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Training GKE 2026 - Optimize Kubernetes on Google Cloud

Ref: BXR989
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master autonomous GKE clusters and Anthos for professional certifying deployments
  • Develop enterprise scalability and high availability optimization strategies
  • Configure advanced GKE security policies to protect critical workloads
  • Implement Helm charts and custom operators in GKE 2026
  • Optimize costs and performance via GKE monitoring and intelligent autoscaling
  • Deploy multi-cloud workloads with GKE to strengthen DevOps competencies
  • Integrate GKE into CI/CD pipelines to accelerate continuous delivery in 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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced GKE Clusters: Autonomous and Managed Configuration (gcloud, kubectl, Terraform)

Dive into creating GKE 2026 clusters via advanced gcloud and kubectl CLI, configure custom node pools with GPU/TPU acceleration, implement VPC-native networking and internal load balancers, perform practical exercises on stateful workloads via StatefulSets, generate idempotent manifests with Terraform for IaC, test resilience via basic chaos engineering, produce a production-ready cluster blueprint usable immediately in enterprise.

Module 2GKE Security and Networking: Istio, Network Policies, Workload Identity (GCP IAM)

Explore zero-trust security policies with NetworkPolicies and Istio service mesh on GKE, configure Workload Identity for GCP access without secret keys, implement mTLS and authorization via Gatekeeper, practice audits with Falco and OPA, deploy Envoy sidecars for traffic management, simulate attacks and responses via red team exercises, deliver a secure GKE setup compliant with GDPR and SOC2 for critical environments.

Module 3GKE Helm & Operators Orchestration: Autoscaling, Monitoring (Prometheus, Cloud Monitoring)

Master Helm 3+ for enterprise-ready charts on GKE 2026, deploy custom operators via Operator Lifecycle Manager, configure HPA/VPA and cluster autoscaler for dynamic scaling, integrate Prometheus/Grafana with GCP Cloud Monitoring, optimize storage via CSI drivers and dynamic PersistentVolumes, complete a full lab on monolith-to-microservices migration, produce custom dashboards and predictive alerts for immediate ROI.

Module 4GKE 2026 Production: Anthos Multi-Cloud, GitOps CI/CD, Cost Optimization (FinOps)

Integrate GKE into Anthos for seamless hybrid/multi-cloud, implement GitOps with ArgoCD and Flux on GKE, automate CI/CD via Cloud Build and Tekton pipelines, apply FinOps to reduce cluster costs by up to 40%, test disaster recovery with Velero backups, deploy a concrete scalable e-commerce case, finalize with a capstone project deliverable including performance report, ready for Google Cloud expert certification.

Evaluation method

  • Advanced Kubernetes/GKE quizzes with 85% validation threshold
  • Real-world case studies on production cluster optimization
  • Final project: complete GKE deployment with defense-in-depth

Learning method

  • 70% hands-on practice on real GCP labs with dedicated clusters
  • 30% theory via Fortune 500 enterprise case studies
  • Pair-programming exercises and timed challenges
  • 6-month post-training support with Git repo access

Methods, materials and delivery

The Training GKE 2026 - Optimize Kubernetes on Google Cloud 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 GKE 2026 - Optimize Kubernetes on Google Cloud 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 GKE 2026 - Optimize Kubernetes on Google Cloud 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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