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Training Compute Engine - Optimising Scalable VMs on GCP

Ref: XDX427
10 people max.
7000€ 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 advanced Compute Engine configurations for professional VMs
  • Deploy scalable and high-availability instances in enterprise environments
  • Optimise costs and performance of Compute Engine resources for certification
  • Implement Infrastructure as Code (IaC) automation with Terraform on Compute Engine
  • Configure advanced security and monitoring for critical projects
  • Develop skills in managing Compute Engine clusters on GCP

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 1Architecture: Designing Scalable Compute Engine Instances (gcloud, YAML, MIG)

Dive into the expert architecture of Compute Engine by creating custom instances via gcloud CLI and YAML files, configure Managed Instance Groups (MIGs) for automatic scaling, explore N2, C3, and GPU machine types for intensive workloads, perform practical exercises on an e-commerce enterprise case with peak traffic simulation, produce a reusable and production-optimized infrastructure blueprint.

Module 2Automation: Deploying Compute Engine with Terraform (modules, GCP providers)

Master Infrastructure as Code for Compute Engine by implementing custom Terraform modules, deploy instance fleets with integrated load balancers, integrate environment variables and Secret Manager for security, test on real DevOps scenarios like a CI/CD pipeline, generate execution plans and apply them live, validate with detailed outputs for quick recovery in case of failback.

Module 3Performance: Optimising Compute Engine for Critical Workloads (preemptible, snapshots)

Optimise VM performance in Compute Engine by configuring preemptible instances for savings up to 80%, manage incremental snapshots and persistent disks SSD/NVMe, analyse Cloud Monitoring metrics for CPU/RAM tuning, apply committed use discounts on real big data cases, perform before/after benchmarks with tools like sysbench, produce an optimisation report quantifying gains in latency and costs.

Module 4Security: Securing Compute Engine in Depth (IAM, firewall, shielding)

Strengthen advanced security in Compute Engine with custom IAM policies and granular service accounts, configure dynamic VPC firewall rules and Confidential VMs for sensitive data, implement OS Login and Shielded VMs for anti-rootkit protection, simulate zero-day attacks on your GCP lab, audit with Security Command Center, deploy a comprehensive hardening plan with checklists and automations for GDPR compliance in enterprise.

Module 5HA and Monitoring: Orchestrating Resilient Compute Engine Clusters (MIG, Cloud Logging)

Orchestrate high availability with autohealing Managed Instance Groups on Compute Engine, integrate Cloud Logging and Operations Suite for proactive alerts, migrate legacy workloads to multi-zone setups, test real-time failover on disaster recovery scenarios, finalise a capstone project with a custom dashboard, export configurations to Git for continuous CI/CD, gain certification-level skills for managing critical production infrastructure.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises and audits
  • Defense of the Compute Engine capstone project in front of the trainer

Learning method

  • Courses led by an active certified GCP expert trainer
  • Practical exercises on real GCP enterprise cases
  • Progressive capstone project on Compute Engine
  • Complete course materials and GCP resources provided

Methods, materials and delivery

The Training Compute Engine - Optimising Scalable VMs on GCP 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 Compute Engine - Optimising Scalable VMs on GCP 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 Compute Engine - Optimising Scalable VMs on GCP 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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