GCP for Beginners - Become a Google Cloud Digital Leader

Explore cloud fundamentals, understand why startups and enterprises move away from data centers, and discover what cloud is and its advantages through a step-by-step visual approach with real enterprise scenarios.

Enterprises need thousands of servers to scale beyond single-server limits and prevent a single point of failure by using data centers for large, reliable operations.

Understand what a data center is and why managing it is costly and complex, including peak load provisioning, latency, and geographic expansion. See how cloud offers a scalable alternative.

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

Discover the key advantages of the cloud, including pay-for-use economics, economies of scale, and elastic capacity. Learn how these benefits enable faster development, global deployment, and reduced undifferentiated heavy lifting.

Learn essential cloud terminology such as elasticity, agility, geo distribution, and availability. Understand latency, cost concepts like CapEx to OpEx, pay-as-you-go, economies of scale, and avoiding undifferentiated heavy lifting.

Analyze cloud concepts through scenarios, illustrating elasticity, pay-as-you-go costs, agility in provisioning, high availability, geo-distribution, low latency, economies of scale, and avoiding undifferentiated heavy lifting.

Explore how Google Cloud uses its private fiber network to deliver fast, secure data and leverage a service catalog across compute, storage, databases, analytics, AI, and ML.

Learn a structured, step-by-step path to mastering cloud services across AWS, Azure, and Google Cloud, and discover how a cloud account provides global access, a gateway, and free credits.

Create a Google Cloud account and start a free trial with $300 credit by providing your personal details, verifying your mobile number, and entering card and tax information.

Use playback speed to maximize learning efficiency in your GCP for beginners course, saving time while maintaining comprehension by starting at 1x and gradually increasing to 1.25x, 1.5x, or 2x.

Learn how regions and zones define cloud infrastructure, and how multi-region, multi-data-center deployments deliver low latency and high availability across the globe.

Understand how to choose a cloud region by evaluating compliance, latency, service availability, and pricing, ensuring data stays local and performance remains strong for your users.

Deploy your applications across multiple regions to reduce latency, expand your global footprint, and meet data residency requirements. Leverage regional deployment to improve availability and enable faster disaster recovery.

Explore zones, or availability zones, within a region to achieve high availability by deploying across London's zone A, zone B, zone C, with independent power, network, and low latency links.

Explore regions and zones, clarify misconceptions, and apply scenarios to design multi-zone and multi-region deployments for disaster recovery, low latency, data residency, and high availability.

Explore Google Cloud regions and zones with examples like us-west1 and us-west1-a, europe-north1 in Finland, and asia-south1 in Mumbai, and learn about naming conventions and high availability.

Explore virtualization basics and virtual machines, uncover why dedicated servers are inefficient, and see how the hypervisor enables multiple VMs on a single physical server.

Explore Google Cloud Compute Engine to provision and manage virtual machines, with pay-as-you-go scaling, auto-scaling, global regions, and managed instance groups offering load balancing.

Explore instance templates to configure a VM once and reuse to launch multiple VMs or managed instance groups, noting that templates are immutable and can be copied to create versions.

Learn to create reusable vm configurations with instance templates using regional settings and a custom image, enable http traffic, configure a v2 startup script, and deploy single or grouped VMs.

Explore how to reduce costs for Compute Engine virtual machines by using sustained use discounts, committed use discounts, and spot VMs, with guidance on when to apply each option.

Troubleshoot on your own to build resilience. Research with Google, consult ChatGPT, post details in Q&A when needed, give back, and take a break when stuck.

Explore creating and managing Google Cloud instance groups, including managed (stateless vs stateful) and unmanaged groups, with autoscaling, instance templates, multi-zone placement, health checks, and update options.

Compare IaaS and PaaS by illustrating app and database setup, showing how cloud providers handle infrastructure, scaling, backups, and maintenance, while you focus on code and data.

Explore infrastructure as a service, platform as a service, and software as a service through practical scenarios, from deploying virtual machines to using prebuilt cloud apps.

Examine traditional, document-driven deployment and its slow, error-prone steps, then see how container images package the OS, runtime, code, and dependencies to streamline deployment across environments.

Learn the three pillars of microservices: API-based communication, small independently deployable units with clear boundaries, and dynamic scaling, demonstrated by decomposing a movie monolith into targeted services.

Explore microservices as small, independently deployable units that enable experimentation with new languages and frameworks, while dynamically scaling components like the booking service for faster releases and lower costs.

Explore Google Cloud's compute options, including IaaS and PaaS services such as Compute Engine, App Engine, Cloud Run, Cloud Run Functions, and Kubernetes Engine, plus serverless, containers, and container orchestration.

Explore compute service scenarios in Google Cloud, including creating virtual machines with Compute Engine, managed instance groups, load balancing, Cloud Run, App Engine, GKE, and Cloud Run functions.

Explore App Engine standard and flexible environments, comparing language-specific sandboxes and container-based deployments, with notes on scaling, pricing, and when to SSH into VMs.