Push your Quarkus knowledge into the microservice world with MicroProfile

In this course you will learn everything about Quarkus: from bootstrapping to containerizing an application

Map and query your entities from relational databases using JPA and Panache ORM

Learn Bean Validation and use it to apply constraints, validate and write constraints

Learn JPA, its annotations for mapping, as well as its query language, entity life cycle, etc.

Learn Quarkus but also its ecosystem (Microservices, MicroProfile, GraalVM, Docker, K8s, etc.)

Develop an entire microservice application using Quarkus as well as MicroProfile and JPA

Implementing REST and Reactive Microservices with Quarkus and MicroProfile

Use the WindUp VS Code extension to discovery and assess Java applications

In this series of videos you will learn how to discovery and assess Java applications

Artificial Intelligence (AI) and Large Language Models (LLMs) are rapidly transforming the way we develop and interact with software applications. Integrating these advanced technologies into Java applications, however, can be a daunting task due to their complexity and the sheer volume of concepts involved. That’s where LangChain4j comes into play. In this fascicle, you will learn LangChain4j, the Java library that simplifies the integration of AI and LLMs into your applications. You will explore the fundamentals of AI, learn the history and evolution of AI models, and understand the core concepts of LangChain4j. From accessing and invoking large language models to manipulating embeddings in vector databases, you will gain hands-on experience through practical examples and code snippets. Additionally, you will discover advanced topics such as Retrieval-Augmented Generation (RAG), debugging, testing, and integrating LangChain4j with other technologies.