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Google Cloud Associate Cloud Engineer
Bootcamp Certificate Track
Associate Level
€699 + €10/session
Launch your Google Cloud career with hands-on experience deploying applications, monitoring operations, and managing enterprise solutions on GCP. Estimated effort: 60–90 hours.
🔗 Official Certification PageWho This Is For
- Engineers starting their Google Cloud journey
- IT professionals transitioning to GCP
What You'll Gain
- Hands-on GCP deployment and management skills
- Confidence working with cloud infrastructure
Full Curriculum Outline
Exam-aligned modules covering all Google Cloud Associate Cloud Engineer certification domains
5-Week Bootcamp Curriculum
Hands-on training covering all Google Cloud Associate Cloud Engineer exam domains
Week 1 — Setting Up the Cloud Solution Environment
Skills Area: Section 1 (~23%)
What You'll Learn
- Create and manage Google Cloud resource hierarchy: Organizations, Folders, Projects
- Apply organization policies
- Grant IAM roles at project level
- Manage users and groups in Cloud Identity (manual and automated)
- Enable APIs within projects
- Provision and configure Google Cloud Observability products
- Assess quotas and request quota increases
- Set up standalone organizations
- Configure basic cloud networking
- Confirm product availability by region and location
- Configure Cloud Asset Inventory
- Analyze resources using Gemini Cloud Assist
Hands-On Labs
- Create a multi-project Google Cloud resource hierarchy
- Apply IAM roles and organization policies
- Enable APIs and configure Cloud Monitoring and Logging
- Use Cloud Asset Inventory and Gemini Cloud Assist to analyze resources
Week 2 — Billing, Compute & Serverless Deployment
Skills Area: Sections 1.2 + 2.1 (~30%)
What You'll Learn
- Create and manage billing accounts
- Link projects to billing accounts
- Configure billing budgets and alerts
- Set up billing exports
- Select appropriate compute services: Compute Engine, GKE, Cloud Run, Cloud Run functions
- Launch Compute Engine instances: Availability policies, SSH keys
- Choose storage options for Compute Engine: Zonal and regional Persistent Disks, Hyperdisk
- Create autoscaled managed instance groups
- Configure OS Login and VM Manager
- Use Spot VMs and custom machine types
- Install and configure kubectl
- Deploy GKE clusters: Autopilot, Regional, Private clusters
- Deploy containerized applications to GKE
- Deploy event-driven serverless workloads: Pub/Sub, Cloud Storage events, Eventarc
Hands-On Labs
- Configure billing accounts, budgets, and alerts
- Launch Compute Engine instances with autoscaling
- Deploy a GKE cluster and containerized application
- Deploy a serverless application triggered by events
Week 3 — Storage, Data & Networking
Skills Area: Sections 2.2 + 2.3
What You'll Learn
- Choose and deploy data services: Cloud SQL, BigQuery, Firestore, Spanner, Bigtable, AlloyDB, Dataflow, Pub/Sub, Managed Kafka, Memorystore
- Choose and deploy storage services: Cloud Storage, Filestore, NetApp Volumes
- Select Cloud Storage classes: Standard, Nearline, Coldline, Archive
- Load data using: CLI uploads, Storage Transfer Service
- Design multi-region redundancy
- Create and manage VPCs: Custom mode, Shared VPC
- Configure Cloud NGFW rules: Ingress and egress, Secure Tags, Service accounts
- Establish connectivity: Cloud VPN, VPC peering, Cloud Interconnect
- Deploy load balancers
- Differentiate Network Service Tiers
Hands-On Labs
- Deploy Cloud Storage and database services
- Load and query data across services
- Create a custom VPC with firewall rules
- Configure VPN and load balancing
Week 4 — Operations, Monitoring & Logging
Skills Area: Section 3 (~27%)
What You'll Learn
- Manage Compute Engine instances: Remote access, Snapshots and images
- Manage GKE clusters: Nodes, Pods, Services, Node pools and autoscaling, Autopilot resource requests
- Deploy new versions of Cloud Run applications
- Configure traffic splitting
- Configure autoscaling for Cloud Run
- Manage storage and data: Object lifecycle policies, Backups and restores, Cost estimation
- Review job status: Dataflow, BigQuery
- Manage databases using Database Center
- Manage networking: Subnets, IP addresses, Routes, Cloud DNS, Cloud NAT
- Configure monitoring and logging: Alerts, Custom metrics, Log exports, Log buckets and routers, Audit logs
- Use diagnostics tools: Cloud Trace, Cloud Profiler, Query Insights
- Use Gemini Cloud Assist and Active Assist
Hands-On Labs
- Operate Compute Engine and GKE workloads
- Configure Cloud Monitoring alerts and dashboards
- Export logs to BigQuery
- Use diagnostics tools to troubleshoot applications
Week 5 — Identity, Access & Security
Skills Area: Section 4 (~20%)
What You'll Learn
- View and create IAM policies
- Manage role types: Basic, Predefined, Custom roles
- Create and manage service accounts
- Apply least-privilege IAM policies
- Assign service accounts to resources
- Manage service account impersonation
- Create short-lived credentials
- Use service accounts with GKE workloads
Hands-On Labs
- Create and manage custom IAM roles
- Secure workloads using service accounts
- Implement service account impersonation
- Configure GKE workloads with Workload Identity
Certification Outcome
By completing this bootcamp, learners will be able to:
- Set up and manage Google Cloud environments
- Deploy and operate compute, storage, and networking resources
- Monitor, troubleshoot, and optimize workloads
- Secure access using IAM and service accounts
- Confidently sit the Associate Cloud Engineer certification exam
- Perform effectively in Cloud Engineer and Junior DevOps roles
Need a Custom Learning Path?
If you are new to cloud computing, we recommend starting with Cloud Foundation — Live Bootcamp before this track.
You can book a free consultation to receive a custom learning curriculum.
Ready to Start?
Join the bootcamp and begin your journey to Google Cloud Associate Cloud Engineer certification