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.
Learning objectives
- Master MSW for simulating web services in certified professional training.
- Develop advanced MSW handlers tailored to enterprise Python backends.
- Implement realistic mocks to effectively test Django and Flask applications.
- Optimize testing workflows with MSW at an intermediate skill level.
- Design mocking scenarios for CI/CD in professional environments.
- Deploy MSW in production-like settings to validate Python development skills.
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.
Program
Module 1MSW Fundamentals: Installation and Basic Handlers (Python/Django Integration)
Discover MSW through quick installation in a Node.js environment coupled with Python, configure first handlers to mock Django endpoints, perform practical exercises on simulated REST APIs, test realistic JSON responses with tools like Jest, produce your first functional mocks by end of day to validate basics in professional training.
Module 2Advanced MSW: Conditions and Persistence (Flask & FastAPI Mocks)
Dive into advanced MSW conditions for dynamic responses tailored to Flask, implement mock persistence with local storage, practice on concrete FastAPI API cases, integrate delays and simulated errors for robust tests, generate coverage reports using debugging tools, consolidate intermediate skills via a guided project.
Module 3MSW Integration: E2E Tests and CI/CD (Enterprise Python Scenarios)
Integrate MSW with testing frameworks like Cypress to validate Python front-back interactions, configure GitHub Actions workflows with persistent mocks, develop multi-user scenarios on Django/Flask, analyze mock performance in real conditions, optimize for remote environments, deliver a team-testable prototype to strengthen certified professional skills.
Module 4MSW 2026 Optimization: Best Practices and Deployment (Advanced Deliverables)
Master MSW 2026 new features for optimal scalability, apply best practices to complex Python projects, deploy MSW workers in GraphQL and WebSocket mode, evaluate impact on test speed via precise metrics, finalize a portfolio of reusable mocks, obtain personalized feedback for immediate skill advancement in enterprise.
Evaluation method
- Daily interactive quizzes on MSW and Python integrations.
- Practical projects evaluated by Qualiopi-certified experts.
- Final exam with intermediate MSW skills certification.
Learning method
- Active pedagogy with 70% hands-on practice on MSW and Python backends.
- Real-world exercises inspired by Django/Flask in enterprise settings.
- Unlimited post-training video support for reinforcement.
- Groups limited to 10 for personalized support.
Methods, materials and delivery
The Training MSW (Mock Service Worker) 2026 - Mastering Advanced API Mocks 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 (Mock Service Worker) 2026 - Mastering Advanced API Mocks 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 (Mock Service Worker) 2026 - Mastering Advanced API Mocks 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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