Google Cloud Computing Platform Training
Google Cloud Platform (GCP) is a suite of cloud computing and DevOps services provided by Google. It offers a range of infrastructure and platform services that enable organizations to build, deploy, and manage applications and services in the cloud. GCP provides scalable and flexible computing resources, storage options, data analytics, and machine learning tools, and networking capabilities.
Applications of Google Cloud Platform:
Here are some common uses and applications of Google Cloud Platform:
Web and Mobile Applications:
GCP provides a scalable infrastructure for hosting web and mobile applications. Developers can utilize services like Google Compute Engine for virtual machines, Google App Engine for building and deploying scalable applications, and Google Cloud Functions for server-less computing.
Data Storage and Analysis:
GCP offers robust storage options for storing and managing data. Google Cloud Storage provides object storage for storing and retrieving files, while Google Cloud SQL and Google Cloud Spanner are managed database services for relational and globally distributed databases, respectively. Big Query allows for fast and scalable data analytics, and services like Dataflow and Dataproc enable data processing and batch or real-time data analysis.
Machine Learning and Artificial Intelligence:
GCP provides a suite of services for machine learning and artificial intelligence (AI) applications. Google Cloud AI Platform offers pre-trained models and tools for building and deploying machine learning models. AutoML enables users to create custom ML models without extensive expertise, and TensorFlow allows for advanced deep learning capabilities.
Internet of Things (IoT):
GCP provides services for connecting, managing, and analyzing data from IoT devices. Google Cloud IoT Core allows for secure device connectivity and management, while services like Pub/Sub enable real-time messaging and data streaming from IoT devices. Data can be analyzed using other GCP services like Big Query or Cloud Machine Learning Engine.
Big Data Processing:
GCP offers a range of services for processing and analyzing large datasets. Data can be ingested, transformed, and analyzed using services like Google Cloud Dataflow, Google Cloud Dataproc, and Google Cloud Pub/Sub. Big Query provides a server less data warehouse for fast SQL queries on large datasets, while Cloud Data store and Fire store offer NoSQL document databases.
Media and Content Delivery:
GCP provides services for media processing and content delivery. Google Cloud CDN ensures fast and reliable content delivery to users worldwide, while services like Video Intelligence API enable advanced video analysis and content recommendation. Cloud Storage and Cloud SQL can be used for storing and serving media files.
DevOps and Continuous Delivery:
GCP offers tools and services to support DevOps practices and continuous delivery. Google Cloud Build provides a fully managed CI/CD platform, while Cloud Source Repositories offer private Git repositories for version control. Kubernetes Engine (GKE) enables containerized application deployment and management.
Benefits of GCP Training
Enhanced Skills and Knowledge:
It provides a deep understanding of GCP’s capabilities, enabling professionals to design, develop, deploy, and manage applications and solutions in the cloud.
Career Advancement Opportunities:
GCP is a highly sought-after skill in the job market. By completing GCP training and earning certifications, individuals can differentiate themselves from their peers and enhance their career prospects.
Expanded Job Opportunities
GCP training opens up opportunities to work with organizations that utilize GCP for their cloud infrastructure and services. As more businesses adopt cloud technologies, the demand for professionals with GCP expertise continues to grow. GCP training can provide a competitive edge when applying for roles related to cloud architecture, DevOps, data engineering, machine learning, and more.
GCP training equips individuals with knowledge about cost optimization strategies and best practices.
Improved Cloud Operations: (Cloud Computing and DevOps)
This training enables professionals to effectively manage and operate cloud infrastructure and services.
- Introduction to Cloud Computing and GCP
- GCP Core Infrastructure Services
- GCP Database Services
- GCP Data Analytics and Machine Learning
- GCP Networking and Security
- GCP Application Development and Deployment
- GCP DevOps and Tools
- GCP Cost Management and Optimization
Meet Your Mentors
He has 23 yrs of experience in IT. Suman worked at top MNCs like Wipro, AT&T, Yahoo, Walmart, etc. Skilled in leadership, IT budget ownership, incident management, Hadoop Solutions, and design and managing teams across various geographies.
Manigandan has over 16 years of experience in cloud projects for Fortune 500 companies. He has a strong background in architecture and implementation of AWS, Azure, and GCP, along with hands-on experience in DevOps tools.
As a blockchain expert, David has been bringing integrated blockchain, particularly Hyperledger, Ethereum, and big data solutions, to the cloud. He has previously worked on Hadoop, AWS, big data, and Pentaho projects.
Total Admission Fee
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
"Begin your journey with a 20% upfront payment, and our dedicated associate will guide you through the enrollment process."
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Frequently Asked Questions
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. It offers a range of infrastructure and platform services that enable organizations to build, deploy, and manage applications and services in the cloud. GCP provides scalable and flexible computing resources, storage options, data analytics, and machine learning tools, and networking capabilities
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GCP heavily relies on Linux-based systems. Understanding basic Linux commands and the command-line interface will be advantageous for managing and interacting with GCP resources.
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