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Training Digital Twin - Mastering Digital Twins in DevOps

Ref: BEN276
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 Digital Twin architectures integrated into DevOps pipelines
  • Develop professional skills in versioning digital models with Git
  • Design real-time synchronization systems for digital twins in enterprise environments
  • Implement GitHub and GitLab workflows for certified collaboration on Digital Twins
  • Optimize simulation performance via DevOps tools in expert training
  • Deploy scalable Digital Twins for complex industrial applications

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Digital Twin Fundamentals: Architectures and DevOps Integration (Git Tools, Hybrid Modeling)

Discover expert principles of Digital Twins with a focus on Git integration for 3D model versioning. Explore hybrid cloud-on-premise architectures through practical exercises on IoT data synchronization. Configure your first CI/CD pipelines adapted to physical simulations. Produce a basic, deliverable, and real-time tested Digital Twin model. Analyze concrete cases from companies like Airbus to anchor professional skills.

Module 2Digital Twin Versioning: Advanced Git for Complex Models (Branches, Merges, Semantic Tags)

Dive into expert versioning of Digital Twins with Git. Master branching strategies for multiple simulation iterations. Practice merges on large datasets from sensors. Implement tags for digital twin releases. Develop custom Git hooks for automatic validation. Apply to an industrial case study with deliverable: an optimized Git repository for DevOps teams. Strengthen secure collaboration skills.

Module 3Digital Twin Collaboration: GitHub and GitLab in DevOps Pipelines (CI/CD for Simulations)

Integrate GitHub and GitLab into expert Digital Twin workflows. Configure CI/CD actions for automated real-time synchronization tests. Explore merge requests with pair-programming reviews on virtual models. Deploy GitLab runners for high-performance simulations. Practice managing issues related to digital twin anomalies. Produce a complete pipeline deliverable with integrated monitoring. Illustrate with feedback from Siemens teams in certified professional training.

Module 4Digital Twin Optimization: Performance and Scalability in DevOps (Monitoring, Auto-Scaling)

Optimize Digital Twins via advanced DevOps tools. Implement Git-integrated monitoring for physical model drifts. Configure Kubernetes auto-scaling driven by GitLab. Analyze bottlenecks with profilers on massive simulations. Practice Git rollbacks for quick restoration of faulty twins. Develop custom dashboards for visible ROI. Deliver a scalable system tested on a concrete connected factory case. Boost your enterprise-ready skills.

Module 5Production Deployment of Digital Twins: DevOps Security and Governance (Git Secrets, Compliance)

Finalize your Digital Twins for production with expert DevOps governance. Secure secrets via GitHub Actions and integrated vaults. Implement vulnerability scans on simulation code. Deploy in blue-green with Git workflows. Practice compliance audits for industrial ISO standards. Produce a deliverable portfolio of a deployed and certified Digital Twin. Review best practices via interactive Q&A. Consolidate all skills acquired in this 35-hour professional training.

Evaluation method

  • Advanced technical quizzes on Digital Twin architectures and Git
  • Real case studies with oral presentations and personalized feedback
  • Final project: deployment of a Digital Twin in a complete DevOps pipeline

Learning method

  • 70% hands-on practice on Git exercises and real Digital Twin simulations
  • 30% theory with case studies from leading Industry 4.0 companies
  • Unlimited access to video replays and post-training resources
  • Dedicated chat support by expert trainers for 3 months

Methods, materials and delivery

The Training Digital Twin - Mastering Digital Twins in DevOps 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 Digital Twin - Mastering Digital Twins in DevOps 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 Digital Twin - Mastering Digital Twins in DevOps 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.

Your professional training, anywhere

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