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GCP Associate Cloud Engineer Google Certification -150 Demos

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  • 5,425 Students
  • Updated 5/2025
  • Certificate Available
4.7
(538 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Short Course
Study Mode
Online
Language
English
Taught by
Kalyan Reddy Daida | DevOps & SRE Architect on AWS, Azure & Google Cloud Platforms
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.7
(538 Ratings)

Course Overview

GCP Associate Cloud Engineer Google Certification -150 Demos

GCP ACE - Start your Google Cloud Platform Journey with 150 practical demos. Google Cloud Associate Cloud Engineer [NEW]

Course Modules

  1. Compute Engine - 26 Demos

  2. Cloud Run and Cloud Functions - 5 Demos

  3. Virtual Private Cloud - 12 Demos

  4. Cloud Load Balancing - 11 Demos

  5. Google Kubernetes Engine - 28 Demos

  6. Cloud Identity and Access Management (IAM) - 9 Demos

  7. Data Solutions - 27 Demos

  8. Cloud Monitoring - 7 Demos

  9. Cloud Logging - 6 Demos

Compute Engine: 26 Practical Demos

Compute Engine: VM Instances Demo List

  1. VM Instance Basics

  2. Startup Scripts

  3. Cloud Shell & gcloud CLI

  4. Instance Templates

  5. Machine Images

  6. Spot VMs

  7. Attach GPU to a VM

  8. Sole-tenant Nodes

  9. Ops Agent

Compute Engine: Persistent Disk Demo List

  1. Cloud KMS

  2. Attach Non-boot disk

  3. Resize Disks

  4. Regional Persistent Disks

  5. Hyper Disks

  6. Hyper Disk Storage Pools

  7. Disk Images

  8. Disk Snapshots

  9. Local SSDs

Compute Engine: Instance Groups

  1. Unmanaged Instance Groups

  2. Managed Instance Groups - Stateless

  3. Managed Instance Groups - Stateful

Compute Engine: SSH Keys

  1. Default SSH Keys

  2. Project-level Metadata

  3. Instance-level Metadata

  4. SSH OS Login

  5. SSH OS Login - Thir-party Tools

Google Kubernetes Engine - 28 Practical Demos

GKE Kubernetes Pods

  1. Kubernetes Pods - Imperative

  2. Kubernetes Pods - Declarative

GKE Kubernetes Deployments

  1. Kubernetes Deployment - Imperative

  2. Kubernetes Deployment - Declarative

  3. Kubernetes Deployment - Update

  4. Kubernetes Deployment - Rollback

GKE Kubernetes Other Workload Resources

  1. Kubernetes ReplicaSets

  2. Kubernetes StatefulSets

  3. Kubernetes DaemonSets

  4. Kubernetes NodePort Service

  5. Kubernetes ClusterIP Service

  6. Kubernetes Headless Service

  7. Kubernetes Ingress Service

GKE Kubernetes Jobs

  1. Kubernetes Job Basics

  2. Kubernetes Job Back-off limits

  3. Kubernetes Job Completions

  4. Kubernetes Job Parallelism

  5. Kubernetes Job Active Deadline Seconds

  6. Kubernetes Cron Jobs

GKE Cluster Management

  1. Node Pools and Node Selectors

GKE Cluster Types

  1. GKE Regional Standard Cluster

  2. GKE Auto-pilot Cluster

  3. GKE Private Cluster

GKE Autoscaling

  1. GKE Cluster Autoscaler

  2. GKE Horizontal Pod Autoscaling

  3. GKE Vertical Pod Autoscaling

GKE Kubernetes Storage

  1. GKE Storage with Compute Engine Persistent Disks

GKE Container Registry

  1. Google Artifact Registry

Cloud Identity and Access Management (Cloud IAM) - 9 Practical Demos

  1. IAM Roles

  2. IAM Roles - gcloud CLI

  3. IAM Policy

  4. IAM Conditions

  5. IAM Service Account

  6. IAM Service Account - gcloud CLI

  7. IAM Service Account - Impersonation

  8. IAM Service Account Keys - Long-lived Credentials

  9. IAM Service Account - Short-lived Credentials

Virtual Private Cloud - 12 Practical Demos

  1. VPC Types (Auto and Custom)

  2. Static IP Addresses (External and Internal)

  3. Cloud NAT and Cloud Router

  4. VPC Private Google Access

  5. Cloud Domains

  6. Cloud DNS

  7. Firewall Ingress Rules

  8. Firewall Ingress Rule with Target Tags

  9. Firewall Ingress Rule with Service Accounts

  10. Firewall Ingress Rule with Destination Filters

  11. Firewall Egress Deny Rule

  12. Firewall Policies

Cloud Load Balancing - 11 Practical Demos

  1. Regional Managed Instance Groups

  2. Global HTTP Load Balancer

  3. Global HTTPS Load Balancer (Self-signed SSL)

  4. Global HTTPS Load Balancer (Google-managed SSL)

  5. Global TCP Proxy Load Balancer

  6. Global SSL Proxy Load Balancer

  7. Zonal Managed Instance Groups

  8. Regional HTTP Load Balancer

  9. Regional HTTP Internal Load Balancer

  10. Regional TCP Proxy Load Balancer

  11. Regional TCP Pass-through Load Balancer

Cloud Run and Cloud Functions - 5 Practical Demos

  1. Cloud Run Services

  2. Cloud Run Jobs

  3. Cloud Functions - HTTP

  4. Cloud Functions - Events with Cloud Pub/Sub

  5. Cloud Functions - Events with Cloud Storage

Google Cloud Data Solutions - 12 Services, 27 Practical Demos

  1. Cloud SQL

  2. Cloud Spanner

  3. Cloud Dataflow

  4. Cloud AlloyDB

  5. Cloud Firestore

  6. Cloud Datastore

  7. Cloud Bigtable

  8. Cloud Dataproc

  9. Cloud Pub/Sub

  10. Cloud Pub/Sub Lite

  11. Cloud Storage

  12. Cloud Big Query

Cloud Monitoring - 7 Practical Demos

  1. Uptime Checks

  2. Alert Policies and Notification Channels

  3. Monitoring Groups

  4. Synthetic Monitor - Custom Scripts

  5. Synthetic Monitor - Mocha Template

  6. Synthetic Monitor - Broken-link Checker

  7. Custom Dashboards

Cloud Logging - 6 Practical Demos

  1. Log Explorer

  2. Application Integration

  3. Log-based Metrics and Alerts

  4. Log-based Alert Policy

  5. Log Storage and Log Router Sinks

  6. Log Analysis and BigQuery Linked Datasets



Each of my courses comes with

  • Amazing Hands-on Step By Step Learning Experiences

  • Practical demos for each and every concept

  • Friendly Support in the Q&A section

  • "30-Day "No Questions Asked" Money Back Guaranteed by Udemy"



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Course Content

  • 80 section(s)
  • 313 lecture(s)
  • Section 1 Introduction
  • Section 2 Google Cloud - Regions and Zones
  • Section 3 01. Compute Engine - VM Instance Basics
  • Section 4 02. Compute Engine - Startup Scripts
  • Section 5 03. Compute Engine - Cloud Shell and gcloud CLI
  • Section 6 04. Compute Engine - Instance Templates
  • Section 7 05. Compute Engine - Machine Images
  • Section 8 06. Compute Engine - Spot VMs, Live Migration, Availability Policy
  • Section 9 07. Compute Engine - GPU (Graphic Processing Unit), Machine Families and Types
  • Section 10 08. Compute Engine - Sole-tenant Nodes
  • Section 11 09. Compute Engine - Cloud Ops Agent (Logging and Monitoring)
  • Section 12 10. Compute Engine Storage - Key Management Service (Cloud KMS)
  • Section 13 11. Compute Engine Storage - Create Data Disk, Attach to VM, Resize, Regional PD
  • Section 14 12. Compute Engine Storage - Hyperdisk and Storage Pools
  • Section 15 13. Compute Engine Storage - Create Disk Images
  • Section 16 14. Compute Engine Storage - Create Disk Snapshots
  • Section 17 15. Compute Engine Storage - Create VM with Local SSD
  • Section 18 16. Compute Engine - Unmanaged Instance Group + Load Balancer
  • Section 19 17. Compute Engine - Managed Instance Group Stateless + Load Balancer
  • Section 20 18. Compute Engine - Managed Instance Group Stateful
  • Section 21 19. Compute Engine - VM Instance SSH Keys
  • Section 22 01. Google Cloud Serverless: Cloud Run - Services
  • Section 23 02. Google Cloud Serverless: Cloud Run - Jobs
  • Section 24 03. Google Cloud Serverless: Cloud Functions
  • Section 25 01. Networking Resources: Cloud VPC Modes - Auto-Mode, Custom Mode
  • Section 26 02. Networking Resources: Cloud VPC - Firewall Rules
  • Section 27 03. Networking Resources: Cloud VPC - External and Internal IP Addresses
  • Section 28 04. Networking Resources: Cloud VPC - Cloud NAT
  • Section 29 05. Networking Resources: Cloud VPC - Private Google Access
  • Section 30 06. Networking Resources: Cloud VPC - VPC Network Peering
  • Section 31 07. Networking Resources: Cloud VPC - Shared VPC
  • Section 32 08. Networking Resources: Cloud Domains and Cloud DNS
  • Section 33 09. Networking Resources: Cloud Load Balancing - Global Load Balancers
  • Section 34 10. Networking Resources: Cloud Load Balancing - Regional Load Balancers
  • Section 35 01. Google Kubernetes Engine: Create Standard Regional Cluster
  • Section 36 02. Google Kubernetes Engine: Pods and Services - Imperative and Declarative
  • Section 37 03. Google Kubernetes Engine: ReplicaSets - Declarative only
  • Section 38 04. Google Kubernetes Engine: Deployments - Imperative and Declarative
  • Section 39 05. Google Kubernetes Engine: Node Pools and Node Selectors
  • Section 40 06. Google Kubernetes Engine: DaemonSet - Declarative
  • Section 41 07. Google Kubernetes Engine: Jobs and Cron Jobs
  • Section 42 08. Google Kubernetes Engine: Services - NodePort, ClusterIP, Headless, Ingress
  • Section 43 09. Google Kubernetes Engine: Storage - Storage Class, Persistent Volume, Claims
  • Section 44 10. Google Kubernetes Engine: StatefulSets
  • Section 45 11. Google Kubernetes Engine: Autoscaling - Cluster Autoscaler, HPA and VPA
  • Section 46 12. Google Kubernetes Engine: Google Artifact Registry: Build, Push and Pull
  • Section 47 13. Google Kubernetes Engine: Private Clusters, Cloud NAT, kubectl access
  • Section 48 14. Google Kubernetes Engine: Autopilot Clusters
  • Section 49 01. Cloud IAM - IAM Roles
  • Section 50 02. Cloud IAM - IAM Policy
  • Section 51 03. Cloud IAM - IAM Conditions
  • Section 52 04. Cloud IAM - IAM Service Accounts
  • Section 53 05. Cloud IAM - IAM Service Account Impersonation
  • Section 54 06. Cloud IAM - IAM Service Account Long-lived Credentials
  • Section 55 07. Cloud IAM - IAM Service Account Short-lived Credentials
  • Section 56 01. Google Cloud Data Solutions: Cloud SQL
  • Section 57 02. Google Cloud Data Solutions: Dataflow
  • Section 58 03. Google Cloud Data Solutions: Cloud Spanner
  • Section 59 04. Google Cloud Data Solutions: Alloy DB
  • Section 60 05. Google Cloud Data Solutions: Cloud Firestore
  • Section 61 06. Google Cloud Data Solutions: Cloud Datastore
  • Section 62 07. Google Cloud Data Solutions: Cloud Bigtable
  • Section 63 08. Google Cloud Data Solutions: BigQuery
  • Section 64 09. Google Cloud Data Solutions: Dataproc
  • Section 65 10. Google Cloud Data Solutions: Cloud Storage
  • Section 66 11. Google Cloud Data Solutions: Cloud Pub/Sub and Pub/Sub Lite
  • Section 67 01. Cloud Observability - Uptime Checks, Alert Policies, Notification Channels
  • Section 68 02. Cloud Observability - Monitoring Groups
  • Section 69 03. Cloud Observability - Proactive Monitoring (Mocha, Synthetic, Broken-link c
  • Section 70 04. Cloud Observability - Custom Dashboards and Metrics Explorer
  • Section 71 05. Cloud Observability - Cloud Trace
  • Section 72 06. Cloud Observability - Logs Explorer
  • Section 73 07. Cloud Observability - Third-party Integrations (Nginx)
  • Section 74 08. Cloud Observability - Log-based Metrics and Alerts
  • Section 75 09. Cloud Observability - Log-based Alert Policy
  • Section 76 10. Cloud Observability - Log Storage and Log Router Sinks
  • Section 77 11. Cloud Observability - Log Analytics
  • Section 78 12. Cloud Observability - Cloud Audit Logs
  • Section 79 Cloud Marketplace
  • Section 80 Google Cloud - Pricing Calculator
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What You’ll Learn

  • You will implement Google Compute Engine (VM Instances, Persistent Disks, SSH Keys, Managed Instance Groups) with 26 practical demos
  • You will implement Google Kubernetes Engine with 28 practical demos
  • You will implement Google Cloud Run and Cloud Functions with 5 practical demos
  • You will implement Google Virtual Private Cloud with 12 practical demos
  • You will implement Google Cloud Load Balancing with 11 practical demos
  • You will implement Google Cloud Identity and Access Management (IAM) with 9 practical demos
  • You will implement Google Cloud Monitoring with 7 practical demos
  • You will implement Google Cloud Logging with 6 practical demos
  • You will implement Google Cloud Data solutions with 27 practical demos covering 12 services
  • Cloud Data Solutions: Cloud SQL, Cloud Spanner, Dataflow, AlloyDB, Firestore, Datastore, Bigtable, Dataproc, Pub/Sub, Pub/Sub Lite, Cloud Storage, Big Query
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Reviews

  • M
    Mauricio Miranda Boehme
    5.0

    Great course and I love having the instructions on a Git repository. That makes the demos very practical. Thank you so much!

  • C
    Chhaya Yadav
    5.0

    It has been an awesome learning journey so far. I am looking forward to learn more amazing gcp concepts from Kalyan. Thanks Kalyan for this fantabulous course. You are a wonderful teacher.

  • D
    David Odoom
    5.0

    This exceeds my expectations. I tried other 4.6 rated courses before but had to archive or return them. Tutors pedagogy is excellent and the supporting documents are so thorough. It is unbelievable the amount of work he put in this.

  • O
    Olaoluwa Olumide Ajayi
    5.0

    This course contributed greatly to my success on the ACE certification exam. I'm thrilled to have passed! A big thank you for your hard work—this is highly recommended.

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