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AVIROwork Programs

Google Cloud Engineer

Design, deploy, and manage scalable, reliable cloud infrastructure and deployment pipelines on Google Cloud Platform. 10 weeks of instructor-led live training, project bootcamp, and CV marketing until you are hired.

0
hours of live training
0 weeks
at one hour a day, weekdays
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modules
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topics covered

Before you start

Beginner-friendly. If you are not sure whether that describes you, the consultation exists to answer exactly that — and to tell you if a different programme is the better start.

Price

Canada $1,000
United Kingdom & EU £500
India ₹49,999

Tax included — the price shown is the price you pay. This covers the training stage. The bootcamp and placement stages are priced separately.

Google Cloud Engineer Course Live Instructor-Led
Google Cloud Track Beginner to Pro
Compute Engine Compute & VPC GKE GKE Kubernetes Terraform Terraform IaC SRE SRE & Ops
Book Free Consultation
Structured Roadmap

A module-by-module breakdown

4 modules  •  24 topics covered

Everything covered in the program, in the order you'll cover it.

01 GCP Foundations & IAM

12 hours

Projects, identity and the billing model

Resource hierarchy: org, folder, project
IAM roles, service accounts & workload identity
VPC networks, subnets & firewall rules
Cloud Storage classes & lifecycle
Billing, budgets & committed use discounts
Cloud Logging & Cloud Monitoring

02 Compute & Kubernetes

15 hours

Run workloads on GCP

Compute Engine instances & machine types
Managed instance groups & autoscaling
Cloud Load Balancing
Google Kubernetes Engine & Autopilot
Cloud Run & Cloud Functions
Artifact Registry & container builds

03 Data & Storage Services

8 hours

Pick the right store

Cloud SQL & AlloyDB
Firestore & Bigtable
BigQuery for analytics
Memorystore caching
Backup, PITR & DR strategy
Migration with Database Migration Service

04 Automation & Reliability

15 hours

Operate it without clicking

Terraform on GCP
Cloud Build CI/CD pipelines
Deployment strategies & rollbacks
SRE practice: SLIs, SLOs & error budgets
Incident response & alerting policies
Associate Cloud Engineer exam preparation

The AVIROwork 4-Stage Placement Pathway

Every AVIROwork program follows a proven four-stage pathway engineered to take career switchers from zero experience through to placed UK tech professionals:

Stage 1

Live Training

50 hours of instructor-led evening and weekend classes led by senior UK Google Cloud infrastructure architects.

Stage 2

Project Bootcamp

Build production-grade GKE clusters, multi-region networks, and Terraform IaC that get peer reviewed.

Stage 3

CV Marketing

Technical cloud engineering CV rewrite, LinkedIn branding, and production GitHub portfolio polish.

Stage 4

Placement Support

Direct candidate introduction to employer networks and technical interview drills until hired.

Hands-On Portfolio

Five projects, in Google Cloud Engineer

The bootcamp runs the same five stages whatever you enrolled in, so the portfolio you finish with is deep in one technology rather than shallow across several. Each is scoped, designed, built and reviewed.

01

01 · Foundations

A first build that puts the core concepts to work — environments configured, the basic workflows exercised, the fundamentals proven rather than assumed.

02

02 · Multiple moving parts

A larger solution with several components and an integration or two, applying the practices that are conventional in your stack rather than improvising.

03

03 · Architecture that scales

A design-led build: scalability, monitoring and the production-grade patterns your field actually uses, decided before they are implemented.

04

04 · An enterprise scenario

A realistic situation with services that depend on each other, security to harden and performance to tune — the kind of work that is waiting on the other side of the offer.

05

05 · Capstone

End to end, everything together: planned, designed, built, deployed and documented well enough to sit at the top of your GitHub profile.

What's included

Everything in the programme

The same seven things in every programme on the site — the subject is what changes.

Live training

Taught live by a practitioner, not pre-recorded video you work through alone.

50 hours

Per programme as standard — 60 for IT Support Analyst, 70 for the AI Consultant and cloud engineering tracks.

Projects

Five briefs in your own stack, each scoped, designed, built and reviewed the way a delivery team would.

Mentoring

One mentor who stays with you for the whole programme, rather than whoever is free that week.

Resume & LinkedIn

Both rewritten around the work you actually built, and positioned for the roles you are targeting.

Interview prep

Mock interviews on the technical and the competency side, including defending the projects you built.

Placement support

Your profile put in front of employers, and the search continues until you are hired.

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