
Explore core concepts of Google Cloud Platform, navigate the cloud console, and learn about GCP services, computing, storage, databases, and machine learning while preparing for Google Cloud certifications.
Explain cloud computing as on-demand access to data storage and computing power, including clouds and serverless options, while tracing evolution from timesharing and virtualization to IaaS, PaaS, and SaaS.
Understand cloud computing models: IaaS, PaaS, SaaS, and serverless computing, with provider-managed infrastructure, so you focus on writing and deploying your application.
Compare cloud vendors—GCP, AWS, and Azure—covering advantages, pricing models, and integration for enterprises, with a focus on machine learning, serverless, and on-prem compatibility.
Learn GCP fundamentals with hands-on labs via a free subscription and credits, then sign in with Gmail to access the console and quick labs.
Access the Google Cloud Console via Quick Labs for a free 30-minute hands-on lab, sign in with your account to get credentials and a project, and explore the console.
Discover how a Google Cloud project organizes all resources. Learn to view, create, configure settings like location and project ID, and manage projects in the console.
Discover Google Cloud services, navigate the hamburger menu, and access marketplace, computing, storage, databases, networking, and operations tools.
Learn how identity and access management controls who can access google cloud resources, review members and roles, including owner, editor, and viewer, and manage billing and custom rules.
Enable and use Google Cloud APIs through the API and services dashboard, accessing 200 plus APIs across categories like database, compute, monitoring, security, and examples like the Dialogflow API.
Learn to use Cloud Shell to interact with Google Cloud services via the command line, authorize your account, and create and edit files with touch, vi, and cat.
Explore Google Cloud compute services, including App Engine, Compute Engine, Kubernetes Engine, Cloud Functions, Cloud Run, and Bare Metal Solution, and how Google manages containers and virtual machine workloads.
Discover Google Cloud storage services, data transfer options, and transfer plans, including nearline and coldline object storage, plus databases like Spanner and sequel for scalable data management.
Explore Google Cloud Fundamentals 101's big data and analytics services in the GCP console, including dataflow, Cloud Composer, cloud data fusion, and data catalog, data studio, and Spark and Hadoop.
Explore core Google Cloud networking services, including VPC, dedicated and partner interconnect, Cloud Armor and SSL policies, Cloud DNS, Cloud Router, VPN, Traffic Director, and the Network Intelligence Center.
Explore Google Cloud AI and ML services, including Vision API, Translation API, Natural Language API, Speech to Text, and Text to Speech, and learn to start using these APIs.
Explore Google Cloud IoT Core to ingest and integrate IoT data with GCP using Dataflow and BigQuery, and enable the API with tutorials and reference architectures.
Create a Google Cloud vm using Compute Engine; configure name, region, machine type, os, and access. View network details, logs, and learn to delete the instance to avoid charges.
Create a globally unique bucket in Google Cloud Storage, then upload and download files, organize with folders, and manage permissions, metadata, and basic file operations.
Explore Google BigQuery for data warehousing and analytics, including querying public data sets, creating datasets and tables, and applying machine learning on your tables.
Explore the spectrum of Google Cloud certifications, from associate cloud engineer to professional roles like cloud architect, data engineer, network engineer, and security engineer, plus G Suite certifications.
Prepare for the Google Cloud associate engineer certification by mastering setting up, planning and configuring, deploying and implementing, operating, and securing cloud solutions, with practical resources and practice tests.
Prepare for the Google Cloud Architect exam by mastering designing and planning cloud solutions, security and compliance, case studies, and flexible formats (online proctored or on-site).
Explore the Google Cloud data engineer certification, covering designing, building, and operating data processing systems and machine learning models, with a two-hour exam costing $200, available online proctored or on-site.
This is an Introductory course to get started on Google Cloud Platform (GCP). During this course you will learn about what is Cloud Computing , what are different Cloud computing models, Important GCP services and hands o
This course will also help you are planning to build or change your career to GCP. This course will also help to plan one of highly valued Google Certifications like "Google Associate Cloud Engineer", "Professional Cloud Architect" etc.