This 1 Days course will introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). Then you will learn many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

Module 1: Getting Started with Google Cloud Platform

This module will start with the understanding of Google Cloud Platform resource hierarchy, Identity and Access Management (IAM), IAM roles. Further you will learn Cloud Marketplace (formerly Cloud Launcher).

Module 2: Virtual Machines in the Cloud

This module introduces about the Virtual Private Cloud (VPC) Network, Compute Engine and, Important VPC capabilities.

Module 3: Storage in the Cloud

This module describes and differentiates among GCP's core storage options: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, and Google Bigtable also learn the comparison between them.

Module 4: Containers in the Cloud

This module deep dive into the Containers, Kubernetes, and Kubernetes Engine. Then we will learn the introduction of Hybrid and Multi-Cloud Computing (Anthos).

Module 5: Applications in the Cloud

In this module we will start with the introduction of App Engine. Then we cover Google App Engine Standard Environment, Google App Engine Flexible Environment, Google Cloud Endpoints and Apigee Edge.

Module 6: Developing, Deploying and Monitoring in the Cloud

This module cover about the popular tools for development, deployment, and monitoring in GCP.

Module 7: Big Data and Machine Learning in the Cloud

End-of-course conclusion we will learn about Big Data and Machine Learning includes Cloud Dataflow, BigQuery, Cloud Pub/Sub and Cloud Datalab and, Machine learning APIs.

In this 3 Days training you will learn all about Google Cloud Platform Course. During the training, you will learn to explore and deploy solution elements, including infrastructure components such as networks, systems and applications services, deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Essential Cloud Infrastructure: Foundation

In this course we start with the Introduction of Google Cloud Platform. We will also learn about the Virtual networks includes Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules. Then we will learn about Virtual machines like compute engine, Compute options.

    Module 1: Introduction to Google Cloud Platform

    Module 2: Virtual Networks

    Module 3: Virtual Machines

Essential Cloud Infrastructure: Core Services

Then we cover about Organizations, Roles, Members, Service accounts of Cloud IAM. Learn about Data Storage Services, Cloud SQL, Cloud Spanner, Cloud Datastore and, cloud Bigtable. Going through the modules we will know about the resource management, Cloud Resource Manager, Quotas, Labels, Names, Billing. At the last we will cover Resource Monitoring, Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging.

    Module 4: IAM

    Module 5: Data Storage Services

    Module 6: Resource Management

    Module 7: Resource Monitoring

Elastic Cloud Infrastructure: Scaling and Automation

This section includes about Interconnecting Network which includes Cloud Virtual Private Network (VPN), Cloud Router, Cloud Interconnect, External Peering, Cloud DNS. Then we will learn about Load balancing along with Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing. This section also cover Autoscaling, Policies, Configuration. Then we will also learn Infrastructure Automation with Google Cloud Platform API also learn Infrastructure Automation with Deployment Manager with Configuration, Cloud Launcher. Finally, learn about the manages services which includes Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datala.

    Module 8: Interconnecting Networks

    Module 9: Load Balancing

    Module 10: Autoscaling

    Module 11: Infrastructure Automation with Google Cloud Platform APIs

    Module 12: Infrastructure Automation with Deployment Manager

    Module 13: Managed Services

Elastic Cloud Infrastructure: Containers and Services

This course concludes with the introduction of Containers and Service. In services we will learn Application Infrastructure Services which includes Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs. Then we cover Application Development Services which contains about app engine. Conclude with Containers, Kubernetes Engine, Container Registry, Kubernetes Engine, App Engine, or Containers on Compute Engine?

    Module 14: Application Infrastructure Services

    Module 15: Application Development Services

    Module 16: Containers

In this 2 Days training you will learn all about Google Cloud Platform Course.

Module 1: Foundations of GCP Security

Module 2: Cloud Identity

Module 3: Identity and Access Management

Module 3: Configuring Google Virtual Private Cloud for Isolation and Security

Module 4: Monitoring, Logging, Auditing, and Scanning

Module 5: Securing Compute Engine: techniques and best practices

Module 6: Securing cloud data: techniques and best practices

Module 7: Protecting against Distributed Denial of Service Attacks: techniques and best practices

Module 8: Application Security: techniques and best practices

Module 9: Content-related vulnerabilities: techniques and best practices

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