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Training Microservices Architecture 2026 - Scalable API Systems

Ref: USH596
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 days
remote

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Learning objectives

  • Master Microservices Architecture 2026 for resilient professional systems
  • Design advanced APIs tailored to enterprise microservices
  • Implement OpenAPI & Swagger to document and test microservices APIs
  • Develop secure webhooks in distributed microservices ecosystems
  • Optimize scalability and resilience of certifiable microservices architectures
  • Deploy microservices with cloud-native tools to boost skills
  • Integrate advanced patterns for high-performance professional training

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 1Microservices Architecture Fundamentals 2026: Advanced Patterns and API Design (Docker, Kubernetes)

Discover the 2026 evolutions of microservices architectures through patterns like Saga and CQRS, applied to professional API Design. Practice with Docker Compose to decompose a monolith into autonomous services, configure strict API contracts, perform exercises on granular decomposition, produce a deliverable architectural diagram, and test synchronous/asynchronous communication for immediate resilience.

Module 2API Design in Microservices Architecture: OpenAPI & Swagger (Swagger Editor, Postman)

Dive into OpenAPI & Swagger to specify 2026 microservices APIs, integrate complex schemas and automated validations. Use Swagger Editor to generate client/server code, test secure endpoints with Postman, simulate inter-service flows, analyze interactive doc generation, and deploy a first documented API component ready for enterprise integration.

Module 3Advanced Communication in Microservices Architecture: Webhooks and Events (Kafka, RabbitMQ)

Implement secure webhooks and event-driven communication in 2026 microservices architecture for high-performance asynchronous interactions. Configure Kafka and RabbitMQ for scalable pub/sub, develop webhook handlers with HMAC authentication, test failure resilience via retry policies, integrate patterns like Event Sourcing, and validate a complete event flow with integrated monitoring.

Module 4Resilience and Observability in Microservices Architecture: Monitoring and Fault Tolerance (Prometheus, Istio)

Strengthen resilience of 2026 microservices architectures with circuit breakers and Istio service mesh. Deploy Prometheus for centralized metrics, configure automated health checks, simulate chaos engineering scenarios, analyze distributed logs via ELK, optimize API quotas and rate limiting, and produce a deliverable observability dashboard for professional production supervision.

Module 5Deployment and Security in Microservices Architecture 2026: Cloud-Native and CI/CD (Helm, GitHub Actions)

Finalize deployment of a complete 2026 microservices architecture using Helm charts and GitHub Actions for advanced CI/CD. Secure APIs with mTLS and OAuth2, migrate to hybrid serverless options, automate end-to-end tests, integrate zero-trust policies, deploy on multi-cluster Kubernetes, and deliver a certifiable project with an evolutionary roadmap for the enterprise.

Evaluation method

  • Daily technical quizzes on OpenAPI and webhooks
  • Real-world case studies on microservices architecture
  • Final project: deployment of a scalable API system with certification

Learning method

  • Active pedagogy with 70% hands-on practice
  • Exercises on real cases from Fortune 500 companies
  • Replay videos and unlimited post-training resources
  • Personalized feedback from Qualiopi certified experts

Methods, materials and delivery

The Training Microservices Architecture 2026 - Scalable API Systems 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 Microservices Architecture 2026 - Scalable API Systems 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 Microservices Architecture 2026 - Scalable API Systems 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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