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Training Compute Engine - Optimising Scalable VMs on GCP

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: XDX427

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without expert mastery of Compute Engine, your GCP infrastructures generate 40% unnecessary cost overruns from suboptimal resources, with average downtimes of 4h per month costing 15k€ in revenue losses for an SMB.
68% of cloud breaches in 2024 come from poorly secured VMs, exposing customer data and GDPR fines up to 4% CA.
Untrained teams lose 25% productivity on debugging, widening the competitive gap against agile rivals.
Every quarter without Compute Engine expertise risks your cloud competitiveness.

Trusted by — schools, companies and industrial groups

25,719 programs · 25 countries

Every program built with a dedicated engineer

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

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

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, 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

A child walking to school with a backpack

Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

Backpack, notebooks and essential supplies
Distributed through our partner charities
Included, at no extra cost to you

Enroll and offer a kit

FAQ

Frequently asked questions

Which tools are used in Compute Engine training?+

Hands-on work runs on gcloud, YAML, MIG, modules, GCP providers and preemptible. Those tools come from the Compute Engine program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.

What can participants do after Compute Engine training?+

They can master advanced Compute Engine configurations for professional VMs, deploy scalable and high-availability instances in enterprise environments and optimise costs and performance of Compute Engine resources for certification. Those are the stated objectives of the Compute Engine program at Expert level, checked by the end-of-session assessment.

What does the Compute Engine program cover, day by day?+

Day 1: Architecture: Designing Scalable Compute Engine Instances (gcloud, YAML, MIG). Day 2: Automation: Deploying Compute Engine with Terraform (modules, GCP providers). Day 3: Performance: Optimising Compute Engine for Critical Workloads (preemptible, snapshots). Day 4: Security: Securing Compute Engine in Depth (IAM, firewall, shielding). Day 5: HA and Monitoring: Orchestrating Resilient Compute Engine Clusters (MIG, Cloud Logging). The Compute Engine program runs over 5 days, delivered on site.

How is Compute Engine training assessed?+

Assessment relies on expert multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises and audits and defense of the Compute Engine capstone project in front of the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Compute Engine program, which an L&D team can file as evidence.

How much does Compute Engine training cost per participant?+

Compute Engine training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Compute Engine training take?+

5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.

Who pays for Compute Engine training?+

Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.

What do participants need to know before Compute Engine training?+

Solid experience in GCP, advanced Linux, TCP/IP networking, and Bash/Python scripting.

Is a certificate issued after Compute Engine training?+

Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.

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