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Training GKE - Orchestrating Scalable Workloads on Google Cloud

Ref: RZB908
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 expert configuration of GKE clusters for scalable production environments.
  • Optimize automated deployments with Helm and Kubernetes on GKE in enterprise settings.
  • Develop certifiable skills in GKE monitoring and scaling for high availability.
  • Implement advanced security strategies on GKE tailored to professional needs.
  • Design hybrid GKE architectures for smooth and performant cloud migrations.
  • Deploy native GKE CI/CD pipelines to boost DevOps team productivity.

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 1GKE Architecture: Advanced Clusters and Networking (GCP, Istio, VPC)

Dive into expert GKE architecture with multi-zone cluster creation, advanced networking configuration via VPC and Istio for service mesh, hands-on exercises with kubectl and gcloud to scale nodes, analysis of real enterprise cases with diagrams and deliverables like a functional HA cluster, cost optimization from day one for critical workloads.

Module 2GKE Deployment: Helm Charts and Operators (Kubernetes, Docker Images)

Master Helm for packaging and deploying complex applications on GKE, create custom charts with advanced values.yaml, integrate Kubernetes operators for stateful apps, hands-on workshops on pushing secure Docker images via Artifact Registry, simulate blue-green rollouts, produce reusable templates tested live to accelerate DevOps cycles in production.

Module 3GKE Scaling: Autoscaling and Workloads (HPA, Cluster Autoscaler, Knative)

Explore horizontal and vertical autoscaling on GKE with HPA, VPA, and Cluster Autoscaler, implement Knative for serverless Kubernetes, exercises on tuning CPU/Memory resources for microservices, enterprise case study managing traffic spikes at 99.99% uptime, deliverables including custom Grafana dashboards and ready-to-deploy automated scaling policies.

Module 4GKE Security: RBAC, Network Policies, and Encryption (OPA Gatekeeper, GKE Sandbox)

Strengthen expert security on GKE with granular RBAC, Calico Network Policies, and OPA Gatekeeper for policy-as-code, configure GKE Sandbox and at-rest/transit encryption, hands-on labs on Pod Security Standards audits, simulate zero-day attacks blocked, generate GDPR/ISO-compliant reports for enterprises, focus on zero-trust architecture with Istio mTLS enabled.

Module 5GKE Monitoring: Observability and CI/CD (Cloud Operations, Cloud Build, Terraform)

Integrate Cloud Operations for GKE monitoring with custom SLO/SLI, set up Cloud Build for native CI/CD pipelines, IaC with Terraform for GKE, workshops on Prometheus alerting and Jaeger tracing, capstone project of an end-to-end observed GKE cluster, deliverables like Alertmanager dashboards and incident response playbooks, skills certification validated by quiz and live demo.

Evaluation method

  • Daily interactive quizzes on advanced GKE concepts.
  • Real case studies with oral presentations in remote format.
  • Final project: complete and graded GKE cluster deployment.

Learning method

  • 70% hands-on: GKE labs on Google Cloud Playground.
  • 30% theory: expert DevOps experience feedback.
  • Agile method: short iterations with continuous feedback.
  • Support: session replays and post-training resources.

Methods, materials and delivery

The Training GKE - Orchestrating Scalable Workloads 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 - Orchestrating Scalable Workloads 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 - Orchestrating Scalable Workloads 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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