generative AI Java Applications Using LangChain4j 2026

Linkedin Learning – Beyond the Basics: Building Generative AI Java Applications Using LangChain4j 2026
English | Tutorial | Size: 444.30 MB


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.

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