Training: Mastering Data Version Control with DVC: From Initiation to Production

On quote$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: CFI536
8 people max.
On quote$2,310
In-company rate: on quotefrom $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of data versioning with DVC, your ML pipelines become chaotic and non-reproducible, generating daily frustrations for data scientists.

  • 85 % of ML projects fail in production due to ineffective versioning, with average losses of 20 hours per week per team recreating datasets and models.

  • These issues cost companies an average of 75 000 € per incident, compromising market launch timelines and exposing them to GDPR non-compliance risks.

  • Each month without strong skills amplifies cumulative delays, threatening business growth and your career trajectory.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,749 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Understand the benefits of data version control in Machine Learning
  • Install and configure DVC in a development environment
  • Place datasets and models under version control
  • Automate data science pipelines with DVC
  • Collaborate effectively with a team on data-driven projects
  • Ensure traceability, reproducibility, and data security
  • Deploy a complete workflow from raw code to the final model in production

Program

Module 1Introduction to Data Version Control and DVC Installation

Presentation of versioning challenges in data science, limitations of Git for large files, discovery of key DVC concepts, installation on different OS, initialization of a DVC project, first data commits and remote storage configurations.

Module 2Advanced DVC Usage: Pipelines, Team Management, and Best Practices

Organization of datasets and models, creation and execution of reproducible pipelines, structuring experiments, collaboration for multiple users via DVC and Git, conflict management, best practices for maintenance and documentation.

Module 3Production Deployment and Integration into the ML Ecosystem

Integrate DVC with CI/CD (GitHub Actions, GitLab CI), monitor model evolution and performance, secure management of secrets and storage access, practical integration cases with MLflow, Kubernetes or cloud providers; experience feedback and case studies on real projects.

Evaluation method

  • Practical hands-on exercises after each module
  • Ongoing project evaluated at the end of the session
  • Multiple-choice quiz to validate learning outcomes

Learning method

  • Interactive online courses with demonstrations
  • Hands-on exercises on a real Git repository
  • Downloadable course materials
  • Concrete examples from industrial projects

Methods, materials and delivery

The Training: Mastering Data Version Control with DVC: From Initiation to Production program is delivered onsite or remote (blended-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: Mastering Data Version Control with DVC: From Initiation to Production 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: Mastering Data Version Control with DVC: From Initiation to Production 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

What can participants do after Training: Mastering Data Version Control with DVC: From Initiation to Production training?+
They can understand the benefits of data version control in Machine Learning, install and configure DVC in a development environment and place datasets and models under version control. Those are the stated objectives of the Training: Mastering Data Version Control with DVC: From Initiation to Production program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering Data Version Control with DVC: From Initiation to Production program cover, day by day?+
Day 1: Introduction to Data Version Control and DVC Installation. Day 2: Advanced DVC Usage: Pipelines, Team Management, and Best Practices. Day 3: Production Deployment and Integration into the ML Ecosystem. The Training: Mastering Data Version Control with DVC: From Initiation to Production program runs over 2 days, delivered on site.
How is Training: Mastering Data Version Control with DVC: From Initiation to Production training assessed?+
Assessment relies on practical hands-on exercises after each module, ongoing project evaluated at the end of the session and multiple-choice quiz to validate learning outcomes. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Data Version Control with DVC: From Initiation to Production program, which an L&D team can file as evidence.
How much does Training: Mastering Data Version Control with DVC: From Initiation to Production training cost per participant?+
Training: Mastering Data Version Control with DVC: From Initiation to Production training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.Training: Mastering Data Version Control with DVC: From Initiation to Production training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Mastering Data Version Control with DVC: From Initiation to Production training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Mastering Data Version Control with DVC: From Initiation to Production training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Mastering Data Version Control with DVC: From Initiation to Production training?+
Good knowledge of Git, basic notions in data science or machine learning.
Is a certificate issued after Training: Mastering Data Version Control with DVC: From Initiation to Production training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Mastering Data Version Control with DVC: From Initiation to Production training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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