GCP- Google Cloud Platform

OVERVIEW
Building Strategic Influence in Matrix Organizations

The days of files and folders, floppy disks and CDs, have far gone and forgotten. With cloud computing setting foot in the IT market, it has revolutionized the way IT operations are being carried out. From small-scale business to large-scale IT giants; cloud computing brings scalability, cost-effectiveness, infrastructure and software control choices, data security, etc. and streamlines work in a strategically formatted and output-driven way. Gartner predicts that 90% of the organizations worldwide will be using cloud computing services by 2022, creating enormous job opportunities in this field. The GCP training program offered by Cognixia is designed for aspirants ready to take a leap in the cloud computing world. This course led by subject matter experts provides industry standard training accelerating a participant’s way to job ready proficiency.

WHAT YOU'LL LEARN
Why you shouldn't miss this course

By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • What is Google Cloud Platform?
  • Region and zones
  • Understanding GCP console
  • GCP security credential
  • Google cloud storage basic operations
  • Bucket and objects
  • Cloud storage availability and durability
  • Storage classes
  • Multi regional storage
  • Regional storage
  • Nearline storage
  • Coldline storage
  • Authorization and access control
  • Cloud storage data encryption
  • Cloud storage versioning
  • Cloud storage lifecycle management
  • Cloud storage pricing
  • Lab 1: Cloud Storage
  • Basic architecture of GCE
  • Difference between GCE and traditional server
  • Machine type
  • Firewall rules
  • Images
  • Persistent disk and durability model of compute engine
  • GCP console for compute engine
  • Static IP address
  • Autoscaling for VM instances
  • Basic Cloud monitoring
  • Lab2: Cloud Compute Engine
  • Launch a VM
  • Reserve and associate a static IP address to your VM
  • Installing WordPress
  • Creating persistent disk
  • Mounting the additional disk
  • Core advantages of Google Cloud SQL
  • Cloud SQL database instance type
  • Access control
  • High availability
  • Backup options
  • Google Cloud SQL pricing
  • Lab3: Deploying and Scaling an Application
  • Creating Google cloud SQL instance
  • Configure WordPress to use Google Cloud SQL
  • Creating read replica for Cloud SQL Instance
  • Configuring WordPress to use read replica
  • Verifying read replica
  • Fundamental of Load Balancer
  • Network Load Balancer
  • HTTP (S) Load Balancer
  • Internal Load Balancer
  • SS Load Balancing
  • Stackdriver monitoring
  • Stackdriver debugger
  • Stackdriver trace
  • Stackdriver logging
  • Stackdriver error reporting
  • Stackdriver monitoring API
  • Overview of Autoscaling
  • Autoscaling Component
  • Lab 4: Scaling the Application using Google Cloud Load Balancing
  • Create an Image of a Persistence
  • Launch Instance Group
  • Create Load Balancer
  • Setup Autoscaling
  • Virtual Private Cloud (VPC) networking fundamentals
  • Firewall
  • Internal DNS
  • Network Routes
  • Lab 5: Hosting Secure Applications in Google Cloud VPC Networks
  • Creating a Network with a Web-Network and DB-Network
  • Launching Web Server and DB Server
  • Generate SSH key pair and add it to your Project
  • Launching NAT Server and configuring it to Forward Traffic from DB server to Internet
  • Introduction
  • User and Service Account
  • IAM Roles
  • Policy
  • Lab 6: Managing Users, Policies and Granting Roles using Service Accounts
  • Creating a Service account and granting Roles
  • Remove the Owner Role from the service account and try to list the content of the bucket
  • What is CDN
  • Google Cloud CDN
  • Cloud CDN Concept
  • Some of the Cloud CDN edge locations
  • Cloud DNS
  • Supported Record Types
  • Lab 7: Moving an Existing Domain Name to Cloud DNS
  • Launch a WordPress site using Marketplace
  • Registering a domain with Freenom.com
  • Creating the managed zone and Records sets in Cloud DNS
  • Changing the Freenom Name server to Google’s Name Server
  • Deployment Manager Fundamentals
  • Runtime configurator
  • Waiters
  • Lab 8: Generating and Creating Cloud Deployment Manager Template
  • Creating an Infrastructure Using a Configuration File
  • Google Container Engine
  • Docker Overview
  • Kubernetes Terminologies
  • Replication Controller
  • Deployment
  • Lab 9: Deploying WordPress Cluster using Container Engine
  • Creating Container Engine Cluster
  • Creating PODs and Services for MYSQL and WordPress Containers
  • Overview of Cloud PUB / SUB
  • PUB / SUB Concepts and Message Flow
  • DATA Model
  • Big Query Overview
  • Overview of Cloud Big Table
  • Overview of Cloud Datastore
  • Limits
  • Storage Size
  • Multitenancy
  • Benefits of Multitenancy
  • Encryption
  • Locations

RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first,
hands-on learning model

Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)

INTERESTED IN THIS COURSE?
Let's Connect

Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.

Response within 1 business day
Available in 5 delivery formats globally
Volume pricing for teams of 10+
Get in touch

One of our specialists will contact you within one business day.

FAQs
Frequently
Asked Questions

Find details on duration, delivery formats, customization options, and post-program reinforcement.

A person aspiring of becoming a new age cloud expert with GCP and carve his/her career in the world of cloud computing should definitely take up this course.

Cloud computing is here to stay! It is a field that is witnessing vast adoption across all kinds of businesses. Starting a career in a field that ensures good career opportunities and growth should be a good decision.

Our trainers are subject matter experts on Google Cloud Platform.

An internet speed of at least 2 Mbps is essential.

When you enroll for this course, you get lifetime access to our Learning Management System (LMS) which would be your one-stop destination to access class recordings, presentations, sample codes, projects and lots of other learning material. Even if you miss a session, a recording of that session, as well as all the other sessions would be available on the LMS that you can access anytime, anywhere.

For any queries, you can reach out to our technical support team and they will guide you accordingly.

Once all the sessions of the course are completed, you will be evaluated on the basis of multiple parameters such as your attendance in the sessions, your scores in multiple-choice questions based assessment, etc. Based on your overall performance, you will receive a course participation certificate.

Participants can login to GCP portal by using his/her Gmail credentials. Google credits $300 in GCP account for learning and no extra license is required.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
Leadership
Equip enterprise leaders to drive culture, skills, policy, and operating-model change required for sustainable Generative AI adoption at scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Enterprise-grade security, governance, and Responsible AI controls to protect, govern, and operate GenAI and agentic systems safely at scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
In-Person Workshop, Virtual Instructor-Led
Applied
Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
In-Person Workshop, Virtual Instructor-Led
Applied
Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
In-Person Workshop, Virtual Instructor-Led

READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.