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Training Mocha - Advanced Automated JavaScript Tests

Ref: LCM259
10 people max.
6125€ 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 Mocha for scalable professional tests in enterprise environments
  • Develop TDD/BDD skills with Mocha and advanced assertions
  • Implement asynchronous tests and complex mocks in certifying training
  • Optimize code coverage and CI/CD integration with Mocha
  • Design robust test suites for Node.js/reactive applications
  • Deploy secure automated test pipelines in production

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 Configuration: Advanced Environments and Custom Hooks (Node.js, Reporters)

Advanced installation and configuration of Mocha in professional Node.js projects, hands-on with before/after hooks for automated setup/teardown, exploration of HTML/Mocha-JUnit reporters for enterprise reports, practical exercises on migrating an existing test suite to optimized Mocha, creation of a red thread project with ready CI configuration, code review by trainer for immediate best practices.

Module 2Asynchronous Mocha Tests: Promises, Async/Await, and Timeouts (Sinon.js Integration)

Expert management of async tests with Mocha using callbacks, promises, and async/await, integration of Sinon.js for realistic spies/stubs in enterprise scenarios, resolution of critical timeouts on long API calls, practical workshops on simulated e2e tests for web apps, advanced debugging with Mocha debugger, production of detailed reports on async performance, highlighting daily development time savings.

Module 3Mocha Mocks and Fixtures: Simulating External Services (API, DB, Advanced Sinon)

Creation of advanced Mocha mocks with Sinon to isolate unit tests without external dependencies, simulation of reliable databases and REST/GraphQL APIs, handling of edge case errors in production contexts, exercises on refactoring legacy code to scalable mocked tests, integration of JSON fixtures for reproducible test data, validation through real enterprise cases, deliverable: 100% autonomous isolated test suite.

Module 4Mocha Coverage and Optimization: Istanbul/NYC for Code Quality (Enterprise Thresholds)

Precise coverage measurement with nyc/istanbul integrated with Mocha, definition of minimum thresholds suited to professional projects, optimization of uncovered branches/loops via targeted exercises, generation of interactive HTML reports for team reviews, workshops on reducing technical debt in tests, application to the red thread project achieving 90% coverage, demonstration of ROI via before/after metrics, boosting continuous deployment confidence.

Module 5Mocha CI/CD Pipelines: GitHub Actions/Jenkins and Best Practices (Production Deployment)

Integration of Mocha into CI/CD pipelines with GitHub Actions and Jenkins for automated execution, configuration of parallel matrices for enterprise test speed, management of artifacts and Slack notifications for failures, practical cases on zero-downtime deployment with validated tests, review of complete red thread project with simulated deployment, sharing of best practices for Mocha scalability in large repos, certification of skills via defense of functional pipeline deliverable.

Evaluation method

  • MCQ to validate advanced Mocha knowledge at the end of training
  • Continuous evaluation through practical exercises and coverage
  • Defense of red thread project: Mocha CI/CD pipeline

Learning method

  • Course delivered by an expert Mocha trainer active in enterprise settings
  • Practical exercises on real-world JavaScript/Node.js testing cases
  • Progressive 5-day certifying red thread project
  • Complete course materials and online Mocha resources

Methods, materials and delivery

The Training Mocha - Advanced Automated JavaScript 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 - Advanced Automated JavaScript 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 - Advanced Automated JavaScript 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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