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Training Visual Regression Testing - Detect UI Regressions in 2026

Ref: HQY746
10 people max.
4375€ 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 the fundamentals of visual regression testing for professional applications
  • Configure open-source tools like BackstopJS and Percy in a business environment
  • Implement CI/CD pipelines for certified automated visual tests
  • Analyze visual diffs and manage false positives in a team
  • Optimize tests for multiple devices and various resolutions
  • Develop skills in visual regression testing for 2026 projects
  • Design robust baselines and actionable anomaly reports

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 1Fundamentals: Understand visual regression testing and environment setup (baselines, initial tools)

Discover the principles of visual regression testing to capture pixel-perfect snapshots of your interfaces, install Node.js and BackstopJS in a dedicated development environment, create your first baselines from a real website, perform manual comparative tests to identify visual discrepancies, and produce an initial report with annotated screenshots, while learning to avoid common pitfalls for reliable results from day one.

Module 2Practical Tools: Master BackstopJS for visual regression testing (advanced configurations, scenarios)

Dive into BackstopJS to automate your first visual tests on React or Vue.js applications, configure multiple viewports for desktop and mobile, define smart CSS selectors to isolate critical components, run test suites on real business cases like an e-commerce site, analyze generated diffs with built-in tools, adjust tolerance thresholds to minimize false positives, and integrate a practical exercise on your personal project with live trainer feedback.

Module 3CI/CD Integration: Automate visual regression testing in pipelines (GitHub Actions, Jenkins)

Integrate visual regression testing into real CI/CD pipelines with GitHub Actions and Jenkins, set up automatic triggers on pull requests to validate UI changes, test on dynamic staging environments, manage manual approvals for new baselines via collaborative interfaces, simulate continuous deployments with Docker for reproducibility, produce Slack/Teams notifiable reports, and apply all this to a business red thread project to measure impact on release velocity.

Module 4Advanced Analysis: Manage diffs and false positives in visual regression testing (Percy, Applitools)

Move to Percy and Applitools for collaborative visual diff analysis, learn to classify anomalies as bugs, accepted changes, or ignored, test on multiple browsers with Chrome/Firefox/Safari emulators, optimize masks for dynamic elements like sliders or modals, conduct simulated team reviews with shared annotations, generate custom dashboards to track UI stability metrics, and validate your skills on real cases of costly production regressions.

Module 52026 Optimization: Deploy scalable visual regression testing in the enterprise (best practices, monitoring)

Prepare your skills for 2026 by optimizing large-scale visual regression testing suites, integrate AI for automatic minor change detection, set up post-deployment monitoring with proactive alerts, test on real devices via cloud services like BrowserStack, finalize your red thread project with an executive report and action plan for the company, review best practices to reduce flakiness to under 5%, and leave with a concrete portfolio demonstrating your certified expertise.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous evaluation through practical visual testing exercises
  • Presentation of the red thread project on visual regression testing

Learning method

  • Courses led by an active expert QA trainer
  • Practical exercises on business cases in visual regression testing
  • Progressive red thread project over 5 days
  • Complete course materials and open-source resources provided

Methods, materials and delivery

The Training Visual Regression Testing - Detect UI Regressions in 2026 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 Visual Regression Testing - Detect UI Regressions in 2026 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 Visual Regression Testing - Detect UI Regressions in 2026 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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