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Training BFF Backend for Frontend - Optimized APIs for 2026

Ref: PKN210
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 BFF architecture for performant frontend APIs in enterprise settings
  • Design scalable BFFs tailored to professional certifying needs
  • Implement BFF with modern tools for advanced skills
  • Optimize performance and caching in enterprise contexts
  • Integrate security and monitoring for BFF in production deployments
  • Deploy serverless edge-ready BFF for 2026 trends
  • Develop BFF skills through real-world certifying projects

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 1BFF Fundamentals: Modeling Frontend-Adapted APIs (GraphQL, Aggregation Patterns)

In-depth analysis of advanced BFF patterns to resolve traditional API overloads, modeling of federated GraphQL schemas adapted to React/Vue/Angular, practical exercises on real e-commerce case with multi-data aggregation, creation of first Node.js/Express BFF prototype, initial performance tests and collaborative refactoring for immediate latency gains, deliverable: documented production-ready BFF schema.

Module 2BFF Design: Architecting Scalable BFF Microservices (Docker, Kubernetes Basics)

Modular BFF architecture design with frontend-specific microservices decomposition, use of Docker Compose to containerize BFF services, practical workshops on UML/C4 diagrams for enterprise BFF, implementation of intelligent routing and JSON data transformation, horizontal scaling simulation via Kubernetes Minikube, resolution of banking app use cases, deliverable: deployable BFF blueprint with integrated performance metrics.

Module 3BFF Implementation: Coding High-Performance Services (Node.js, Redis Caching)

Hands-on BFF development in Node.js with Fastify for ultra-fast APIs, integration of Redis/Memcached for advanced frontend caching layer, practical exercises on complex real-time payload transformations, resilient error handling with Hystrix-like circuit breakers, unit tests with Jest on complete BFF flows, live debugging sessions on participants' projects, deliverable: robust BFF source code with 95% automated test coverage.

Module 4BFF Security and Performance: Hardening 2026 APIs (OAuth, Rate Limiting)

BFF security reinforcement via JWT/OAuth2 federation and Kong API gateways, implementation of adaptive rate limiting and custom WAF rules, performance optimization with Brotli compression and lazy data loading, workshops on common MITM/SQLi attacks adapted to BFF, monitoring with custom Prometheus/Grafana dashboards, tuning for mobile PWAs, deliverable: secured and benchmarked BFF stable under 10k req/s load.

Module 5BFF Deployment: Cloud-Native 2026 (Serverless, Edge Computing with Vercel)

Serverless BFF deployment on AWS Lambda/Vercel Edge Functions for global latency <50ms, CI/CD with GitHub Actions and blue-green deployments, real-time WebSockets integration via Pusher for 2026 apps, advanced ELK stack monitoring in prod-like environments, exercises on monolith to hybrid BFF migration, final pair-programming code review, deliverable: production-ready BFF deployment pipeline with 99.99% SLA uptime.

Evaluation method

  • Advanced quiz to validate BFF knowledge at end of training
  • Evaluation of personalized practical BFF projects
  • Presentation of red thread BFF architecture with trainer

Learning method

  • Sessions led by active enterprise BFF expert
  • Practical exercises on real e-commerce and banking cases
  • Progressive red thread BFF project over 5 days
  • Full course materials with online resources

Methods, materials and delivery

The Training BFF Backend for Frontend - Optimized APIs for 2026 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 BFF Backend for Frontend - Optimized APIs for 2026 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 BFF Backend for Frontend - Optimized APIs for 2026 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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