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Training Mocha 2026 - Advanced High-Performance JS Tests

Ref: YNP868
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 expert configurations of Mocha 2026 for scalable professional tests in enterprise environments.
  • Develop advanced test suites integrating custom hooks and reporters in a certifying training program.
  • Optimize Mocha 2026 performance with parallelism and caching for competitive skills.
  • Implement hybrid end-to-end tests combining Mocha 2026 with Selenium and Cypress in professional contexts.
  • Design advanced mocking strategies and coverage for optimal test coverage in teams.
  • Deploy automated CI/CD pipelines with Mocha 2026, Jest, and JUnit to accelerate enterprise releases.
  • Acquire certifying skills in expert debugging and Mocha 2026 best practices for technical leaders.

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 1Mocha 2026 Configuration: Expert Setup and Advanced Hooks (Node.js, Custom CLI)

Discover expert configurations of Mocha 2026 through practical workshops on Node.js, install custom runners and personalized before/after hooks, configure advanced reporter interfaces like Spec or Dot with dynamic colors, test multi-project environments, generate initial reports and optimize timeouts for robust suites, while integrating npm scripts for immediate enterprise productivity.

Module 2Mocha 2026 Unit Tests: Expert Assertions and Advanced BDD (async/await, generators)

Dive into expert assertions of Mocha 2026 with extended chai.js, implement expert BDD describe/it suites handling async/await and generators, code tests for complex REST APIs, manage promise errors with automated retries, practice on real Node.js application cases, analyze code coverage via nyc, and produce deliverables ready for GitHub Actions, strengthening your professionally certifying skills.

Module 3Mocha 2026 Optimization: Parallelism and Caching (x10 Performance, Optimized Memory)

Optimize Mocha 2026 for ultra-high performance by activating native parallelism with mocha-parallel, configure intelligent caching for recurrent tests, reduce execution times by 70% on large projects, integrate multiple workers with file partitioning, test on massive datasets, measure gains via custom benchmarks, deploy configs for CI/CD, and export metrics for enterprise dashboards through immersive practical exercises.

Module 4Mocha 2026 Integrations: Selenium, Cypress, and Jest Hybrids (Cross-Browser E2E)

Integrate Mocha 2026 with Selenium for advanced WebDriver tests, hybridize with Cypress and Playwright for smooth E2E, merge with Jest and JUnit for unified reports, code cross-browser scenarios for Chrome/Firefox, manage flakiness via intelligent retries, simulate production environments with Docker, produce video/screenshot artifacts, and configure live-reload watchers, applied to real case studies for professional certifying mastery.

Module 5Mocha 2026 Deployment: Expert CI/CD and Debugging (GitLab Pipelines, 100% Coverage)

Deploy complete CI/CD pipelines with Mocha 2026 on GitHub Actions, GitLab CI, and Jenkins, integrate coverage thresholds at 95% via istanbul, master expert debugging with --inspect and custom stack traces, automate PR merges with status checks, generate shields.io badges, test scalable microservices, finalize a deliverable capstone project, and receive your Qualiopi certifying attestation to boost your career in automated testing.

Evaluation method

  • Daily interactive quizzes on Mocha 2026 to validate expert knowledge gains.
  • Real-world case studies with personalized feedback from certified trainers.
  • Final certifying project: complete CI/CD pipeline deployed live.

Learning method

  • 80% hands-on active pedagogy on Mocha 2026 in interactive remote format.
  • Hands-on exercises with real source code and shared environments.
  • 3-month post-training support via dedicated Slack and video resources.
  • Qualiopi certification recognized for CPF/OPCO enterprise funding eligibility.

Methods, materials and delivery

The Training Mocha 2026 - Advanced High-Performance JS Tests 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 Mocha 2026 - Advanced High-Performance JS Tests 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 Mocha 2026 - Advanced High-Performance JS Tests 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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