Google Cloud Digital Leader Certification For Beginner - GCP

Create a google cloud platform free tier account and start a 90 days free trial with a $300 credit to set up payment details and your first project.

Learn the fundamentals of cloud computing, including public vs private cloud and IaaS, PaaS, SaaS. Grasp the shared responsibility model, CapEx vs OpEx, and on-premises to Google Cloud migration.

Explore cloud computing as on-demand, elastic resources you can rent globally to host applications, provision hundreds of virtual machines in minutes, and pay for eight hours for 100 VMs.

Explore the differences between public, private, and hybrid cloud models, including ownership, control, security, and cost considerations, with examples from GCP, AWS, and Azure.

Explore on-premise to cloud transitions with infrastructure as a service, platform as a service, software as a service, container as a service, and functions as a service, plus cloud management.

Explore the shared responsibility model between Google Cloud Platform and users, from on-premises to IaaS, PaaS, and SaaS, including encryption at rest and in transit, KMS, and IAM.

Explore the cost and responsibility trade-off across cloud service models from on-premises to IaaS, PaaS, and SaaS, showing how higher provider responsibility increases cost while lowering your management burden.

Explore total cost of operation (TCO) in cloud migration, contrasting on-premises assets with public cloud pricing, emphasizing pay-as-you-go provisioning, rental costs, and ongoing maintenance on Google Cloud.

Compare CapEx and OpEx in Google Cloud Platform, contrasting on-premise capital investments with pay-per-use operational costs for services like Compute Engine, App Engine, and Cloud Functions.

Google Cloud is a public cloud offering 200+ services across compute, big data analytics, storage, AI with TensorFlow, identity and access management, and security, with a carbon-neutral goal.

Explore GCP regions and zones, delivering low latency and disaster recovery by deploying across multiple data centers while keeping data inside Singapore and following government rules.

Explore how virtual machines use zonal and regional configurations, while Google Cloud storage can be regional, dual regional, or multi regional, with latency considerations across regions.

Learn how to structure Google Cloud resources using a hierarchical model: organization, folders for departments, teams, and products, then projects with dev, test, and production environments.

Apply an organization policy to skip default network creation and enforce a custom VPC at the organization level. Configure projects, enable Compute Engine API, and manage networks accordingly.

Explore core Google Cloud platform services across compute, storage, databases, data analytics, AI, and networking. Learn foundational offerings like Compute Engine, App Engine, Cloud Storage, and basic networking.

Compare consumption-based and fixed pricing models in Google Cloud, illustrating on-demand pricing based on bytes processed by each BigQuery query and cloud function requests versus flat-rate compute resources.

Explore discounts in Google Cloud, including flat rate committed use discount and sustained use discount, related to compute engine concepts to be covered in the upcoming compute engine section.

Explore how Google Cloud pricing varies by service and usage, and learn to use the Google pricing calculator to estimate storage and operation costs.

Explore Google Cloud billing and technical support across basic, standard, enhanced, and premium plans, with free billing support, billing administrator access for phone support, and English chat.

Understand how a service level agreement between you and Google Cloud defines uptime, downtime limits, and discount terms, with examples from BigQuery, Cloud Run, Compute Engine, and storage.

Explore how Google Cloud ensures compliance through independent verifications for security, privacy, and auditing, and how customers must meet regional standards when deploying across multiple regions.

Explore IAM basics: define who, what, and on which resources to grant minimal access; learn about identities, roles (built-in and custom), and service accounts within Google Cloud.

Explore how IAM roles bundle permissions in primitive, predefined, and custom forms, and learn to assign roles to identities while applying the principle of least privilege.

Learn how to assign roles to various identities in Google Cloud IAM, using compute viewer and compute admin roles to control access and manage compute engine resources.

Learn how a service account serves as a non-human identity for compute engine resources, using keys for authentication, and how to grant roles like editor or bigtable reader.

Use Google Cloud Directory Sync to migrate on premise users from LDAP or Microsoft Active Directory to Google Cloud Identity, synchronizing users and groups without migrating emails, calendars, or files.

Create your first compute engine virtual machine on the Google Cloud platform by selecting region, zone, machine type, OS, persistent disk, and networking.

Connect to the compute engine via ssh, install apache or nginx, and expose http traffic by opening port 80. Access the site via the external IP.

Explore compute engine pricing: flat rate, sustained use, and committed use discounts for VM instances and GKE, with 25% monthly usage thresholds and up to 70% off for 1–3 years.

Learn about Google Compute Engine preemptible VMs: cheaper, max 24 hours, suitable for batch jobs and background tasks—not live apps; up to 80% discount, but may terminate with 30-second warning.

Learn about Google cloud spot virtual machines, the next generation of preemptible VMs offering large cost savings for batch and fault-tolerant workloads, and how to configure them in compute engine.

Explore Compute Engine instance groups, including managed and unmanaged types, to autoscale, autohealing, regional deployment, and deploy many virtual machines from templates for stateless workloads.

Discover how instance templates in Google Compute Engine act as blueprints to create VMs from one definition with startup scripts, while templates cannot be updated.

Understand sole tenant nodes, fully dedicated to one customer, and how they differ from shared machines; learn to create and configure a sole tenant node in the cloud console.

Lift and shift your on-premises VMware workloads to Google Cloud with the Google Cloud VMware Engine, without changes, using dedicated sole-tenant nodes and high-performance machines.

Explore bare metal in Google Cloud Platform, running directly on physical hardware with no hypervisor. Gain low level access for specialized workloads like Oracle and SAP HANA.

Attach and manage extra storage on Google Cloud Compute Engine virtual machine by adding persistent disks and local ssd, understanding boot disk behavior, disk types, and deletion rules.

Explore what containers are, how they differ from virtual machines, and how Docker creates portable images to run lightweight, isolated apps with Cloud Run and GKE in microservice architectures.

Discover how container registry stores Docker images in Google Cloud, enabling push, pull, and tagging; see how artifact registry expands to npm and maven with binary authorization for security.

Create and push a node-based docker image to the container registry (gcr.io) using a Dockerfile and gcloud builds submit, preparing for deployment to cloud run or GKE.

Deploy Docker images to Google Kubernetes Engine by creating a cluster, deploying the workload, and exposing it with a load balancer and external IP.

Build a Node.js image from a Node.js base, copy server.js, expose port 8080, and push it to Google Cloud Artifact Registry via Cloud Shell, then deploy with Cloud Run.

Discover Google Cloud Platform's serverless offerings that let you focus on your code while App Engine, Cloud Run, and Cloud Functions handle deployment, scaling, and billing by requests.

Explore Google App Engine as a fully managed, serverless PaaS on GCP, with auto-scaling, multiple runtimes, standard and flexible environments, and canary traffic between versions.

Deploy versioned updates to Google App Engine with gcloud app deploy -V and control traffic between versions using a no promote flag and traffic splitting.

Deploy a containerized app to Google Cloud Run, a fully managed serverless service, push Docker images to Container Registry, and use canary traffic splits between versions for seamless updates.

deploy a one-off job in Google Cloud Run, configuring region, tasks, memory, CPU, and timeout, then monitor logs and deallocate resources after completion; explore schedule triggers and the deployment YAML.

Explore Google Cloud function, a serverless, event-based compute that deploys a simple function triggered by http, pubsub, or cloud storage events; you'll deploy, test, and run a hello world example.

Master cidr notation to express ip address ranges and configure gcp networking concepts. Learn about vpc networks, subnets, firewalls, and ip address types such as static, ephemeral, public, and private.

Learn how CIDR notation fixes 24 bits and uses the remaining bits to count 256 IP addresses. Apply this to design subnets and represent ranges of resources inside Google Cloud.

Explore Google Cloud networking with virtual private cloud and subnets, detailing global VPC vs regional subnet design, CIDR IP ranges, and default, auto, and custom modes.

Learn how firewall rules govern ingress and egress in a Google Cloud VPC, with default deny for incoming traffic and default allow for outgoing, and ports 22, 3389, 80, 443.

Learn to create a firewall rule in a custom VPC, enabling SSH traffic to selected instances by configuring source ranges, targets, and port 22.

Learn how GCP assigns internal and external IP addresses to a virtual machine for in-network and internet access, and how to reserve or release a static external IP.

Enable private access to Google APIs from Compute Engine by using an internal IP in a subnet, and test connectivity to Google Cloud storage and YouTube APIs without external IP.

Connect your data center to the GCP network with hybrid connectivity tools, including Cloud VPN, IPsec, and Cloud Interconnect, plus direct or carrier peering to extend and secure workloads.