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Training MSW - Mastering Network Mocks for Advanced Tests

Ref: IJC493
10 people max.
7000€ 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 MSW for creating realistic network mocks
  • Develop advanced handlers for testing complex APIs in enterprise settings
  • Implement MSW in CI/CD environments for certified skills
  • Optimize end-to-end tests with MSW and tools like Cypress or Playwright
  • Design error and performance simulation scenarios for real projects
  • Integrate MSW with React Testing Library for robust interfaces
  • Deploy scalable MSW solutions in production and maintenance

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 1MSW Configuration: Initialize Isolated Mock Environments (CLI, Vite, Bundlers, CI/CD)

Dive into expert MSW installation via CLI and seamless integration with Vite, Webpack, or Create React App. Configure workers for browser and Node.js, create your first simple REST handlers on mocked APIs, test in real-time with Jest and Vitest, and complete practical exercises on a real enterprise project to validate immediate network isolation and boost productivity from day one.

Module 2Advanced MSW Handlers: Simulate REST, GraphQL, and Custom Requests (Regex, Predicates)

Master REST and GraphQL handlers with MSW for dynamic mock responses. Use predicates and regex for precise conditional scenarios, integrate transformers to modify payloads on the fly, apply to concrete e-commerce or dashboard API cases, produce robust unit tests with detailed logs, and transform your skills into ultra-efficient development tools for impeccable professional deliverables.

Module 3MSW Framework Integration: React Testing Library, Cypress, Playwright (E2E Scenarios)

Integrate MSW seamlessly into React Testing Library to test connected components without a real backend. Pair with Cypress and Playwright for realistic E2E flows, simulate latencies and browser caching, develop collaborative team test suites, analyze coverage metrics via MSW browser UI, build an ongoing SPA mock project, and discover how to boost DevOps sprint velocity in enterprise settings.

Module 4Complex MSW Scenarios: Errors, Delays, Persistence, Custom Workers (Performance)

Simulate HTTP 4xx/5xx errors, timeouts, and unstable networks with MSW for resilient tests. Implement persistence via localStorage and IndexedDB, optimize workers for high performance in CI/CD, manage global mock states with Zustand or Redux, apply to secure fintech use cases, generate automated simulation reports, and acquire expert skills to anticipate failures and scale tests in production without interruptions.

Module 5MSW Best Practices: Production-Like Deployment, Monitoring, Certification Project (Enterprise Optimization)

Adopt MSW best practices for production-like environments with monitoring via MSW API. Optimize for micro-frontends and PWAs, integrate with GitHub Actions or Jenkins pipelines, review your complete ongoing project with expert code review, prepare reusable templates for your enterprise, validate via MCQ and defense for certification, and leave with a concrete portfolio to advance your career in advanced testing.

Evaluation method

  • Technical MCQ on MSW and advanced handlers at the end of the training
  • Continuous assessment through exercises and ongoing practical project
  • Oral defense of custom MSW scenario before the expert trainer

Learning method

  • Sessions led by a certified MSW trainer in active professional practice
  • Hands-on exercises on real business cases and complex APIs
  • Progressive 5-day ongoing MSW project with personalized feedback
  • Complete digital course materials and ready-to-use MSW templates

Methods, materials and delivery

The Training MSW - Mastering Network Mocks for Advanced 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 MSW - Mastering Network Mocks for Advanced 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 MSW - Mastering Network Mocks for Advanced 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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