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Training Lombok - Optimizing Java Code in DevOps Pipelines

Ref: WQA265
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master advanced Lombok annotations to reduce boilerplate code in professional development
  • Develop skills in custom annotations tailored to enterprise projects
  • Implement Lombok in CI/CD pipelines to accelerate DevOps deployments
  • Optimize Java code with Lombok for performance in certified environments
  • Design complex builders and validators using Lombok in a professional context
  • Integrate Lombok with Jenkins and GitHub Actions for advanced automations
  • Deploy scalable Lombok solutions boosting DevOps team productivity

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Lombok Fundamentals: @Builder, @Data, and Custom Annotations (IDE exercises, Maven configurations)

Dive into sophisticated Lombok annotations like @Builder and @Data to generate boilerplate-free code. Apply them through practical exercises in IntelliJ IDE, configure Maven/Gradle dependencies for immediate integration, analyze real enterprise cases reducing development time by 30%, produce automated getters/setters and test validity, while anticipating advanced pitfalls for robust production code.

Module 2Expert Lombok Annotations: @Singular, @Delegate, and lombok.config (debug tools, design patterns)

Explore @Singular for immutable collections and @Delegate for fluid delegations. Customize via lombok.config for enterprise projects, conduct practical workshops on refactoring legacy code, integrate advanced Builder patterns with validation, debug Lombok interactions using logs and profiler tools, generate unit-tested deliverables proving 40% readability gains, and prepare for CI/CD in DevOps.

Module 3Lombok in CI/CD: Jenkins Integration for Automated Builds (Jenkins pipelines, Lombok tests, reports)

Integrate Lombok into Jenkins pipelines for ultra-fast builds. Configure Maven stages with delombok for code audits, automate tests on advanced annotations via JUnit, analyze SonarQube reports adapted for Lombok, practice continuous deployments to remote environments, measure pipeline accelerations up to 50%, and produce reusable Jenkins configurations boosting professional DevOps team efficiency.

Module 4Lombok Automation with GitHub Actions: Advanced Workflows (YAML actions, secrets, build matrices)

Deploy Lombok via GitHub Actions for scalable CI/CD workflows. Write complex YAML with Java version matrices and delombok steps, manage secrets for secure deployments, test Lombok integration on automated pull requests, optimize Maven caches for 2x faster builds, generate deployable artifacts and status badges, and apply to real enterprise cases for certified DevOps productivity.

Module 5Lombok DevOps Best Practices: Monitoring, Scaling, and Troubleshooting (K8s, observability, final projects)

Synthesize Lombok best practices for scalable Kubernetes environments. Implement annotation monitoring with Micrometer, troubleshoot production pitfalls using delombok and traces, complete a capstone project integrating Jenkins/GitHub Actions CI/CD, evaluate overall performance with quantified metrics, deliver an advanced skills portfolio for certified CVs, and consolidate professional DevOps expertise.

Evaluation method

  • Daily interactive quizzes on Lombok annotations
  • Final CI/CD project with Jenkins and GitHub Actions
  • Enterprise case study with delombok report

Learning method

  • Active pedagogy with 70% hands-on practice on real code
  • Hands-on exercises remotely via Zoom and Git
  • Real cases from certified DevOps companies
  • 3-month post-training support with dedicated Q&A

Methods, materials and delivery

The Training Lombok - Optimizing Java Code in DevOps Pipelines program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Lombok - Optimizing Java Code in DevOps Pipelines program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Lombok - Optimizing Java Code in DevOps Pipelines program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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