Description

Price: 5.00 USD | Size: 2.17 GB | Duration : 6 Hours  | 89 Video Lessons| 4.9

BRAND: Expert TRAINING | ENGLISH | Bonus : Google Cloud  PDF Guides | INSTANT DOWNLOAD

 

 

• Learn the basics of some of the most important services available in Google Cloud
• Understand how to use virtual machines and containers as well as serverless offerings to solve common business problems with Google Cloud
• Work through hands-on exercises to deploy a virtual machine and query an analytical database

This course introduces some of the most important services available in Google Cloud, including computing resources, storage systems and databases, security, and monitoring, as well as logging services. The course begins with an introduction to computing options, including Compute Engine for VMs and Cloud Functions for serverless functions. In addition to gaining hands-on experience deploying VMs and serverless functions, students will also learn how to decide which computing service is right for their needs.

Next, we review storage options, including object storage, relational databases, and data warehousing. In this section of the course, we will deploy a Postgres database using Cloud SQL and query public datasets using BigQuery. We’ll also review basic security practices for authorizing the use of services using Identity and Access Management (IAM). Networking, including defining subnets and creating firewall rules, as well as security topics such as access controls and auditing are also covered. The course concludes with an overview of monitoring and logging services in Google Cloud.

By the end of the live online course, you’ll understand:

• The difference between virtual machines, containers, serverless functions, and when to use each
• How to differentiate between object storage, relational databases, and NoSQL databases
• Cloud operations, including monitoring, logging, and cost management on Google Cloud

And you’ll be able to:

• Deploy virtual machines and serverless functions in Google Cloud
• Deploy a database and query a data warehouse
• Create firewall rules and assign roles to grant permissions to users

• You are new to Google Cloud and want to extend your cloud skills beyond other clouds
• You are a software developer working on applications and services in Google Cloud
• You are looking for help to get you started using compute and storage services in Google Cloud
• You want to learn how to use Google Cloud services to support application deployment and operation, including security, networking, and monitoring

• Familiarity with IT infrastructure concepts, such as servers, databases, and networking
• Ability to work with graphical user interface as well as a command line

 

The timeframes are only estimates and may vary according to how the class is progressing.

Segment 1: Overview of Google Cloud (20 minutes)

• Compute Services
• Storage Services
• Networking Services
• Data Engineering Services

Segment 2: Working with Cloud Console (20 minutes)

• Logging into the Google Cloud Console
• Navigating to Google Cloud Services
• Enabling APIs
• Checking the status of Google Cloud Services

Exercise: Using the Google Cloud Console (10 minutes)

Segment 3: Introduction to Cloud SDK (15 minutes)

• What is included in the Cloud SDK?
• Using gcloud commands
• Other commands in the Cloud SDK
• Using Cloud Shell

Break (5 minutes)

Segment 4: Deploying Virtual Machines with Compute Engine (25 minutes)

• Overview of how to configure a virtual machine
• Storage options for virtual machines
• Clusters of virtual machines and load balancing for high availability and scalability
• When to use Compute Engine

Exercise: Create a Virtual Machine with Compute Engine (15 minutes)

Segment 5: Working with Serverless Functions (30 minutes)

• Overview of Cloud Functions
• Event Driven Processing
• When to use Cloud Functions

Exercise: Create a function in Cloud Functions for Event-Driven Processing (15 minutes)

Segment 6: Object Storage in Google Cloud (15 minutes)

• Cloud Storage Buckets
• Storage Classes and When to Use Them
• Data Lifecycle Management in Cloud Storage

Exercise: Create a Cloud Storage Bucket (15 minutes)

Break (5 minutes)

Segment 7: Managed Relational Database Services in Google Cloud (25 minutes)

• Cloud SQL for Regional Relational Databases
• Cloud Firestore for semi-structured storage

Exercise: Deploy a Postgres database using Cloud SQL (15 minutes)

Q&A (10 minutes)

Segment 1: BigQuery (30 minutes)

• BigQuery for data warehousing
• Differences between relational databases and BigQuery
• Querying data in BigQuery

Exercise: Query a public dataset (15 minutes)

Segment 2: Security with Identity and Access Management (20 minutes)

• Users, groups, and service accounts
• Predefined roles and permissions
• Troubleshooting permissions problems

Exercise: Verifying roles assigned to identities (10 minutes)

Break (10 minutes)

Segment 3: Networking (30 minutes)

• Basic cloud network concepts
• Virtual private clouds
• Networking between on-premises and Google Cloud
• Creating subnetworks
• Creating firewall rules

Exercise: Creating a Firewall Rule (15 minutes)

Segment 4: Troubleshooting Your Google Cloud Operations and Resources (25 minutes)

• Introduction to Cloud Operations suite
• Cloud Monitoring dashboards
• Alerting with Cloud Monitoring
• Overview of Cloud Logging
• Searching logs

Exercise: Searching logs for error messages (10 minutes)

Break (5 minutes)

Segment 5: Google Cloud Billing (15 minutes)

• Billing Concepts
• Budgets and Alerts
• Tips on Managing Costs in Google Cloud

Exercise: Set up a budget alert (10 minutes)

Segment 6: Google Cloud Marketplace (15 minutes)

• What is available in Google Cloud Marketplace
• Navigating the Marketplace
• Deploying a Service from the Marketplace

Exercise: Deploying a Service from the Marketplace (15 minutes)

Q & A (10 minutes)

Course wrap-up and next steps (5 minutes)