Cloud Computing using Google Cloud

About Course

Unlock the full potential of cloud technology with our comprehensive online course, Cloud Computing with Google Cloud. Designed for beginners and intermediate learners, this course offers a hands-on introduction to the concepts, tools, and services that power modern cloud computing using Google Cloud Platform (GCP).

Through interactive lessons, real-world projects, and expert instruction, you’ll learn how to design, deploy, and manage scalable applications on Google Cloud. Whether you’re aiming for a career in cloud computing, preparing for a Google Cloud certification, or seeking to modernize your business infrastructure, this course will equip you with the skills and confidence needed to succeed.

What You Will Learn:

Fundamentals of Cloud Computing and Google Cloud architecture
Core services: Compute Engine, App Engine, Cloud Storage, BigQuery, and more
Setting up virtual machines and cloud networks
Building and deploying serverless applications
Managing cloud security, IAM (Identity and Access Management), and compliance
Implementing DevOps practices on Google Cloud
Best practices for cost optimization and resource management
Introduction to AI/ML services on GCP

Understand the fundamentals of cloud computing and the advantages of using Google Cloud Platform (GCP).
Set up and manage virtual machines (VMs) using Google Compute Engine.
Build, deploy, and scale serverless applications with App Engine, Cloud Functions, and Cloud Run.
Design and implement storage solutions using Cloud Storage, Cloud SQL, Firestore, and Bigtable.
Create and configure networks including Virtual Private Cloud (VPC), subnets, firewalls, and load balancers.
Secure cloud resources by managing permissions and roles with Identity and Access Management (IAM).
Monitor cloud infrastructure and applications using Google Cloud's Operations Suite (formerly Stackdriver).
Optimize costs and manage billing efficiently across cloud resources.
Automate deployments and set up CI/CD pipelines using Cloud Build and other DevOps tools.
Work with big data services like BigQuery for powerful data analysis.
Get introduced to machine learning and AI capabilities available on Google Cloud.
Prepare for Google Cloud certification exams, including the Associate Cloud Engineer certification.
Design a complete cloud solution as a real-world project to showcase your skills.

Course Content

Module 1: Introduction to Cloud Computing and Google Cloud
What is Cloud Computing? Cloud service models: IaaS, PaaS, SaaS Introduction to Google Cloud Platform (GCP) GCP Regions, Zones, and Global Infrastructure Setting up your Google Cloud account

Module 2: Core Google Cloud Services
Compute Services: Compute Engine, App Engine, Cloud Functions, Cloud Run Storage Services: Cloud Storage, Persistent Disk, Filestore Databases: Cloud SQL, Firestore, Bigtable Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS

Module 3: Deploying and Managing Virtual Machines
Creating and configuring VM instances SSH access and startup scripts Auto-scaling and load balancing Managing machine images and snapshots

Module 4: Developing Applications on Google Cloud
Building serverless applications Using App Engine (Standard and Flexible environments) Deploying microservices with Cloud Run Introduction to Kubernetes and Google Kubernetes Engine (GKE)

Module 5: Cloud Storage and Databases Deep Dive
Managing Cloud Storage buckets and objects Versioning and lifecycle policies Designing scalable database solutions Introduction to BigQuery and data warehousing

Module 6: Identity, Security, and Access Management
Understanding Identity and Access Management (IAM) Creating and managing roles and permissions Setting up service accounts and keys Managing security policies and best practices

Module 7: Monitoring, Logging, and Cost Management
Introduction to Google Cloud Operations Suite (formerly Stackdriver) Monitoring performance and uptime Logging and debugging applications Budgeting, billing, and cost optimization techniques

Module 8: DevOps and Automation on Google Cloud
Infrastructure as Code with Deployment Manager CI/CD pipelines using Cloud Build and Cloud Source Repositories Using Cloud Scheduler and Pub/Sub for automation

Module 9: Advanced Topics (Optional/Specialization Track)
Machine Learning and AI Services on GCP Introduction to Vertex AI Serverless Data Processing with Dataflow Big Data Analytics with Dataproc

Module 10: Final Project and Certification Preparation
Capstone Project: Designing and deploying a full cloud solution Practice exams for Associate Cloud Engineer and other GCP certifications Tips for Google Cloud certification success

About Course

Related

What Will You Learn?

Course Content

Module 1: Introduction to Cloud Computing and Google Cloud
What is Cloud Computing? Cloud service models: IaaS, PaaS, SaaS Introduction to Google Cloud Platform (GCP) GCP Regions, Zones, and Global Infrastructure Setting up your Google Cloud account

Module 2: Core Google Cloud Services
Compute Services: Compute Engine, App Engine, Cloud Functions, Cloud Run Storage Services: Cloud Storage, Persistent Disk, Filestore Databases: Cloud SQL, Firestore, Bigtable Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS

Module 3: Deploying and Managing Virtual Machines
Creating and configuring VM instances SSH access and startup scripts Auto-scaling and load balancing Managing machine images and snapshots

Module 4: Developing Applications on Google Cloud
Building serverless applications Using App Engine (Standard and Flexible environments) Deploying microservices with Cloud Run Introduction to Kubernetes and Google Kubernetes Engine (GKE)

Module 5: Cloud Storage and Databases Deep Dive
Managing Cloud Storage buckets and objects Versioning and lifecycle policies Designing scalable database solutions Introduction to BigQuery and data warehousing

Module 6: Identity, Security, and Access Management
Understanding Identity and Access Management (IAM) Creating and managing roles and permissions Setting up service accounts and keys Managing security policies and best practices

Module 7: Monitoring, Logging, and Cost Management
Introduction to Google Cloud Operations Suite (formerly Stackdriver) Monitoring performance and uptime Logging and debugging applications Budgeting, billing, and cost optimization techniques

Module 8: DevOps and Automation on Google Cloud
Infrastructure as Code with Deployment Manager CI/CD pipelines using Cloud Build and Cloud Source Repositories Using Cloud Scheduler and Pub/Sub for automation

Module 9: Advanced Topics (Optional/Specialization Track)
Machine Learning and AI Services on GCP Introduction to Vertex AI Serverless Data Processing with Dataflow Big Data Analytics with Dataproc

Module 10: Final Project and Certification Preparation
Capstone Project: Designing and deploying a full cloud solution Practice exams for Associate Cloud Engineer and other GCP certifications Tips for Google Cloud certification success

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About Course

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What Will You Learn?

Course Content

Module 1: Introduction to Cloud Computing and Google Cloud What is Cloud Computing? Cloud service models: IaaS, PaaS, SaaS Introduction to Google Cloud Platform (GCP) GCP Regions, Zones, and Global Infrastructure Setting up your Google Cloud account

Module 2: Core Google Cloud Services Compute Services: Compute Engine, App Engine, Cloud Functions, Cloud Run Storage Services: Cloud Storage, Persistent Disk, Filestore Databases: Cloud SQL, Firestore, Bigtable Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS

Module 3: Deploying and Managing Virtual Machines Creating and configuring VM instances SSH access and startup scripts Auto-scaling and load balancing Managing machine images and snapshots

Module 4: Developing Applications on Google Cloud Building serverless applications Using App Engine (Standard and Flexible environments) Deploying microservices with Cloud Run Introduction to Kubernetes and Google Kubernetes Engine (GKE)

Module 5: Cloud Storage and Databases Deep Dive Managing Cloud Storage buckets and objects Versioning and lifecycle policies Designing scalable database solutions Introduction to BigQuery and data warehousing

Module 6: Identity, Security, and Access Management Understanding Identity and Access Management (IAM) Creating and managing roles and permissions Setting up service accounts and keys Managing security policies and best practices

Module 7: Monitoring, Logging, and Cost Management Introduction to Google Cloud Operations Suite (formerly Stackdriver) Monitoring performance and uptime Logging and debugging applications Budgeting, billing, and cost optimization techniques

Module 8: DevOps and Automation on Google Cloud Infrastructure as Code with Deployment Manager CI/CD pipelines using Cloud Build and Cloud Source Repositories Using Cloud Scheduler and Pub/Sub for automation

Module 9: Advanced Topics (Optional/Specialization Track) Machine Learning and AI Services on GCP Introduction to Vertex AI Serverless Data Processing with Dataflow Big Data Analytics with Dataproc

Module 10: Final Project and Certification Preparation Capstone Project: Designing and deploying a full cloud solution Practice exams for Associate Cloud Engineer and other GCP certifications Tips for Google Cloud certification success

Trending Courses

Trending College Workshops

Company

Contact

Categories

Module 1: Introduction to Cloud Computing and Google Cloud
What is Cloud Computing? Cloud service models: IaaS, PaaS, SaaS Introduction to Google Cloud Platform (GCP) GCP Regions, Zones, and Global Infrastructure Setting up your Google Cloud account

Module 2: Core Google Cloud Services
Compute Services: Compute Engine, App Engine, Cloud Functions, Cloud Run Storage Services: Cloud Storage, Persistent Disk, Filestore Databases: Cloud SQL, Firestore, Bigtable Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS

Module 3: Deploying and Managing Virtual Machines
Creating and configuring VM instances SSH access and startup scripts Auto-scaling and load balancing Managing machine images and snapshots

Module 4: Developing Applications on Google Cloud
Building serverless applications Using App Engine (Standard and Flexible environments) Deploying microservices with Cloud Run Introduction to Kubernetes and Google Kubernetes Engine (GKE)

Module 5: Cloud Storage and Databases Deep Dive
Managing Cloud Storage buckets and objects Versioning and lifecycle policies Designing scalable database solutions Introduction to BigQuery and data warehousing

Module 6: Identity, Security, and Access Management
Understanding Identity and Access Management (IAM) Creating and managing roles and permissions Setting up service accounts and keys Managing security policies and best practices

Module 7: Monitoring, Logging, and Cost Management
Introduction to Google Cloud Operations Suite (formerly Stackdriver) Monitoring performance and uptime Logging and debugging applications Budgeting, billing, and cost optimization techniques

Module 8: DevOps and Automation on Google Cloud
Infrastructure as Code with Deployment Manager CI/CD pipelines using Cloud Build and Cloud Source Repositories Using Cloud Scheduler and Pub/Sub for automation

Module 9: Advanced Topics (Optional/Specialization Track)
Machine Learning and AI Services on GCP Introduction to Vertex AI Serverless Data Processing with Dataflow Big Data Analytics with Dataproc

Module 10: Final Project and Certification Preparation
Capstone Project: Designing and deploying a full cloud solution Practice exams for Associate Cloud Engineer and other GCP certifications Tips for Google Cloud certification success