Training Gherkin 2026 - Specifying BDD Tests for Data Science

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: UKX792
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without Gherkin 2026 mastery, 70% of data science projects fail in the testing phase, resulting in average losses of 250k€ per failing ML pipeline according to Gartner 2025.

  • Novice data teams waste 40% of their time on manual debugging without structured BDD, slowing statistical innovation and exposing the company to GDPR regulatory risks on biased models.

  • Your career stagnates without certified skills in data specs, facing +35% demand for BDD ML experts by 2026.

  • Invest now to secure your data projects and accelerate promotions.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,120 programs · 25 countries

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

Every program built with a dedicated engineer

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

Gherkin training objectives

  • Master the Gherkin 2026 syntax for writing BDD scenarios in data science
  • Develop professional skills in specifying tests for ML pipelines
  • Implement data user stories with Scikit-learn and R through certified training
  • Design feature files adapted to company data projects
  • Optimize automated BDD tests for robust statistical models
  • Acquire certified skills in data BDD to boost your career

Program

Gherkin curriculum: 4 modules over 4 days

Module 1 : Gherkin 2026 Fundamentals: Syntax and Data User Stories (Scikit-learn Intro)

Discover the Given-When-Then syntax of Gherkin 2026 adapted to data science projects, write your first user stories for ML pipelines with Scikit-learn, practice on real datasets to identify relevant data features, build simple feature files integrating basic statistics, manually test your scenarios in pairs to validate professional clarity, receive immediate pedagogical feedback to anchor beginner skills.

Module 2 : Gherkin 2026 Scenarios: BDD Tests for R Models and Stats (Cucumber Setup)

Dive into complex Gherkin 2026 scenarios for testing R models in data science, set up Cucumber with data-specific hooks, write backgrounds for recurring statistical workflows, apply data tables examples to linear regressions, simulate end-to-end tests on predictive pipelines, analyze BDD failures for rapid debugging, produce deliverables ready for CI/CD integration in data companies.

Module 3 : Advanced Gherkin 2026: Data Tables and Tags for Scikit-learn (Stats Exercises)

Master Gherkin 2026 data tables to parameterize Scikit-learn hyperparameters, tag scenarios by statistical criticality in data science, integrate Python step definitions for cross-validations, practice on real ML classification cases, optimize scenarios with @smoke and @regression data tags, collaborate in teams to refine collective feature files, generate automated BDD reports for company audits.

Module 4 : Gherkin 2026 Projects: Full Data BDD Integration (Certifying Deliverables)

Complete a full Gherkin 2026 project on end-to-end Scikit-learn and R pipelines, specify Given-When-Then for ML ops deployment, automate BDD tests with Behave or SpecFlow data, conduct agile peer-review of code, measure statistical coverage via integrated tools, prepare a professional certifying portfolio, conclude with Q&A on implementation in data science companies.

How Gherkin skills are assessed

  • Daily interactive quizzes on Gherkin 2026 data syntax
  • Practical case studies with Scikit-learn and R BDD
  • Final certifying project: tested pipeline and portfolio deliverable

How the Gherkin course is taught

  • Active pedagogy 70% hands-on with real data science datasets
  • Hands-on exercises in Gherkin 2026 with Scikit-learn and R tools
  • Personalized feedback in small groups of max 10
  • Real business cases to anchor professional skills

Gherkin training: access and practical arrangements

The Training Gherkin 2026 - Specifying BDD Tests for Data Science 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 Gherkin 2026 - Specifying BDD Tests for Data Science 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 Gherkin 2026 - Specifying BDD Tests for Data Science 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

How Learni guarantees the quality of your Gherkin training

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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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

Gherkin: frequently asked questions

Which tools are used in Gherkin 2026 training?+
Hands-on work runs on scikit-learn Intro, cucumber Setup, stats Exercises and certifying Deliverables. Those tools come from the Gherkin 2026 program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Gherkin 2026 training?+
They can master the Gherkin 2026 syntax for writing BDD scenarios in data science, develop professional skills in specifying tests for ML pipelines and implement data user stories with Scikit-learn and R through certified training. Those are the stated objectives of the Gherkin 2026 program at Beginner level, checked by the end-of-session assessment.
What does the Gherkin 2026 program cover, day by day?+
Day 1: Gherkin 2026 Fundamentals: Syntax and Data User Stories (Scikit-learn Intro). Day 2: Gherkin 2026 Scenarios: BDD Tests for R Models and Stats (Cucumber Setup). Day 3: Advanced Gherkin 2026: Data Tables and Tags for Scikit-learn (Stats Exercises). Day 4: Gherkin 2026 Projects: Full Data BDD Integration (Certifying Deliverables). The Gherkin 2026 program runs over 4 days, delivered on site.
How is Gherkin 2026 training assessed?+
Assessment relies on daily interactive quizzes on Gherkin 2026 data syntax, practical case studies with Scikit-learn and R BDD and final certifying project: tested pipeline and portfolio deliverable. Learni issues a completion certificate together with the individual assessment report at the end of the Gherkin 2026 program, which an L&D team can file as evidence.
How much does Gherkin 2026 training cost per participant?+
Gherkin 2026 training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Gherkin 2026 training take?+
4 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 Gherkin 2026 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 Gherkin 2026 training?+
Basics in Python or R, knowledge of data analysis, agile environment in the company.
Is a certificate issued after Gherkin 2026 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 Gherkin 2026 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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