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Training Digital Twin 2026 - Versioning and Deploying Intelligent Twins

Ref: UQO659
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 versioning of Digital Twin 2026 models with Git for smooth professional collaboration
  • Develop skills in GitHub/GitLab integration to automate deployments of certified digital twins
  • Design optimized DevOps pipelines to simulate and version Digital Twins in real-time
  • Implement complex branching strategies adapted to enterprise projects on Digital Twin 2026
  • Optimize merge workflows and conflict resolution to accelerate iterations in professional training
  • Deploy secure and scalable Digital Twins via CI/CD, strengthening enterprise DevOps skills

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 Fundamentals of Digital Twin 2026: Modeling and Initial Versioning with Git (diagrams, advanced commits)

Discover the specifics of Digital Twin 2026 models, initiate precise versioning via Git to capture complex evolutions of digital twins, create structured commits with standardized messages, configure hooks to validate physical simulations, apply practical exercises on real industrial cases like aerospace, produce a first collaborative Git repository ready for the DevOps team, integrate metadata to track model iterations.

Module 2Branching and Merging Digital Twin 2026: Git Strategies for Parallel Simulations (feature branches, hotfix)

Dive into advanced Git branching techniques adapted to Digital Twin 2026, create feature branches to test variants of intelligent twins, simulate conflicting merges on interconnected 3D models, use Git rebase and cherry-pick to clean histories, apply to enterprise scenarios like automotive, generate workflow diagrams, validate via integrated automated tests, obtain an optimized workflow for 10+ contributors.

Module 3GitHub/GitLab Integration for Digital Twin 2026: CI/CD Pipelines and Automated Actions (YAML workflows)

Configure CI/CD pipelines on GitHub Actions and GitLab CI for Digital Twin 2026, write YAML files for building and testing real-time simulations, integrate runners to execute virtual 3D renders, deploy interactive previews for team validation, handle concrete Industry 4.0 cases with IoT data feeds, automate PR approvals to secure merges, produce a complete pipeline deployable in production DevOps.

Module 4Advanced Collaboration on Digital Twin 2026: Pull Requests, Reviews, and Git Protections (security, audits)

Master GitHub/GitLab pull requests to review Digital Twin 2026 evolutions, implement branch protection rules to prevent critical errors, conduct collaborative code reviews on simulation scripts, integrate tools like Dependabot to update model dependencies, simulate security audits on shared repositories, apply to multi-team enterprise projects, generate automated compliance reports, strengthen DevOps governance.

Module 5Deployment and Optimization of Digital Twin 2026: Tags, Releases, and Git Scaling (production, monitoring)

Finalize with semantic tags and Git releases to version Digital Twin 2026 in production, configure hot tags for rapid rollbacks, integrate monitoring via GitHub Insights and GitLab Analytics on simulation performance, scale for hybrid cloud environments, deploy a complete digital twin via end-to-end pipeline, evaluate via DevOps KPIs like lead time and MTTR, produce a certifying deliverable: Git repository ready for the enterprise with comprehensive documentation.

Evaluation method

  • Daily interactive quizzes on Git and Digital Twin 2026 concepts
  • Real case studies with oral presentation in remote format
  • Final project: complete CI/CD pipeline for a digital twin, graded and certifying

Learning method

  • 70% hands-on practice with Git/GitHub exercises on Digital Twins
  • Industrial case studies adapted to 2026 and DevOps
  • Replay videos and interactive materials accessible for 6 months
  • Live Q&A sessions with certified expert trainer

Methods, materials and delivery

The Training Digital Twin 2026 - Versioning and Deploying Intelligent Twins 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 2026 - Versioning and Deploying Intelligent Twins 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 2026 - Versioning and Deploying Intelligent Twins 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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