Google Cloud Platform - Associate Cloud Engineer

Name: Google Cloud Platform - Associate Cloud Engineer
Rating: 4.8 (3 reviews)

Certificate Exam Preparatory Course

Created byStone River eLearning

Last updated 6/2023

English

What you'll learn

Gain a solid understanding of the core concepts and architecture of GCP, including regions, zones, projects, and the different service models
Learn how to deploy and manage virtual machines, containers, and applications on GCP using services like Compute Engine, App Engine, and Kubernetes Engine.
Understand how to scale applications and manage resources effectively.
Master the networking capabilities of GCP, including setting up Virtual Private Cloud (VPC) networks, subnets, and firewalls.
Understand how to manage user access and permissions on GCP using Identity and Access Management (IAM).

Course content

5 sections • 33 lectures • 8h 3m total length

Course Overview10:14
Explore the five major domains of Google Cloud Platform, from setting up a cloud environment to deploying Kubernetes Engine and serverless compute, with focus on cost, security, and exam readiness.
Intro to Cloud and the Google Cloud Platform20:47
Explore the public cloud landscape with GCP, and understand compute, storage, and networking options, including VMs, Kubernetes, serverless, and DevOps friendly services.
Setting Up Cloud Projects and Accounts22:54
Learn to set up Google Cloud Platform projects and accounts using the organization, folder, and project hierarchy, manage identities with Cloud Identity and IAM, and configure billing alerts and APIs.
Managing Billing12:52
Manage Google Cloud billing by linking billing accounts to projects, setting budgets and alerts, applying organization policies to constrain spend, and exporting cost data to BigQuery for analysis.
Install and Configure the GCP CLI10:51
Install and configure the gcloud cli across macOS, Linux, and Windows, initialize projects with gcloud init, and use interactive mode to explore commands like compute disks list.

Using the GCP Pricing Calculator10:30
Explore how to use the GCP pricing calculator to estimate costs for cloud storage and VMs, evaluate archive options, and plan budgets with class A and class B operations.
Plan and Configure Compute Resources16:36
Explore how to plan and configure compute resources on Google Cloud Platform, comparing Compute Engine VMs, Kubernetes Engine, App Engine, images, regions, zones, and preemptible and custom machine types.
Plan and Configure Compute Resources, Part 214:09
Master the Kubernetes engine, including master and worker nodes, pods, and deployments. Explore Cloud Functions and Cloud Run for serverless compute and flexible container use.
Plan and Configure Data Storage22:23
Learn to plan and configure storage on Google Cloud Platform, including object storage with buckets, memory store caching based on Redis, and persistent disks with regional and nearline/coldline archival options.
Plan and Configure Data Storage Part 219:43
Explore Google Cloud data storage, from object storage to relational and NoSQL databases, including Cloud SQL, Cloud Spanner, BigQuery, Cloud Datastore, Cloud Firestore, and Bigtable, guided by transactions and latency.
Plan and Configure Network Resources18:30
Plan and configure network resources in Google Cloud Platform by selecting regions and zones, provisioning virtual networks and virtual private clouds, and implementing load balancers and Cloud DNS.

Launching Instance in Compute Engine, Console20:24
Launch a VM instance in Google Cloud Compute Engine via the console, configure region and zone, machine type, disks, and labels while considering cost and quotas.
Launching an Instance Using the Cloud SDK12:56
Launch VMs efficiently with the cloud SDK and gcloud CLI, using Cloud Shell for instant CLI access, scripting creates multiple VMs with default Debian images and N1 standard machines.
Instance Groups for Load Balancing, Autoscaling13:29
Learn to configure instance templates and instance groups on Google Cloud Platform to enable load balancing and autoscaling, including multi-zone deployments, CPU thresholds, min and max instances, and health checks.
Miscellaneous Compute Configurations13:52
Explore miscellaneous compute configurations in Google Cloud Platform, including automated monitoring, memory sizing for virtual machines, and SSH key management.
Deploy and Implement Kubernetes Engine10:58
Discover how Kubernetes Engine on Google Cloud Platform orchestrates containers within a managed cluster, enabling containerized microservices, pods, masters, and nodes for high availability.
Deploy an Application to Kubernetes Engine19:14
Deploy a containerized web app to Google Cloud Kubernetes Engine, building the image, pushing to container registry, creating a cluster, and exposing a load-balanced service.
Monitoring, Logging Kubernetes Engine Apps6:58
Learn how to monitor a Kubernetes Engine app and access logging data, view CPU, memory, and disk metrics, and use YAML and events to understand deployments and health.
Deploy and Implement Serverless Compute14:37
Learn how Google Cloud Platform serverless compute replaces VMs and containers with functions that run on demand, deploy and test with http triggers, and pay only for actual compute time.
Deploy and Implement Data Solutions13:04
Discover cloud storage in Google Cloud Platform by creating a globally unique bucket, choosing storage class, configuring access controls, and applying retention and encryption for object-based storage.
Deploy and Implement Network Resources16:28
Deploy and implement Google Cloud Platform network resources by setting up VPCs, subnets, firewall rules, and routing. Compare default VPCs with custom VPCs, and configure IP addresses and VPN options.
Deploy a Cloud Marketplace Solution8:53
Explore the Google Cloud marketplace to deploy pre-configured solutions, including Kubernetes Engine apps and graph databases like Neo4j, with evaluation licenses and clear cost considerations.
Deploy a Solution using Cloud Deployment Manager11:36
Learn how Google Cloud deployment manager automates marketplace deployments with YAML templates, orchestrating VMs, firewall rules, and external IPs for the Cisco CSR 1000V.

Managing Compute Engine Resources14:28
Resize VM memory only when the instance is stopped to save costs. Use snapshots to back up, restore, and spin up new instances from a snapshot for quick recovery.
Managing Kubernetes Engine Resources8:48
Learn to manage a Kubernetes engine cluster, focusing on node pools, storage, and applications, with edits, YAML, events, and documentation.
Managing App Engine and Cloud Run21:21
Discover App Engine and Cloud Run as serverless compute options on Google Cloud Platform; deploy Python apps or containers, compare standard vs flexible App Engine, and manage projects and cleanup.
Managing Storage12:09
Explore Google Cloud storage options for compute workloads, including persistent disks, object storage, and Filestore shares, with guidance on sizing, snapshots, and cost.
Managing Databases12:36
Explore managing databases in Google Cloud Platform, from relational SQL options to managed Cloud SQL, creating instances, and connecting to run queries.
Managing Network Resources13:25
Manage Google Cloud Platform network resources by editing firewall rules, controlling ICMP traffic, and configuring VM IP addresses (static vs ephemeral) within a VPC.
Monitoring and Logging17:08
Monitor and log cloud resources with Google Cloud Platform's monitoring dashboard, alerting policies, and logging to detect CPU spikes, configure notifications, and install agents for deeper visibility.

Managing IAM15:23
Learn to manage identity and access in Google Cloud Platform by configuring users, groups, and roles, crafting custom roles with granular permissions, and applying least privilege.
Managing Service Accounts15:16
Discover how service accounts enable VM and app access in GCP, manage API scopes, and apply least privilege through creating, disabling, or deleting accounts.
Using Audit Logs10:28
Learn to use audit logs in Google Cloud Platform to build audit trails, view JSON details, and filter by severity, then sink logs to Cloud Storage or BigQuery for analysis.

Requirements

While there are no strict prerequisites,to pursue the Google Cloud Platform (GCP) Associate Cloud Engineer certification, it is recommended to have some foundational knowledge and experience in cloud computing and GCP.

Description

The Google Cloud Platform (GCP) Associate Cloud Engineer certification is designed for individuals who have foundational knowledge of GCP and can effectively demonstrate the ability to deploy, monitor, and maintain projects on the platform.

The Google Cloud Platform - Associate Cloud Engineer course targets those individuals looking to learn to deploy applications in the Google Cloud Platform. The course also assists learners in how to monitor operations and manage enterprise-scale solutions. This course also ensures the learner understands how to use both the Google Cloud Console as well as the command-line interface to perform solution deployment, maintenance, and monitoring. While it thoroughly prepares its students for the Google Certified Associate Cloud Engineer certification, it is also a valuable guide for your production cloud workloads. The course is designed to equip individuals with the knowledge and skills necessary to perform the responsibilities of an Associate Cloud Engineer.

The Google Cloud Platform (GCP) Associate Cloud Engineer certification is designed for individuals who want to demonstrate their skills and knowledge in deploying, monitoring, and maintaining projects on the GCP platform.

Overall, the GCP Associate Cloud Engineer certification targets individuals with varying backgrounds and roles, ranging from cloud engineers and system administrators to developers and consultants, who want to validate their knowledge and skills in deploying and managing projects on the Google Cloud Platform.

Who this course is for:

Cloud Engineers
System Administrators
IT Professionals & IT Consultants
Developers & Solutions Architects

Google Cloud Platform - Associate Cloud Engineer

What you'll learn

Explore related topics

Course content

Setting Up a Cloud Solution Environment5 lectures • 1hr 18min

Planning and Configuring a Cloud Solution6 lectures • 1hr 42min

Deploying and Implementing a Cloud Solution12 lectures • 2hr 42min

Ensuring Successful Operation of a Cloud Solution7 lectures • 1hr 40min

Configuring Access and Security3 lectures • 41min

Requirements

Description

Who this course is for: