The complete Google Cloud Platform (GCP) for Beginners

Explore the Google Cloud Platform, compare it with other clouds, and learn how provisioning, on-demand access, and pay-as-you-go enable elasticity of resources over the internet.

Explore Google Cloud Platform basics, including data centers, regions and zones, renewable energy, custom servers, encryption in transit and at rest, and global versus regional resources for scalable cloud workloads.

Explore how Google Cloud organizes resources into projects within an organization, with folders, IAM policies, quotas, and service accounts managed by the resource manager for centralized governance and billing.

Explore core cloud services in the Google Cloud Platform for beginners, including the pricing calculator, compute resources, data storage options, and network resources, while understanding service choices, security, and billing.

Explore Google Cloud Platform's database and storage services, including Cloud SQL, Spanner, Bigtable, Datastore, Cloud Storage, BigQuery, and messaging with Pub/Sub, plus big data tools like Dataflow and Dataproc.

Explore Google Cloud networking services, including VPC, load balancers, firewalls, routers, subnets, DNS, and Cloud CDN, and learn how interconnects, VPN, and hybrid cloud enable secure global connectivity.

discover the google cloud platform interfaces you can use to interact with gcp, including the web console, mobile app, command line tools, cloud shell, and cloud api.

Explore the Google Cloud Platform cloud console UI to manage projects and resources from a centralized home page, with access to API Explorer, dashboards, and quickstart guides.

Access cloud shell directly in your browser to run gcloud, gsutil, and other tools, manage cloud storage, preview web apps, and edit files with an integrated, secure, persistent, full-screen terminal.

Download and install the Cloud SDK, initialize gcloud on your machine, log in, set a default project and compute zone, and explore instance lists with native tools like gsutil.

Explore the cloud api explorer in the cloud console to try the compute engine api in a sandbox, creating a test instance with project id and zone.

Explore Compute Engine, Google Cloud Platform virtual machine service, including launching instances, instance templates and groups, networking with firewalls and regions and zones, disks, images, snapshots, and scaling concepts.

Explore how Google Cloud load balancers distribute requests across Compute Engine instances, automatically scale to handle traffic, and ensure high availability across regions.

Launch and configure a Linux virtual machine in Google Compute Engine, selecting regions, zones, machine types, and images, then connect via SSH to manage the instance.

Learn to create and connect a Google Cloud Platform Compute Engine VM, choose a Windows image and size, enable preemptible pricing, and connect via remote desktop to verify internet access.

Explore Google Cloud Platform storage and database services, including Cloud SQL, Cloud Spanner, Datastore, Bigtable, and Cloud Storage, plus big data tools like Dataflow and Pub/Sub.

Google Cloud SQL, a fully managed RDBMS for MySQL and PostgreSQL, featuring automated backups, point-in-time recovery, replication, and high availability.

Explore Cloud Spanner, Google's globally scalable, fully managed relational database that provides strong global consistency, horizontal scaling, and a SQL-like schema for mission-critical, real-time applications.

Explore cloud networking on Google Cloud Platform, including VPC private networks, subnets, firewalls, load balancers, and DNS, with hybrid connectivity via VPN and Interconnect.

Learn to connect your on-premises data center to your Google Cloud Platform VPC using cloud interconnect, cloud VPN, and peering for hybrid connectivity.

Discover how to set up a bastion host in gcp, remove a vm's external ip, and access another vm via its internal ip within the same subnet using ssh.

Use Stackdriver for cloud monitoring, logging, tracing, and error reporting across Google Cloud Platform and Amazon Web Services, with health and uptime checks, dashboards, logs, latency monitoring, and production debugging.

Learn Google's big data solutions on GCP, including BigQuery as a fully managed enterprise data warehouse, Dataflow for stream and batch processing, and DataProc for Hadoop and Spark.

Explore Google Cloud Platform's AI and machine learning solutions, including the fully managed cloud machine learning engine and intelligence API for vision, speech, natural language, translation, and video analysis.