RabbitMQ with Java and Spring Training Course

This instructor-led live training, delivered either online or on-site, is tailored for developers and software engineers aiming to utilize RabbitMQ for messaging-based communication between microservices, with a focus on advanced implementation and troubleshooting.

By the end of the course, participants will be able to:

• Set up the required environment for developing advanced messaging solutions with RabbitMQ.
• Design distributed microservices architectures using RabbitMQ.
• Implement advanced configurations, security measures, networking, high availability, and replication.
• Address common installation issues in RabbitMQ and find effective resolutions.
• Optimize memory, manage flow control, and tune performance for optimal results.
• Apply advanced techniques for troubleshooting complex issues.

During this instructor-led, live training delivered in Denmark, participants will explore how to install, configure, and administer RabbitMQ. They will then proceed to integrate RabbitMQ messaging into several sample .NET applications.

By the end of the training, participants will have the ability to:

• Set up, configure, and manage RabbitMQ.
• Understand the role of RabbitMQ in the design and implementation of microservices architectures.
• Compare RabbitMQ against other message queuing architectures.
• Establish and use RabbitMQ as a broker for processing asynchronous and synchronous messages in real-world enterprise .NET applications.

In this instructor-led live training session held in Denmark (either online or onsite), attendees will learn how to decouple Python applications and subsequently integrate them with the RabbitMQ messaging system. This approach facilitates the development of distributed cloud applications or microservices.

By the conclusion of this training, participants will be equipped to:

• Establish, configure, and oversee RabbitMQ operations.
• Appreciate the role RabbitMQ plays in the design and execution of microservice architectures.
• Evaluate RabbitMQ against other Message Queuing Architectures.
• Implement RabbitMQ as a broker for managing asynchronous and synchronous messaging in real-world Python applications.

This instructor-led live training in Denmark (available online or on-site) is designed for Java developers aiming to use the Spring 5 framework to develop and deploy enterprise web applications.

By the end of this program, participants will be able to:

• Install and configure Spring 5.
• Understand and implement the latest features of Spring 5.
• Access databases via Spring Application.
• Employ WebFlow, the new reactive web framework, to build reactive applications.
• Integrate Spring applications with legacy Java EE applications.
• Test and deploy enterprise-grade Spring applications.

This practical course offers a hands-on introduction to developing generative AI applications using Spring AI. Learners will discover methods for integrating and configuring AI models, crafting effective prompts, managing structured responses and streaming, and enriching applications with proprietary data through Retrieval-Augmented Generation (RAG).

Additionally, the curriculum addresses conversation memory, AI tools, the Model Context Protocol (MCP), monitoring and observability, security and safeguarding, along with standard generative AI patterns and agentic workflows. Through hands-on exercises, participants will construct and expand Spring AI applications, exploring how to combine these capabilities to deliver robust, production-ready AI solutions.

This live, instructor-led training, available either online or onsite, is tailored for developers seeking to utilize WebFlux for the development and deployment of reactive solutions.

Upon completion of this program, participants will be equipped to:

• Install and configure Spring 5 along with the WebFlux framework.
• Build reactive applications and associated services.