Google Cloud - Associate Cloud Engineer Certification Course

Explore cloud computing fundamentals and the Google Cloud platform infrastructure. Learn the basics of Google Cloud network connections and why to choose Google Cloud.

Define cloud computing via NIST’s five traits: on demand, self service, broad network access, resource pooling, rapid elasticity, and measured service. Trace its evolution to serverless and Google's container-based infrastructure.

Understand Google Cloud network infrastructure through regions, zones, and multi regions, and how fiber, landing stations, and undersea cables connect data for fast, resilient global access.

Explore how Google Cloud network connections route requests via edge pops, edge nodes, and CDN caches, using peering to deliver fast access to static content and BigQuery.

Discover how the Google Cloud platform segments services into compute, storage, big data, and machine learning, with open accessibility, security layers, and budgeting tools.

Set up your Google Cloud account, claim free credits, and tour the console to manage projects, services, and a browser-based cloud shell for code and resources for 90 days.

Master Google Cloud basics and identity and access management, learn to set up Google Cloud, and understand the resource hierarchy and IAM concepts, including organization rules and service accounts.

Explore identity and access management in Google Cloud, outlining who can do what on resources, with a focus on organization hierarchy and role bindings that grant privileges.

Explore the Google Cloud IAM and admin console, learning to manage principles, predefined roles, service accounts, labels and tags, and use policy troubleshooter and policy analyzer to audit permissions.

Explore Google Cloud's resource hierarchy from organization to folders and projects, and see how IAM policies and roles govern who can view, edit, or manage billing across the organization.

Explore organization level identity and access management, detailing the super administrator, organization admin, and organization viewer roles within the resource hierarchy and their link to Google Workspace or cloud identity.

Explore how IAM roles define who can do what on Google Cloud resources by assembling permission strings into basic, predefined, and custom roles; learn through BigQuery examples.

Learn to create custom roles in the Google Cloud console by editing predefined roles or building from scratch, adjusting permissions, and setting launch stages (alpha, beta, or general availability).

Identify principals in Google Cloud IAM, including Google account, service account, Google group, Google Workspace, Cloud Identity domain, and all authenticated users or all users, and describe binding to roles.

Learn to create folders and manage permissions within Google Cloud's resource hierarchy. See how to update role bindings to grant folder admin access and organize projects under an organization.

Explore how service accounts act as identities for applications in Google Cloud, authenticating with RSA key pairs. Learn the three types—user managed, default, and Google managed—and how roles govern access.

Apply IAM best practices by using a resource hierarchy, least privilege, predefined roles, and groups, then manage service accounts and keys with clear display names and IAP for secure access.

Learn to monitor usage and manage Google Cloud resources effectively. Explore quotas and limits, label key-value pairs, and how to set up budgets in the Google Cloud console billing.

Configure resources with a single project and one billing account, using the Resource Manager and IAM hierarchy to enable accurate billing and policy inheritance within the organization.

Discover how Google Cloud quotas define project limits, including rate quotas that reset daily and allocation quotas that do not, and how to request increases through GCP console or support.

Learn how label key value pairs organize Google Cloud resources and enable billing breakdowns by custom labels, with practical use cases like team, environment, and component labeling.

Explore how to monitor and control Google Cloud costs using billing reports and budgets. Learn to set thresholds, receive alerts, and automate cost actions across projects and services.

Explore the Google Cloud billing console tour, learn to read cost reports, understand credits, explore budgets and alerts, and preview future BigQuery exports for cost analysis.

Create your first GCP budget by defining scope and a monthly target for all projects, set thresholds and forecasted email alerts, and review reports to track spending.

Explore virtual networks and virtual machines in Google Cloud. Learn about VPC, subnets, IP addresses, routing, and compute engine concepts for creating a micro VM.

Explore Google Cloud compute engine and its virtual machines, disk options, boot images, and startup scripts, then learn to scale with virtual private clouds and load balancing.

This demo walks you through creating a Google Cloud compute engine VM. It installs engine x lite and exposes a simple web page via the external IP.

Explore google cloud's virtual private cloud, a software-defined private network using internal and external IPs, subnets, routes, and firewalls. See how regions and zones organize vpc components and virtual machines.

Explore how Google Cloud VPC networks are global, while subnets are regional, defining internal versus external IP traffic, firewall rules, and scalable CIDR ranges for subnets.

Demonstrates Google Cloud VPC networking by creating a small slash 29 subnet, attaching five VMs with internal and external IPs, then expanding to slash 28 to add the fifth VM.

Master ip address basics and their binary, 32-bit, and dotted decimal representations. Learn how Google Cloud virtual machines use internal and external ip addresses, dhcp, dns, and cidr alias ranges.

Understand how Google Cloud routes determine packet paths via a routing table and next hop, and how firewall rules regulate inbound and outbound traffic for VPC instances.

Design networks for high availability and global dependability by using a single sub network across zones and regions, with cloud nat and private Google Access and firewall rules.

Explore Google Cloud network pricing by distinguishing ingress and egress traffic, understanding internal versus external IP usage, and seeing how same zone, same region, or different regions affect per‑gigabyte charges.

Explore virtual machines on Google Cloud with Compute Engine, covering VM options like image, disk, and compute, the VM lifecycle, pricing discounts, and common actions with demos.

Explore compute engine, Google Cloud's versatile VM option for general workloads. Compare with App Engine, Kubernetes Engine, and Cloud Functions, noting languages, auto scaling, and image and disk choices.

Explore Google Cloud image options for VM instances, including public and custom images, snapshots, and existing disks, and understand how machine images support backups and instance cloning.

Explore disk options for Google Cloud compute, including boot and persistent disks (HDD and SSD), regional vs zonal, local SSD, RAM disk, and encryption with snapshots and resizing.

Explore compute options for virtual machine instances, including machine families, series, and predefined or custom machine types, with general purpose, compute optimized, memory optimized, accelerator optimized configurations, and gpu workloads.

Explore Google Cloud Compute Engine VM instance options, including templates, instance groups, and Kubernetes integration, then review machine types, GPUs, memory and CPU profiles, and networking basics.

Explore the Google Cloud virtual machine lifecycle from provisioning hardware and disks through staging, booting, running, stopping, and terminating, with Linux and Windows access via SSH or RDP.

Learn compute engine pricing, including per-second billing with a minute minimum for vcpus and memory, plus rightsizing recommendations and discounts like sustained use, committed use, and preemptible VM instances.

Explore special compute options in Google Cloud, including sole tenant nodes for physical isolation and shielded VMs with secure boot, TPM, and integrity monitoring to protect enterprise workloads.

Explore common virtual machine actions in Google Cloud, including instance metadata usage, moving VMs between zones and regions with snapshots, managing persistent disks, and resizing without downtime.

Learn to launch a Django web application on Google Cloud by using marketplace templates and one-click deploy, guided by Deployment Manager and YAML files, while balancing cost and API enablement.

Explore Google Cloud storage and databases to understand use cases for Cloud Storage, File Store, Cloud SQL, Spanner, Fire Store, Cloud Big Table, and Memory Store.

Explore Google Cloud storage options, including object storage, file store, Cloud SQL, Cloud Spanner, and non-relational options Firestore and Bigtable, with practical use cases.

Explore cloud storage by storing unstructured data as objects in buckets. Choose storage classes—standard, nearline, coldline, archive—and manage lifecycle, versioning, access control, signed urls, and transfers.

Demonstrates cloud storage by creating a bucket, uploading and downloading an image, and sharing it via a public url; shows organizing with folders and deleting objects and the bucket.

Explore Google Cloud file store, a fully managed NAS for Compute Engine and GKE, with NFS version 3 support and scalable performance for enterprise migrations, financial services, and genome sequencing.

Set up a compute engine VM as an NFS client, create a Cloud Filestore instance, mount the file share, and test by creating a file.

Explore how Cloud SQL offers a fully managed relational database service for MySQL, PostgreSQL, and SQL Server, with high availability, static IPs, and a Cloud SQL proxy.

Demonstrates creating a Cloud SQL instance with PostgreSQL, connecting via Cloud Shell, creating a guest book database, inserting data, and deleting the instance to wrap up.

Explore how Cloud Spanner delivers relational semantics with unlimited horizontal scale, automatic regional distribution, and high availability, offering a single endpoint for globally consistent transactions.

Demonstrates creating a Cloud Spanner instance and database, defining a schema and table, inserting and querying data, and cleaning up resources, using Google standard SQL with notes on PostgreSQL interface.

Explore Cloud Bigtable, a scalable nosql key value store with row keys and column families. Delivering sub-10 ms latency at petabyte scale, it supports high throughput and Hadoop integration.

Explore Google Cloud memory store, a fully managed in-memory service for Redis and memcache that delivers sub millisecond data access, scalable high availability, private networking, and IAM-enabled security.

Explore how to interconnect on-premises networks with Google Cloud Platform, covering VPC networking, Cloud VPN, Cloud Interconnect, peering, and Shared VPC, with a demo and option review.

Connect your on-premises network to Google Cloud Platform with Cloud VPN, encrypting traffic through a VPN tunnel between regional gateways and enabling dynamic routing with Cloud Router and BGP.

Demonstrates how to create two VPC networks with subnets alpha and beta, configure firewall rules and VMs, and establish a Cloud VPN to enable internal IP communication.

Explore Google Cloud interconnect options to extend your on-premises network into Google's network via a co-location facility. Learn about dedicated interconnect, partner interconnect, VLAN attachments, and IP access to VPC.

Compare direct peering and carrier peering, distinguish layer two and layer three connectivity, and review dedicated versus shared interconnect options with providers.

Navigate a decision tree to choose a hybrid connectivity option for Google Cloud, weighing direct peering, carrier peering, cloud VPN, and partner interconnect by bandwidth, encryption, and co-location considerations.

Learn how shared VPC centralizes multi-project networking with a host project and attached service projects, and how VPC network peering enables private internal IP connectivity across VPC networks.

Explore managing instance groups with auto scaling and auto healing, and compare HTTP, TCP proxy, network, and internal load balancing for your use case.

Explore Google Cloud's managed instance groups, enabling auto scaling, auto healing, and automated updates for stateless and stateful workloads across regional or zonal deployments.

Explore http(s) load balancing on Google Cloud. Learn how a single IP distributes http and https traffic across back ends using proxies, URL maps, health checks, and SSL certificates.

Explore how Google Cloud load balancing works by configuring health checks, firewall rules, NAT, and instance templates to auto-scale and balance traffic across VM groups behind an HTTP load balancer.

Learn how internal http load balancing distributes http and https traffic to back ends in the same region, using Envoy proxies and an internal IP accessible across zones.

Explore ssl proxy load balancing in google cloud, terminating sstl at the load balancer. Proxy then dispatches to the closest back end instances and supports global and regional configurations.

Google Cloud TCP proxy load balancing terminates TCP connections at the load balancer and forwards to the closest backend over TCP or SSL, using a single global IP.

Master network load balancing for external tcp/udp/icmp traffic within a single region, using regional external IPs and forwarding rules, non proxy architecture, with direct server return and health checks.

Choose the right Google Cloud load balancer by weighing internal vs external traffic, regional vs global scope, and proxy vs pass-through options, considering traffic type and DoS protections.

Explore Google Cloud's managed services tour, including BigQuery, Dataflow, Data Prep, Data Proc, Cloud Functions, and Pub/Sub, and learn use cases and key features for the Associate Cloud Engineer.

Explore BigQuery, Google's fully managed data warehouse, with storage–compute separation, columnar capacitor architecture, streaming, and analytics tools like BigQuery ML and BI Engine.

Demonstrates how to use the BigQuery sandbox with the free tier, disable billing, and run simple SQL queries on public data like USA names, illustrating quotas and basic BigQuery concepts.

Explore Cloud Dataflow, a managed service for stream and batch data, sitting between ingestion and analysis, using pipelines built on Apache Beam to ingest, transform, and write output.

Discover how Data Prep on Google Cloud cleanses and transforms raw data, supports diverse imports, handles missing values, performs joins and aggregations, and prepares data for analytics and BigQuery.

Discover Google Cloud Dataproc, a managed service for running Spark, Flink, Hadoop, Presto, 30-plus tools. Learn serverless deployment, cluster spin-up in less than 90 seconds, and Vertex AI Workbench integration.

Learn how to create a Dataproc cluster, manage master and worker nodes, monitor VM instances, submit a Spark job, and clean up resources in Google Cloud.

explore how cloud functions deliver serverless, pay-as-you-go, event-driven code with automatic scaling and no infrastructure to manage, enabling you to write single-purpose functions that respond to events.

Pub/Sub enables asynchronous communication between publishers and subscribers with low latency, supporting one-to-many fan-out and many-to-many fan-in for streaming analytics, data integration, and real-time event distribution across applications and databases.