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Enterprise Training Associate Cloud Engineer

Engineer on Google Cloud

Hands-on Google Cloud training for engineering and data teams, from secure foundations to containers, serverless and analytics.

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Program overview

Production-ready skills on Google Cloud

Role-based training that takes teams from project and IAM design through Kubernetes, serverless and BigQuery analytics, delivered in guided sandbox environments.

  • Set up projects, IAM and networking correctly from the start
  • Deploy on Compute Engine, GKE and Cloud Run
  • Query and manage data with BigQuery and Cloud Storage
Google Cloud Platform (GCP) program overview

Who this is for

Cloud and DevOps engineers
Platform and infrastructure teams
Developers building cloud-native apps
Data teams working with BigQuery
Capability outcomes

What your team will be able to do

Skills that transfer straight into day-to-day project work.

6core capabilities
OUTCOME 01

Compute Engine

Create, scale and manage virtual machines and instance groups.

OUTCOME 02

Containers and GKE

Deploy and operate Kubernetes workloads on GKE.

OUTCOME 03

Serverless

Ship services quickly with Cloud Run and Cloud Functions.

OUTCOME 04

Data and BigQuery

Store, load and query data at scale.

OUTCOME 05

IAM and security

Manage access, service accounts and organisation policies.

OUTCOME 06

Operations

Monitor, log and troubleshoot with Cloud Operations.

Curriculum

How the program is structured

Module 01

Getting started with Google Cloud

  • Organisation, folders and projects
  • Billing accounts and budgets
  • IAM roles and service accounts
  • Cloud Console and gcloud
  • Hands-on lab
    set up a secure project
Module 02

Compute and networking

  • Compute Engine and managed instance groups
  • VPC networks and firewall rules
  • Load balancing
  • Cloud DNS and VPN basics
Module 03

Containers and serverless

  • Docker and Artifact Registry
  • Google Kubernetes Engine
  • Cloud Run deployments
  • Cloud Functions
  • Hands-on lab
    deploy an app on GKE
Module 04

Storage and data

  • Cloud Storage classes and lifecycle
  • Cloud SQL and Firestore
  • BigQuery datasets and queries
  • Pub/Sub fundamentals
Module 05

Operations and exam readiness

  • Cloud Monitoring and Logging
  • Infrastructure as code with Terraform
  • Cost control and quotas
  • Practice assessments and mock exam

Swipe to switch modules

Hands-on practice

Learn by building

Concepts are applied through guided exercises, so your team practises on the same platforms and tools used on real projects.

Platforms and tools

Google Cloud Consolegcloud CLICompute EngineGKECloud RunBigQueryTerraformCloud Monitoring
2guided labs in this program
01
Module 01 · Getting started with Google Cloudset up a secure project
02
Module 03 · Containers and serverlessdeploy an app on GKE
Engagement model

From skills assessment to lasting capability

  1. Before

    Assess

    We review your team skills and the outcomes the business needs.

  2. Planning

    Tailor

    Scope, labs and schedule are aligned to your roles and stack.

  3. Delivery

    Deliver

    Instructor-led sessions with hands-on labs and live Q&A.

  4. After

    Sustain

    Progress reporting and follow-up support to embed the skills.

Delivered your way

Virtual

Live instructor-led sessions delivered online.

Best for: Teams across locations or time zones

On-site

Delivered at your office or a training venue.

Best for: Teams that want focus away from daily work

Hybrid

A mix of in-person and virtual sessions.

Best for: Larger groups split across locations

Private batches

Cohorts built around your team and schedule.

Best for: Teams that need a custom timeline
Request a proposal
Certification alignment

Associate Cloud Engineer

Aligned to the Google Cloud Associate Cloud Engineer exam, with practice assessments and an exam readiness review.

Practice assessments

Mock exam

Readiness review

FAQ

Common questions

Need something specific for your team?

Talk to an advisor
What prior experience is needed?

Basic IT and networking knowledge is enough. The program starts from the Google Cloud fundamentals.

Can the program be tailored to our team?

Yes. We align scope, depth and lab scenarios to your roles, stack and goals before delivery.

How is the program delivered?

Instructor-led, virtually or on-site, for a single team or multiple cohorts, with hands-on labs in dedicated environments.

Is support available after the program?

Yes. Participants receive follow-up support after the sessions to help apply the skills on real projects.

Related programs

Explore more training

Ecosystem

Validated by Industry Leaders.

Google
Amazon AWS
Microsoft
Salesforce
Cisco
Intel
TCS
Infosys
Wipro
Deloitte
Sony
Mercedes
Google
Amazon AWS
Microsoft
Salesforce
Cisco
Intel
TCS
Infosys
Wipro
Deloitte
Sony
Mercedes
Market Validation

What Engineering Leaders Say.

We don't deal in theoretical certifications. Our success is measured entirely by the production readiness and multi-cloud capabilities of the teams we deploy.

"

The production-grade sandbox environments completely changed our upskilling trajectory. Our teams didn't just learn AWS; they built failure-resistant architectures they deployed the very next week.

SJ

Sarah Jenkins

VP of Engineering, CloudOps
"

Moving our entire data pipeline to Databricks seemed impossible. The custom architecture playbooks and telemetry tracking provided by the training team gave us absolute confidence to scale.

MR

Marcus Rodriguez

Lead Data Architect
"

It's rare to find an execution model that skips the high-level fluff. We identified critical skill deficits in week one, and by month three, our internal GenAI integrations were live in production.

AK

Aisha Kapoor

Director of AI Infrastructure

Plan your Google Cloud Platform (GCP) program

Share your team goals and we will scope a program around them.

Request a proposal
Enterprise trainingGoogle Cloud Platform (GCP)
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