Getting started with Cloud Computing and Google Cloud (GCP)

Understand cloud computing as on-demand resources that scale without managing physical infrastructure, reducing costs and procurement time, with services like databases, serverless, data warehouses, ml, and analytics.

Explore the benefits of cloud computing, including cost effectiveness, virtualization-enabled resource utilization, shared infrastructure, and scalable flexibility, while reducing physical infrastructure management and highlighting sustainable data center practices by Google.

Explore why some businesses don't run entirely on cloud, due to legacy mainframes, migration time, and compliance-driven data locality, and how a hybrid approach can still reap cloud benefits.

Explore cloud models—infrastructure as a service, platform as a service, and software as a service—and how they enable compute, storage, and application delivery, with containers as a service.

Explore virtualization and container technology, and learn their differences. See how virtualization creates virtual resources via a hypervisor, such as KVM or Xen, enabling shared compute, network, and storage.

Explore how containers solve deployment consistency by packaging apps and dependencies, with Docker as a key platform, and learn how container orchestration with Kubernetes enables scalable, cross-environment application management.

Discover how containers share a single operating system and provide lightweight, fast, portable isolation, while hypervisor-based virtual machines run multiple OS instances with their own OS and libraries.

Understand what a cloud platform is, offering virtualization-based computing services. Includes databases, AI and ML, networking, security, big data, DevOps tools, and cloud-neutral, multi-cloud strategies.

Investigate hybrid cloud, edge, and multi-cloud models blending on premises and public clouds to meet data locality and latency needs. See how edge computing enables real-time, immersive experiences across industries.

Explore a cloud comparison tool to evaluate cloud computing options within Google Cloud (GCP), as part of getting started with cloud computing.

Design for containerization, cloud-agnosticism, and application programming interfaces to build cloud-neutral apps deployable across platforms, decoupling personally identifiable information from non-personally identifiable information and standardizing devops practices for secure deployment.

Discover the typical cloud development lifecycle, from creating a cloud project and IAM access to regions, VPCs, services, containers, APIs, multi-cloud design, and automated CI/CD, logging, backups, and hardening.

Explore Google Cloud data centers, regions, and zones, and how zones map to clusters for compute, network, and storage across regions for disaster recovery.

Google cloud projects serve as logical containers for cloud resources, tie to a billing account, use an internal network for vm-to-vm communication, and rely on quotas that may require upgrades.

Learn how Google Cloud identity and access management allocates access through roles and bindings, covering basic, predefined, and custom roles, principals, and policy conditions for granular security.

Explore how to set up and manage a Google Cloud project, roles, and access within hands-on labs, following video instructions to execute lab exercises.