GCP Cloud Engineer training

Google Cloud Certified Associate Cloud Engineer From cloud fundamentals to job-ready engineer — hands-on, practical, and built around you

Have you ever wanted to be the person who actually builds and runs the cloud infrastructure that businesses depend on?

While Cloud Architects design the blueprints and business leaders set the strategy, it's Cloud Engineers who make it all real. They deploy the applications, configure the infrastructure, manage the databases, secure the networks, and keep everything running reliably in production — day in, day out.

It's one of the most practical, in-demand, and immediately employable roles in the technology industry. And this course is where it starts.

What this course is about

The Google Cloud Certified Associate Cloud Engineer certification is the gold standard entry-level credential for anyone who wants to work hands-on with Google Cloud. It proves to employers that you can set up cloud environments, deploy and manage workloads, handle data and networking, and secure infrastructure — not just in theory, but in practice.

This programme prepares you for that certification from the ground up. Every module is built around the exact competencies measured on the exam, with a heavy emphasis on practical, hands-on experience across Google Cloud's core services. You won't just watch and listen — you'll be working directly inside real Google Cloud environments from early in your training.

Whether you're completely new to cloud engineering or already working in IT and looking to formalise your skills with a recognised credential, this course gives you the clarity, structure, and real-world practice needed to pass the exam and step confidently into a cloud engineering role.

What you will learn

• How to set up, configure, and manage Google Cloud environments correctly from the very start
• How to deploy and operate compute workloads across virtual machines, containers, and serverless platforms
• How to select, configure, and manage storage and database solutions for different workload requirements
• How to design and manage secure, scalable networking on Google Cloud
• How to keep production environments healthy through monitoring, logging, and operational best practices
• How to control access and secure your infrastructure using IAM, service accounts, and least-privilege principles
• How to define and manage infrastructure using code — with Terraform and other industry-standard tools
• How to approach and pass the official Google Cloud Associate Cloud Engineer certification exam with confidence

What you will work with

This is a hands-on programme. You will work directly inside Google Cloud throughout your training — deploying real workloads, configuring real infrastructure, and solving real operational challenges. Every practical skill you develop maps directly to what employers expect from a working cloud engineer on day one.

Every session is delivered by an active industry professional with real-world Google Cloud experience.

Flexible delivery — designed around your life

We offer multiple training formats so you can learn in the way that works best for you:

One-to-one (1:1) sessions Private, personalised sessions scheduled around your availability.

Group training (cohort) Prefer to learn alongside others? Our weekend cohort sessions bring motivated learners together in a structured, collaborative environment — ideal if you enjoy the energy of a group and want to build connections with like-minded professionals along the way.

What's included

• Personalised Google Cloud Associate Cloud Engineer training plan
• Full exam preparation and technique coaching
• Hands-on labs and real-world operational scenarios throughout
• Access to an expert trainer before, during, and after every session
• Guidance on study materials and additional resources

Who this is for

This course is designed for anyone who wants to build practical, hands-on cloud engineering skills — regardless of background or prior experience. It is particularly well suited to:

Aspiring cloud engineers If you want to work directly with cloud infrastructure and build a career doing it, this is the most direct and structured path available. No prior cloud experience is required — just the drive to learn.

IT professionals moving into cloud If you already work in IT — in networking, system administration, or technical support — this course gives you a clear, structured path into cloud engineering and a recognised certification to validate the transition.

Developers deploying applications on Google Cloud If you build applications and want a deeper understanding of the infrastructure they run on, this certification closes that gap and opens doors to more senior and cross-functional roles.

Career changers entering tech If you're coming from outside the technology industry and have completed the Google Cloud Digital Leader certification, this is the recommended next step — taking you from strategic understanding into practical, hands-on implementation.

Anyone preparing for the Associate Cloud Engineer exam If your goal is to earn this certification as efficiently and thoroughly as possible, this programme is built precisely for that purpose.

Where this course leads

The Associate Cloud Engineer certification is one of the most important stepping stones in the Google Cloud learning path. It is the recommended foundation for two of the most advanced and highly valued certifications in the industry:

Google Cloud Professional Cloud Architect — designing secure, scalable, enterprise-grade solutions that align technology with business strategy.

Google Cloud Professional Data Engineer — building data processing systems, managing large-scale datasets, and developing machine learning solutions on Google Cloud.

Whichever direction you choose, the skills and credential you earn here will be the foundation everything else is built on.

Your outcome

You will complete this programme with the practical skills to deploy, manage, and secure real cloud solutions on Google Cloud, a globally recognised certification that employers actively look for, and the confidence to step into a cloud engineering role and make an immediate contribution.

Not sure if this is the right course for you, or want to understand how it fits into your broader goals? Speak to one of our advisers — no commitment, no pressure, just an honest conversation about where you want to go and the best way to get there.

Course curriculum

Google Cloud Certified Associate Cloud Engineer

Setting up a cloud solution environment

Build a solid, well-organised foundation in Google Cloud before writing a single line of configuration. This module covers the account structure, access controls, and operational tooling that every cloud environment depends on — getting you set up correctly from day one.

• Creating and managing resource hierarchies: organisations, folders, projects, and resources
• Applying organisational policies to enforce governance standards across your environment
• Configuring IAM roles, users, and groups to control who can access what
• Enabling and managing Google Cloud APIs for the services your projects require
• Setting up Cloud Identity and observability tools for visibility from the start
• Assessing resource usage and requesting quota increases where needed
• Configuring networking fundamentals and verifying regional product availability
• Using Cloud Asset Inventory and Gemini Cloud Assist to analyse and manage resources efficiently
• Managing billing accounts, budgets, alerts, and billing exports to stay in control of costs

Planning and implementing cloud solutions

Develop the skills to design and deploy scalable, reliable cloud architectures — making confident decisions about compute, storage, networking, and infrastructure automation across real-world scenarios.

Compute

• Choosing the right compute option for each workload: Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and Cloud Functions
• Launching and configuring virtual machines with SSH access, OS Login, and VM Manager
• Working with Persistent Disk, Hyperdisk, and custom machine types for different performance requirements
• Creating managed instance groups and configuring autoscaling policies
• Deploying GKE clusters across Autopilot, regional, and private configurations
• Deploying containerised applications and event-driven workloads at scale

Storage and data

• Selecting and deploying the right database for each use case: Cloud SQL, BigQuery, Firestore, Spanner, Bigtable, and AlloyDB
• Choosing appropriate storage solutions: Cloud Storage, Filestore, and NetApp Volumes
• Managing storage classes, lifecycle policies, and multi-region redundancy
• Loading, transferring, and migrating data across Google Cloud storage services

Networking

• Creating VPCs, subnets, and Shared VPCs for secure, scalable network architectures
• Configuring Cloud Next Generation Firewall (NGFW) policies using tags and service accounts
• Establishing hybrid and external connectivity using VPN, VPC Peering, and Cloud Interconnect
• Deploying and configuring load balancers and understanding network service tiers

Infrastructure as code

• Working with Terraform, Config Connector, Helm, and Fabric FAST to define and manage infrastructure programmatically
• Managing versions, state files, and updates within Infrastructure as Code (IaC) workflows
• Applying IaC best practices to ensure consistent, repeatable, and auditable deployments

Ensuring successful operation of cloud solutions

Learn how to keep your cloud environment running reliably in production — maintaining, scaling, troubleshooting, and optimising workloads with the confidence of an experienced cloud engineer.

Compute operations

• Connecting to virtual machines and managing snapshots and custom images
• Inspecting GKE clusters, node pools, and Kubernetes resources in a live environment
• Configuring autoscaling for Kubernetes Pods and Cloud Run services
• Deploying new application versions and managing traffic splitting for zero-downtime releases

Storage and data operations

• Managing Cloud Storage objects, permissions, and lifecycle policies
• Querying and working with data across SQL and NoSQL services
• Estimating and optimising storage costs across different storage tiers
• Backing up, restoring, and recovering databases across Google Cloud's managed database services
• Monitoring Dataflow pipelines and BigQuery jobs to ensure data workloads stay on track
• Using Database Center for fleet-wide database visibility and management

Networking operations

• Expanding subnets and managing IP address allocation as environments grow
• Creating and managing static routes for custom traffic routing
• Working with Cloud DNS for domain management and Cloud NAT for secure outbound connectivity

Monitoring and logging

• Creating alerts, custom metrics, and dashboards in Google Cloud Monitoring
• Exporting logs and configuring log buckets for long-term storage and compliance
• Using Cloud Logging, Cloud Trace, Cloud Profiler, and diagnostic tools to identify and resolve issues
• Deploying Ops Agent and Managed Service for Prometheus for infrastructure-level observability
• Configuring audit logs to maintain a complete record of activity across your environment
• Using Gemini Cloud Assist and Active Assist to surface optimisation recommendations and reduce operational overhead

Configuring access and security

Master the identity and access controls that keep Google Cloud environments secure — understanding how to apply least privilege, manage service accounts responsibly, and protect resources from unauthorised access.

• Viewing, creating, and managing IAM policies across projects, folders, and organisations
• Working with basic, predefined, and custom IAM roles to apply the right level of access
• Creating and managing service accounts for applications and automated workloads
• Assigning service accounts to resources using least-privilege principles to minimise security risk
• Managing service account impersonation and short-lived credentials for secure, time-limited access
• Using service accounts securely within GKE applications and workload identity configurations

Certification you'll be working toward

This programme is fully aligned with the official Google Certified Cloud Engineer exam. Every module, lab, and practical exercise is designed not only to build real-world cloud architecture skills on Google Cloud Platform, but to ensure you have exactly the knowledge and confidence needed to sit and pass one of the most respected certifications in the technology industry.

Google Certified Cloud Engineer exam

Where this course can take you?

Earning your Google Cloud Engineer certification is a significant achievement — but for most of our students, it marks the beginning of something bigger. The skills and confidence you build here open doors across the cloud industry, and there are several compelling directions you can take from here.

The natural first step after completing your training is sitting the official Google Cloud Certified Cloud Engineer exam. We prepare you thoroughly — not just on the content, but on exam technique and time management — so that when you book your seat, you're ready to perform with confidence.

Go further with Google Cloud

If you want to deepen your expertise within the Google Cloud ecosystem, there are three particularly powerful directions to consider:

Google Cloud Certified Professional Cloud Architect The Professional Cloud Architect certification is widely regarded as one of the most prestigious and valuable credentials in the technology industry. Building on your Cloud Digital Leader and Cloud Engineer foundations, this programme teaches you how to design, build, and manage secure, scalable, and enterprise-grade solutions on Google Cloud — aligning complex technical decisions with real business objectives. It is the certification that opens doors to senior architect roles and consistently ranks among the highest-paying credentials in the global technology market.

Google Cloud Professional DevOps Engineer Take your architectural knowledge and extend it into the world of continuous delivery, site reliability engineering, and large-scale automation. This path develops the skills to build and manage delivery pipelines, optimise system reliability, and bridge the gap between development and operations at enterprise scale.

Google Cloud Professional Data Engineer If working with data at scale interests you, this specialisation teaches you how to design and build data processing systems, manage large datasets, and develop machine learning models on Google Cloud — one of the fastest-growing and highest-paying areas in the industry right now.

Expand into Amazon Web Services

Google Cloud is a world-class platform, but the most versatile cloud professionals understand more than one provider. AWS is the global market leader, and adding AWS certifications to your profile makes you a significantly stronger candidate across a much wider range of roles and organisations.

We offer a full suite of AWS career paths, each one building logically on your existing cloud knowledge:

• AWS Solutions Architect — design secure, scalable cloud infrastructure on the world's most widely adopted platform
• AWS SysOps Administrator — master the day-to-day operational management of complex AWS environments
• AWS DevOps Engineer — automate delivery pipelines and manage infrastructure at enterprise scale
• AWS Security Specialty — specialise in securing cloud workloads and become a trusted expert in one of the most in-demand disciplines in tech
• AWS Data Engineer and Machine Learning Engineer — move into data and AI, two of the most exciting and financially rewarding areas in modern technology

Not sure which direction is right for you?

That's completely normal at this stage. Our advisers work with students every day to help map out learning paths that match their goals, their current experience, and the kind of career they're building toward. It's a free, no-pressure conversation — and it could save you a significant amount of time heading in the wrong direction.

Get in touch and let's figure it out together.