[NEW] Google Cloud Digital Leader Certification Course -GCP

Explore how cloud computing delivers storage, networking, analytics, AI, and ML as on-demand services over the internet, with pay-as-you-go pricing and rental resources from cloud providers, including Google Cloud.

Explore why cloud computing enables dynamic resource requirements through auto scaling during spikes, reduces infrastructure costs, eliminates maintenance headaches, speeds provisioning, and enhances disaster recovery and high availability.

practice using Google Cloud with a 90-day free trial and $300 credits, validated by a small card charge, and upgrade manually after credits expire.

Explore four ways to interact with Google Cloud: through the Google Cloud Console, the Google Cloud CLI, Google Cloud Shell, and client libraries for code-based connections.

Learn how capex differs from opex, comparing on-premises capital expenditure with cloud operational expenditure, and how cloud resources are scalable and priced based on usage.

Examine dynamic requirements and pay-per-use cloud models. Compare vertical scaling (scale up/down) with horizontal scaling (scale out/in), using a load balancer and auto scaling to improve availability.

Navigate the cloud models from on-prem to IaaS, PaaS, and SaaS using a car ownership analogy; responsibilities shift from you to the provider, with Gmail as a SaaS example.

Explore public, private, and hybrid cloud models, examining ownership, op-ex vs cap-ex, security, and compliance considerations, plus how hybrid setups balance existing infrastructure with cloud resources.

Discover how regions and zones in Google Cloud Platform define geographical locations, where each region has three or more zones with high bandwidth connections for disaster recovery.

Understand the GCP resource hierarchy from organization to folders, projects, and resources. Follow environment-based projects (dev, test, prod), note folders aren’t available in the free trial, and quota limits apply.

Explore how Google Compute Engine creates scalable virtual machines in the cloud, with configurable regions, RAM, cores, disk, and OS options; learn provisioning basics and Linux-only free trial limitations.

Learn to create your first Google Cloud Compute Engine virtual machine, configure region and zone, attach a boot disk, connect via SSH, and delete it to stop costs.

Use instance templates to create identical virtual machines in Google Cloud, enabling uniform deployments for managed instance groups across regions. Templates are global, immutable, and charged only when creating instances.

Explore instance groups that merge multiple virtual machines into a single entity, including managed groups with identical configurations and autoscaling with healing, and unmanaged groups without autoscaling or auto healing.

Learn how to create a Google Cloud instance template to reproduce multiple identical virtual machines, and explore default configurations, operating system options, firewall rules, and global resource behavior.

Discover sole tenancy in Google Cloud: gain exclusive access to a dedicated server node, run only your virtual machines, address compliance needs, and avoid sharing hardware with other customers.

Demonstrate creating a spot virtual machine in Google Cloud by choosing spot provisioning under the management tab during instance creation. Compare pricing with standard provisioning to see substantial cost savings.

Explore serverless computing, where you deploy a function to the cloud, bypass servers and operating systems, pay per usage, and benefit from auto scaling for event-driven workloads.

Watch a hands-on demo of creating and deploying a Google Cloud function, comparing gen one and gen two runtimes, triggers, and API enablement, then testing and viewing logs and metrics.

Discover how Google App Engine offers fully managed, serverless deployment for web apps, with auto scaling, load balancing, versioning, and languages like Go and Java, plus cloud sql and storage.

Explain compute engine versus app engine: compute engine is iaas with a configurable virtual machine; app engine is a pass that deploys apps directly, offering less flexibility and serverless operation.

Explore the block storage service in GCP, including persistent disks and local SSDs, and how to attach them to a virtual machine to boost performance.

Learn how cloud storage stores data as objects inside buckets. Use IAM to control access, ensure encryption, and enable versioning; data remains scalable and billed by usage.

Explore cloud storage by creating your first bucket, configuring location, storage class, access control, and encryption, then upload files and manage lifecycle rules for automated data management.

Explore Google Cloud Storage storage classes: standard, nearline, coldline, and archive to optimize cost and availability based on data access patterns, including minimum storage durations and retrieval fees.

Configure bucket-level object lifecycle rules to move objects between storage classes by age, downgrade to coldline after 365 days, delete old objects, and keep the most recent three versions.

Explore relational, NoSQL, and in-memory databases in GCP, learn how fixed schema, data size, and performance needs guide your database choice, with guidance on use cases and fast retrieval.

Identify the three data types—structured, semi-structured, and unstructured—and their schemas, with examples like relational databases, csv, xml, json, and various file formats.

Explore relational database options in Google Cloud Platform, including Cloud SQL for MySQL and PostgreSQL, and Cloud Spanner, then understand OLTP vs OLAP with BigQuery for analytics.

Explore NoSQL databases in GCP by understanding semi-structured data and non-relational models for large-scale operational and analytical workloads. Learn about Cloud Bigtable and Firestore as Google's NoSQL services.

Store data as key-value pairs in a column-oriented model with row keys in Cloud Bigtable, a NoSQL service on GCP; not serverless, so you create instances, clusters, and nodes.

Discover Memory Store, a Google Cloud in-memory database solution. Explore how caching in memory speeds up access for frequently used data, supporting session management with Redis and Memcached.

Explore identity access management (iam) by mapping who can do what on which resource, using authentication and authorization to grant permissions to users, service accounts, and groups.

Explore how service accounts in google cloud platform act as accounts for apps and workloads, with default, user-managed, and google-managed types, enabling virtual machines to access cloud storage and permissions.

Grant roles to principals to give permissions in GCP, and allow a user to hold multiple roles, including basic roles like owner, editor, and viewer, plus predefined and custom roles.

Define and apply IAM policy documents to assign roles to users through bindings and metadata. Explore examples where users gain access as organization admin or project creator via role bindings.

Explore pub/sub, a fast, highly scalable messaging service with publisher and subscriber roles, enabling streaming analytics, messaging, and parallel processing; compare standard pub/sub and Pub/Sub Lite and their trade-offs.

Explore the pub/sub components, including topic as the message path, subscription as the contract, and the topic-to-subscriber data flow with messages, publishers, receivers, and acknowledgements; push and pull delivery.

publishers send messages to a topic, where a temporary storage holds them before delivery to subscribers. subscribers receive messages via subscriptions, and acknowledge back to confirm delivery.