Google Cloud Ace: Associate Cloud Engineer Exam Prep

Google Cloud Ace: Associate Cloud Engineer Exam Prep
Published 8/2026
Created by Aseem Mankotia
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 45m ) | Size: 557 MB
Hands-on gcloud, IAM, GKE & Cloud Run labs to prepare for the Google Cloud Associate Cloud Engineer exam
What you'll learn
Design a resource hierarchy with organizations, folders, and projects and link billing accounts
Configure the Cloud SDK, gcloud named configurations, and Cloud Shell for multi-project workflows
Select the correct compute service (Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions) for a given scenario
Choose the right storage class and database service based on access patterns and consistency needs
Deploy Compute Engine instance templates and autoscaling managed instance groups via gcloud
Deploy and manage GKE clusters, node pools, and workloads with kubectl
Deploy serverless workloads with Cloud Run, Cloud Functions, and Pub/Sub integrations
Configure Cloud Monitoring alerting policies, uptime checks, and Cloud Logging sinks
Requirements
6+ months of hands-on Google Cloud Platform experience recommended
Basic familiarity with the Linux command line
A free or trial Google Cloud account for following along with labs
General understanding of cloud computing concepts (compute, storage, networking)
Description
This course contains the use of artificial intelligence.
This course delivers exam-focused preparation for the Google Cloud Associate Cloud Engineer (ACE) certification, built around Google's official exam guide domains: Setting Up a Cloud Solution Environment, Planning and Configuring a Cloud Solution, Deploying and Implementing a Cloud Solution, Ensuring Successful Operation of a Cloud Solution, and Configuring Access and Security. Every chapter pairs direct technical instruction with a hands-on gcloud, Console, or Cloud Shell lab - creating projects and budgets, sizing Compute Engine, GKE, Cloud Run, and Cloud Functions workloads, deploying managed instance groups and Kubernetes workloads, configuring monitoring and alerting, and applying least-privilege IAM bindings. No fluff, no unnecessary theory - just the exact commands, service comparisons, and scenario-based reasoning the exam tests.
Instructor Aseem Mankotia has built this course as a companion to the Google Cloud Professional Machine Learning Engineer and Generative AI Leader courses in this catalog, structured for cloud engineers, sysadmins, and developers who already have some hands-on Google Cloud experience and want to sharpen it into exam-ready knowledge. The course walks through the classic ACE decision pairs relentlessly - Compute Engine vs GKE vs Cloud Run vs App Engine vs Cloud Functions, Cloud SQL vs Spanner vs Bigtable vs Firestore vs BigQuery, Standard vs Nearline vs Coldline vs Archive storage, and basic vs predefined vs custom IAM roles - using exact GCP terminology and gcloud command patterns throughout.
Every quiz question uses scenario-based 'BEST / MOST cost-effective / correct next step' framing that mirrors the real exam's style, and the final chapter includes a full timed exam simulation with a time-management strategy for the 50-60 question, 120-minute format. Note that Google does not publish official per-domain weightings or a fixed passing score for the ACE exam; the domain weights presented here are editorial estimates reflecting the emphasis of Google's official exam guide. This course offers exam-focused preparation and hands-on practice - it does not promise any specific exam outcome.
AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official Associate Cloud Engineer exam guide.
Who this course is for
Cloud engineers, sysadmins, developers, and IT professionals with some hands-on Google Cloud experience who deploy and operate workloads on GCP.
Candidates preparing for the Google Cloud Associate Cloud Engineer (ACE) exam who want hands-on, scenario-based practice.
Recommended for those with 6+ months of hands-on Google Cloud use; a companion to the Professional ML Engineer and Generative AI Leader courses in this catalog.
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