GCP Associate Cloud Engineer - Google Cloud Certification

Understand why enterprises and startups move from data centers to the cloud and learn the cloud's advantages with step-by-step visuals and real enterprise scenarios.

Understand why enterprises need thousands of servers, illustrated by in28minutes' browser and server interactions, and how avoiding a single point of failure leads to data center-based, scalable infrastructure.

Data centers require specialized infrastructure—power, cooling, networking, and security. Learn how peak load provisioning and overprovisioning drive high upfront costs and risks for geographic expansion.

Explore how cloud computing mirrors the electricity grid by renting infrastructure, offering on-demand access, elasticity, and pay-as-you-go from providers like AWS, Azure, and Google Cloud.

Explore cloud advantages like pay for use and economies of scale. Experience stop guessing capacity, increased speed and agility, go global in minutes, and avoid undifferentiated heavy lifting.

Discover cloud terminology like elasticity, agility, global reach, availability, latency, and cost models from CapEx to opex, pay as you go, economies of scale, and avoiding undifferentiated heavy lifting.

Explore elastic cloud concepts, pay-as-you-go economics, and rapid agility through real scenarios. Identify high availability, geo distribution, low latency, economies of scale, and avoiding undifferentiated heavy lifting.

Discover how Google Cloud leverages its private fiber network and data-centric heritage to deliver fast, secure access to hundreds of compute, storage, analytics, and AI services.

Discover a step-by-step path to learning cloud services with a practical gateway: create a cloud account to access global regions, deploy resources, and use free credits for beginners.

Create a Google Cloud account and start a free trial with $300 credit by entering personal and payment details, verifying your mobile number, and following the signup steps on cloud.google.com.

Maximize learning efficiency by speed watching and adjusting playback to 1.25x to 2x on the Udemy interface, starting at 1x and gradually increasing, prioritizing comprehension while optimizing every minute.

Explore how regions and availability zones create low latency and high availability by distributing data centers across multiple regions, enabling global deployment with cloud providers.

Evaluate region choice by assessing compliance, data locality, latency, service availability, and pricing; ensure data stays local where required, choose nearby regions for performance, and verify service availability and costs.

Deploy your applications across multiple regions to reduce latency and serve users faster. Achieve global footprint, comply with data residency regulations, and improve availability and disaster recovery.

Zones, or availability zones, offer high availability within a single region by deploying across multiple isolated but connected zones with independent power, independent network, and low-latency links.

Understand regions and zones, including disaster recovery, data residency, and low latency, with insights into multi-zone and multi-region deployments, scenarios, and common misconceptions.

Discover how Google Cloud regions and availability zones are named and organized, and learn to deploy across multiple zones and regions for higher availability.

Meet the instructor for this course, Ranga Karanam, founder of in28minutes, who brings decades of programming with Java, Python, and JavaScript, and cloud certifications on AWS, Azure, and Google Cloud.

Learn how virtualization tackles resource wastage and high costs by running multiple virtual machines on a single physical server, enabled by a hypervisor like VMware, with centralized management and isolation.

Launch virtual machines in the cloud using on-demand services like EC2, Azure VMs, or Google Compute Engine. Choose region, OS, and hardware, paying only for usage.

Learn to create a google cloud compute engine virtual machine, choose region and machine type, select debian, and connect via ssh to run basic commands.

Create a compute engine vm, enable http traffic, install apache, host a simple hello world page that shows the vm name and internal ip, accessible via the external ip.

Troubleshoot a gce web server by verifying the external ip, ensuring http access is enabled, ssh into the vm, inspect /var/www/html, and start apache2 with sudo.

Compare internal, external ephemeral, and external static IP addresses in Google Cloud VPCs, noting accessibility, permanence, and billing implications for virtual machines.

Demonstrates how to manage IP addresses for Google Cloud VMs. It covers internal and external IPs, ephemeral vs static, and how to assign none, reserve, and release static IPs.

Learn how to bootstrap a compute engine vm using a startup script to install Apache, configure the web page, and enable http traffic.

Reduce vm startup time by using a pre-installed custom image and share hardened images from disks, snapshots, or cloud storage across projects.

Explore instance templates in Google Cloud to launch multiple VMs quickly from an immutable template, configured with image, startup script, labels, image family, and a managed instance group option.

Explore reusable vm configurations by creating instance templates, customize boot disks with a custom image, enable http traffic, and automate startup scripts to deploy vms.

Explore the Google Cloud Console to access all services, mark favorites like Compute Engine, and set up budgets and alerts to monitor costs.

Discover cost-saving options for Compute Engine virtual machines, including sustained use discounts, committed use discounts, and spot VMs, and learn when to apply each strategy.

Google Cloud automatically applies sustained use discounts to VMs running more than 25% of a billing month, increasing with usage, with no upfront commitment. Some machine types may not apply.

Learn how committed use discounts save money on workloads by committing to one or three years, with either a minimum resource usage or minimum spend and greater savings for terms.

Explore cost optimization for Compute Engine VMs: commit 1–3 years; sustained use discounts apply after 25% of month; spot VMs suit fault-tolerant workloads, but use regular VMs for time-sensitive APIs.

Explore compute engine vm observability by viewing metrics and logs in the observability tab, including cpu utilization, network traffic, and disk throughput, and install Cloud Ops Agent for monitoring.

Explore the scope of compute engine resources, including regional differences in machine types, images, and instance templates. Learn to stop a VM to change its machine type.

Explore licensing costs for VM OS on Google Cloud, including pay-as-you-go on-demand pricing, bring your own license or subscription, and complexities of using paid OS like SUSE or Windows.

Explore instance groups in Google Cloud, including managed groups with identical VMs, health checks, auto-scaling and auto-healing, and unmanaged groups with varied configurations, plus regional versus zonal availability.

Explore key configurations for managing a managed instance group, including rolling update, rolling restart, and rolling replace, with templates, update timing options, max surge, and max unavailable.

Different applications require different layers and protocols. For example, gaming uses UDP at the transport layer for responses, while databases use TCP/TLS for reliable transfer, and web apps use HTTP.

Compare layer 4 and layer 7 load balancing, highlighting fast, low-overhead routing by IP address and port versus flexible routing by URL path, headers, and host.

Explore how gcloud serves as the primary Google Cloud CLI, enabling you to create, delete, update, and view resources across VMs, databases, and Kubernetes via Cloud Shell and configuration workflows.

Learn to manage multiple gcloud configurations, create, activate, describe, and list configurations, and switch between environments by naming configurations clearly and setting core project properties.

Learn the gcloud command structure: group, subgroup, and action—and apply it to manage compute instances, regions, zones, and filters, including listing, creating, describing, and deleting resources.

Master gcloud command structure (group, subgroup, action) with compute instances create. Set default region and zone, manage configurations, and view the active project with gcloud config list.

Configure default regions and zones for compute engine instances using project metadata, cloud console settings, or local gcloud config, with command options taking highest priority.