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Training Prettier - Optimize Code for Advanced Social Networks

Ref: AOP622
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 Prettier to automatically format JavaScript code in professional social network projects.
  • Develop advanced Prettier configurations integrated with ESLint for certifying teams.
  • Optimize CI/CD pipelines with Prettier to accelerate Social Ads deployments.
  • Implement Prettier in React and Node.js environments for automated community management.
  • Design custom Prettier rules adapted to enterprise standards in social networks.
  • Evaluate Prettier's impact on developer productivity in certifying training.
  • Deploy Prettier for TikTok and Instagram scripts through real business cases.

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 1Prettier Configuration: Advanced Integration with VS Code and ESLint (Git Workflows)

Discover advanced Prettier configurations for VS Code and ESLint, applying custom rules to JavaScript scripts for social networks. Practice installation via npm, test Git hooks for automatic pre-commit formatting, analyze real community management cases with common errors corrected live. Create your .prettierrc file tailored to LinkedIn and Instagram projects, and validate deliverables through a remote team exercise, enhancing your professional certifying skills.

Module 2Custom Prettier Rules: Adaptation to Enterprise Social Network Standards (React/Node.js)

Dive into advanced Prettier customization for React and Node.js, formatting code for Social Ads dashboards and TikTok bots. Explore options like semi, trailingComma, printWidth through hands-on workshops, integrate them into real business projects, measure impact on code readability in teams. Develop Prettier presets for LinkedIn and Instagram, test on concrete cases with immediate feedback, and produce an optimized configuration report as a certifying deliverable for your professional upskilling.

Module 3Prettier Integration in CI/CD: GitHub Actions Pipelines for Social Ads (Automation)

Master Prettier integration in CI/CD pipelines using GitHub Actions and Jenkins, applied to rapid deployments for TikTok and Instagram campaigns. Configure automated steps for linting and formatting, simulate complex team merges, identify style conflicts resolved by Prettier. Practice on private GitHub repos dedicated to social networks, generate status badges, and export workflows as enterprise-ready deliverables, boosting your expertise in remote certifying training.

Module 4Prettier in Social Network Teams: Advanced Collaboration and Conflict Resolution (Multi-Tools)

Deepen collaboration with Prettier in social network contexts, managing conflicts on LinkedIn and TikTok projects via VS Code Live Share. Test multi-developer scenarios with formatted diffs, integrate Prettier with Webpack and Babel for optimized builds, analyze performance on large Social Ads code volumes. Resolve real business cases, produce team guidelines, and validate through a remote hackathon, delivering a certifying Prettier template for your advanced professional skills.

Module 5Advanced Prettier Optimization: Performance and Scaling for Social Network Enterprises (Case Studies)

Optimize Prettier for scalable social network projects, benchmarking performance on monorepos and massive scripts for Instagram and TikTok. Implement advanced caches and ignores, measure time/team gains using tools like hyperfine, apply to real enterprise community management case studies. Finalize with a remote capstone project including GitHub deployment, generate a certifying Prettier portfolio, and receive personalized feedback to anchor your durable professional skills.

Evaluation method

  • Daily interactive quizzes on Prettier configurations and social media cases to validate immediate learning.
  • Final team project: Prettier pipeline for Social Ads campaign, graded on professional criteria.
  • Qualiopi certifying attestation delivered post-training, with concrete deliverables portfolio.

Learning method

  • 80% hands-on approach: Prettier workshops on real social network codes, guided exercises.
  • Real business cases: TikTok scripts, LinkedIn dashboards formatted live.
  • Continuous feedback: remote Q&A sessions, personalized corrections by experts.
  • Post-training resources: Prettier templates, replay videos for self-review.

Methods, materials and delivery

The Training Prettier - Optimize Code for Advanced Social Networks 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 Prettier - Optimize Code for Advanced Social Networks 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 Prettier - Optimize Code for Advanced Social Networks 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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