Formation Java 25 & Spring Boot 4 – Migrate and master the 2026 standards
Master Java 25 LTS, Spring Boot 4 and Hibernate 7, and lead the migration of an existing codebase to 2026 standards
This training is designed for Java developers who need to converge towards Spring Boot 4 and Java 25 LTS. It covers both mastering the new language and framework capabilities, and the real conduct of a production migration: strategy, OpenRewrite tooling, classic pitfalls and industrialization. You work on PaymentHub, a red-thread application built in Spring Boot 4 and Java 25, then apply a reproducible playbook to legacy codebases on day three.
- On-site or live virtual class (Microsoft Teams by default)
- Groups of 4 to 8 trainees maximum
- PaymentHub red-thread project + reference legacy migration codebases provided
- Customizable migration playbook in Markdown with OpenRewrite recipes
- Spring Boot 4 and Hibernate 7 code review checklist
- Private Slack/Discord channel kept active for 6 months after the training
- Reference: JAVA25-SPRING4-MIG-3J — eligible for OPCO, CPF and corporate skill development plans
Eligible for OPCO funding and skills development plans
Course objectives
Detailed program (14 modules)
Target audience
- Java developers in role for at least 2 years, running Spring Boot 2.x or 3.x
- Lead developers, tech leads and software architects
- Teams facing version technical debt (Spring Boot 2.7, Java 8 or 11)
- DevOps or SRE engineers working on Spring Boot applications
Prerequisites
- Regular Java practice in a professional environment: classes, lambdas, streams, generics
- First operational experience with Spring Boot 2.x minimum on a real-world application
- Understanding of relational databases, transactions and JPA persistence
- Comfortable with Git, Maven or Gradle, and a Java IDE (IntelliJ IDEA recommended)
- JDK 25 LTS, Maven 3.9+ or Gradle 8.5+, Docker 24+, 16 GB RAM minimum
Your instructor
Lead AI Engineer
Our AI lead has recognized expertise in artificial intelligence with several years of experience in data and AI. He designs and deploys innovative agentic solutions for leading global corporations.
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AI Engineer
From querying models to building autonomous systems in production