Google Cloud Architect Training 2017-11-09T13:21:40+00:00

Google Cloud Architect Training

Cloud Technologies/Google Cloud Architect Training

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Google Cloud Architect Training

Cloud Architect Google Certification Google Cloud Platform

 

Our Google cloud bootcamp offers google cloud architect training that enables developers to have more knowledge about Google Cloud Platform (GCP). Through an understanding of cloud architecture and Google technology, a developer with google cloud architect training can design and develop solutions to drive business objectives.

Objective Of This Google Cloud Boot Camp:-

This Google cloud boot camp will give you the knowledge about: google cloud architecture, google cloud solution infrastructure, security, implementations of cloud architecture, and so on.

TRAINING METHODOLOGY

In Class: $2,999
Locations: NEW YORK CITY, D.C, BAY AREA.
Next Session: 25th Nov 2017

Online: $1,499
Next Session: On Demand

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Google Cloud Architect Training | Cloud Architect Google Certification Google Cloud Platform

Instructor: John Doe, Lamar George

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Google Cloud Architect Training

Cloud Architect Google Certification Google Cloud Platform

Google Cloud Platform

Google Cloud Platform (GCP) is a set of public cloud computing services that Google has. The platform consist of: hosted services for compute, storage and application development (that run on Google hardware). Google Cloud Platform services can be accessed by software developers (with google cloud architect training), cloud administrators (with google cloud architect training) and other enterprise IT professionals (with google cloud architect training) over the public internet or through a dedicated network connection.

 Google Cloud Platform (GCP) have services for compute, storage, networking, big data, machine learning (ML) and the internet of things (IoT), as well as cloud management, security and developer tools. Developers (with google cloud architect training) use the core cloud computing products in Google Cloud Platform.

These Google Cloud Platform products are:

  • Google compute engine is an infrastructure-as-a-service (IaaS) that provides virtual machine instances for workload hosting.
  • Google App Engine is a platform-as-a-service (PaaS) that gives software developers access to Google’s scalable hosting. Developers (with google cloud architect training) can also use a software developer kit (SDK) to develop software products that run on App Engine. Developers (with google cloud architect training) use it.
  • Google Cloud Storage is a cloud storage platform designed to store large, unstructured data sets. Google also offers database storage options, including Cloud Data store for NoSQL nonrelational storage, Cloud SQL for MySQL fully relational storage and Google’s native Cloud Bigtable database. Developers (with google cloud architect training) use it.
  • Google Container Engine is a management and orchestration system for Docker containers, which run within Google’s public cloud. Google Container Engine is based on the Google  Kubernetes container orchestration engine. Developers (with google cloud architect training) use it.
  • Google Cloud Platform offers application development and integration services. For example, Google Cloud Pub/Sub is a managed and real-time messaging service that allows messages to be exchanged between applications. In addition, Google Cloud Endpoints allow developers (with google cloud architect training) to create services based on RESTful APIs, and then make those services accessible to Apple iOS, Android and JavaScript clients. Other offerings include Anycast DNS servers, direct network interconnections, load balancing, monitoring and logging services. Developers (with google cloud architect training) use it.

Google have higher-level services such as big data and machine learning (ML), to its cloud platform. Google big data services such as Google BigQuery for SQL-like queries made against multi-terabyte data sets. In addition, developers (with google cloud architect training) can use Google Cloud Dataflow, which is a data processing service intended for analytics. Developers (with google cloud architect training) can use Google Cloud Dataflow to extract, transform and load (ETL).  Google Cloud Dataflow can do real-time computational projects. The platform also includes Google Cloud Dataproc, which offers Apache Spark and Hadoop services for big data processing. Developers (with google cloud architect training) use it.

This Cloud Machine Learning Engine is a managed service to build and train machine learning models. Various APIs are also available for the translation and analysis of speech, text, images and videos. Developers (with google cloud architect training) use it.

Google also provides services for IoT, such as Google Cloud IoT Core, which is a series of managed services that enable users to consume and manage data from IoT devices.

The Google Cloud Platform (GCP) suite of services is always evolving, and Google periodically introduces, changes or discontinues services based on user demand or competitive pressures.  Developers (with google cloud architect training) use it.

The cloud computing is a cheaper alternative to scale data center compute and storage. This cloud computing is evolved into a range of services. The cloud has evolved into three different areas that include Infrastructure as a service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).  Developers with google cloud architect training use it.

Google Cloud Platform(GCP), which is in an intense battle with Amazon Web Services and Microsoft’s Azure. Google Cloud Platform (GCP) made several recent moves to expand its market and offer a potential distinction from the other IaaS offerings. Developers with google cloud architect training use it.

Google Cloud Platform (GCP) said that “Network Service Tiers Alpha” has two tiers of cloud network service. The most important standard for Google is the Premium Tier. Companies that have purchased Google Cloud today are already using the Premium Tier. Developers with google cloud architect training use it.

The second tier of Google Cloud Platform (GCP) is a new service named Standard Tier, deliver your outbound traffic from GCP to the internet over transit (ISP) networks instead of Google’s network. Its performance of the Standard Tier is comparable to that of other leading public clouds mainstay offerings. Developers with google cloud architect training use it.

There are two main differences between the tiers. First is that the traffic in the Premium tier flows enters Google’s private network at the POP closest to your end user.  The second difference between the two tiers is the global load balancing versus regional load balancing.  Developers with google cloud architect training use it.

Google developed a beta version of Cloud IoT Core. Google had all the essential building blocks for developing and deploying scalable IoT solutions in its cloud platform. Using Cloud IoT Core, Google exposes an industry-standard MQTT broker and a device registry  devices and sensors. Developers with google cloud architect training use it.

An enterprise IoT PaaS must have a scalable device management layer complemented by a robust data processing pipeline. Developers with google cloud architect training use it.

The device registry is like a central repository of all the devices connected to the platform. It contains device metadata such as serial number, make, model, location, asset id and more.

The device registry (in Google Cloud IoT Core) is provisioned and exposed as an endpoint in a particular region. The endpoint can be used to connect the devices for the first time and for sending machine-to-machine (M2M) commands. The registry also stores per-device security credentials, which are used for whitelisting and blacklisting devices. Developers with google cloud architect training use it.

Chef is a continuous automation platform. Chef and Goofle Cloud Plataform enable users to drive continuous automation across infrastructure, compliance and applications. Developers with google cloud architect training use GCP.

Nowadays, enterprises are moving their applications, services and data to the cloud. Cloud IAM is used to put appropriate access controls in place to help ensure that the right people can access the right data at the right time.

Verily Life is using custom roles to have high standards of patient trust by carefully managing the granularity of data access granted to people and programs based on their ‘need-to-know. Developers with google cloud architect training use it.

IAM offers three primitives roles for Owner, Editor, and Viewer that make it easy to get started, and over one hundred service-specific predefined roles that combine a curated set of permissions necessary to complete different tasks across GCP. Custom roles, primitive roles and predefined roles are used by users  that need.

Google Cloud IoT Core is a fully managed service on Google Cloud Platform (GCP) to help securely connect and manage IoT devices at scale. There are many customers across industries such as transportation, oil and gas, utilities and healthcare that have used the service. Developers with google cloud architect training use it.

Cloud IoT Core is available to all users in beta. Cloud IoT Core help developers (with google cloud architect training) to connect and centrally manage millions of globally dispersed IoT devices

The company “Smart Parking designs” develops and produces leading-edge technology that enables clients to manage parking efficiently and cost effectively. This platform, built on Google Cloud Platform (by developers with google cloud architect training), leverages Cloud IoT Core to allow input from any number of distributed devices within a city. Smart Parking is able to drive city-wide analytics and interconnected logic using powerful streams of real-time data. Developers with google cloud architect training use it.

“Smart Parking designs” company devices are used and constantly send a huge volume of data. “Smart Parking designs” company connects these devices to Cloud IoT Core to have a secure and reliable way to not only ingest that data. Developers with google cloud architect training use it. Their systems are performing and can push updates into devices in order to ensure we deliver the best products and services as cost effectively as possible.

Tellmeplus  (award-winning AI platform) leverages machine learning and big data for predictive models in domains like customer or asset intelligence. It helps experts to have faster and more accurate predictions in IoT-based applications. Using Predictive Objects with Cloud IoT Core, the joint customers can deploy and run predictive models on Google Cloud Platform (GCP) as well as inside devices managed by Predictive Objects. Developers with google cloud architect training use it.

Their automated approach is ideally suited for deployment using Google Cloud IoT Core. Developers with google cloud architect training use it. This integration enables predictive models to not only run inside Google Cloud Platform but also inside the objects themselves, whether they are connected or not, with a single point of control and a unified management console.

Google Cloud Platform (GCP) gets faster with NVIDIA P100 GPUs in beta. The NVIDIA Tesla P100 is the state of the art of GPU technology. Developers with google cloud architect training use it.

Cloud GPUs can accelerate workloads including machine learning training and inference, simulation, seismic analysis, molecular modeling, and many more high performance compute use cases. Developers with google cloud architect training use it.

Cloud GPUs provide an unparalleled combination of flexibility, performance and cost-savings. Google’s custom VM shapes and incremental Cloud GPUs provide the ultimate amount of flexibility. Developers with google cloud architect training use it. Cloud GPUs are offered to provide bare-metal performance. Cloud GPUs are available at all levels of the stack.

Cloud Natural Language (Through predefined content classification) sort automatically documents and content into more than 700 different categories. Developers with google cloud architect training use it. This makes it ideal for industries like media and publishing. Using machine learning with Cloud Natural Language, these companies can now automatically parse the meaning of their articles and content to organize them more efficiently.

Hearst (one of the largest mass media publishers) uses Cloud Natural Language Processing in their content management system to automatically tag entities in articles and will be using categories such as sports, entertainment, technology and more. Google Cloud Natural Language is very accurate for content classification. Actually, content classification is available in beta for all Cloud Natural Language users. Developers with google cloud architect training use it.

Sentiment analysis is one of Cloud Natural Language’s most popular features. It can also parse the sentiment of places or things.

Motorola (using Entity Sentiment Analysis) analyzes customer sentiment about its products across multiple sources such as Twitter, online community forums, and customer service emails. The insight helps Motorola quickly turn feedback into actionable results and increase customer satisfaction. Their developers with google cloud architect training use it.

Motorola uses Cloud Natural Language alongside its in-house natural language algorithms to get richer, more granular understanding of its customers to better serve them. Their developers with google cloud architect training use it.

Entity sentiment analysis is available for all Cloud Natural Language users.

Many companies use Google Cloud Enedpoints to authenticate and authorize calls to APIs rather than (or even in addition to) trying to secure them through networking. Developers with google cloud architect training use it. In fact, providing more security for calls across a hybrid environment. Cloud Endpoints use the Extensible Service Proxy, based on NGINX, which can validate a variety of authentication schemes from JWT tokens to API keys.

Dedicated Interconnect is a new way to connect to Google Cloud and access the largest cloud in the world.

Dedicated Interconnect lets companies establish a private network connection directly to Google Cloud Platform (GCP) through one of our Dedicated Interconnect locations. Developers with google cloud architect training use it. Dedicated Interconnect also offers increased throughput and even a potential reduction in network costs.

Companies with data and latency-sensitive services, such as Metamarkets, a real-time analytics firm, benefit from Dedicated Interconnect.

With Dedicated Interconnect, enterprises get a direct connection to GCP VPC networks with connectivity to internal IP addresses.

Dedicated Interconnect can be configured to offer a 99.9%.

Because it combines point and click deployment with ongoing monitoring, Dedicated Interconnect is easy to provision and to manage.

Many businesses are moving their internal applications to the cloud, and are using cloud identity to ensure their sensitive data is protected when doing so. Developers with google cloud architect training use it. Cloud Identity-Aware Proxy (Cloud IAP) provides granular access controls and is easy to use so that companies can quickly and more securely host some internal apps in the cloud.

Cloud IAP can add groups to the access control lists, thereby making sure applications are only safely accessible to the users that need them from anywhere on the Internet.

Cloud IAP shifts access controls from the network perimeter to individual users. This means users can evaluate all of an application’s access requests by taking into account who the user is and what they want to access, eliminating the need for setting up virtual private clouds and copying access control policies for each new application.

Users can grant access to employees or vendors without worrying about unreliable VPNs that require client-side installs using Cloud IAP. Developers with google cloud architect training use it. Admins can now determine who should be able to access each application based on the app’s unique security considerations.

Rolls-Royce and Google (using Google Cloud Platform) wants to develop further its intelligent awareness systems, which are believed to be essential to making autonomous ships a reality.  They have developers with google cloud architect training wants to make autonomous ships

This collaboration between Rolls-Royce and Google (using Google Cloud Platform) is the first in the marine sector. Rolls-Royce wants to use Google’s Cloud Machine Learning Engine to further train the company’s artificial intelligence (AI) based on object classification system for detecting, identifying and tracking the objects a vessel can encounter at sea. Developers with google cloud architect training use it.

Rolls-Royce said that these intelligent systems will help to facilitate an autonomous future, these systems can benefit maritime businesses right now making vessels and their crews safer and more efficient. Rolls-Royce  and Google Cloud  can make these systems better faster. Developers with google cloud architect training are in this project.

Google Cloud said  that they are exploring the possibilities presented by machine learning, Rolls-Royce can combine the latest technology advancements (of Google Cloud Platform) with its deep knowledge of the maritime industry, which is bringing significant improvements to the sector. Developers with google cloud architect training are in this project.

Rolls-Royce will be able to tap on Google Cloud’s software to create bespoke machine learning models which can interpret large and diverse marine data sets created by Rolls-Royce. Developers with google cloud architect training are in this project.

Using this Google Cloud or any other type of information, the models can be developed from anywhere in the world and are accessible globally allowing thousands of users (of this system).  Developers with google cloud architect training are in this project. Models can therefore be trained on large quantities (terabytes) of data. This will be essential as autonomous ships become commonplace. Developers with google cloud architect training are in this project using google cloud platform technology.

In the longer term, Rolls-Royce and Google plan to undertake joint research on unsupervised and multimodal learning. Rolls-Royce and Google will also test whether speech recognition and synthesis are viable solutions for human-machine interfaces in marine applications. Developers with google cloud architect training are in this project.

They will also work on optimizing the performance of local neural network computing on board ships using open source machine intelligence software libraries such as Google’s TensorFlow. Then developers (with google cloud architect training) are using Google’s TensorFlow and Google Cloud Platform.

Rolls-Royce wants to make intelligent awareness systems that will make vessels safer, easier and more efficient to operate by providing crew with an enhanced understanding of their vessel’s surroundings. Developers with google cloud architect training are in this project.

This is a huge project that has ambitious goals in the future. It seems that this Project will succeed. The aim of this project is to achieve an autonomous system using fusing data from a range of sensors with information from existing ship systems, such as Automatic Identification System (AIS) and radar. Data from other sources, including global databases, will also have a role. Developers with google cloud architect training are in this project.

 Technavio said that global cloud computing market in education will see a compound annual growth rate of more than 26 percent between 2017-2021.

K-12 schools and districts use cloud computing to store and manage data on Internet-based servers, instead of on local servers hosted by the institution. Their developers with google cloud architect training use it.  SaaS, or software as a service, models offer access to a software system or platform online, like Microsoft Classroom or Google Classroom. Infrastructure as a service, or IaaS, refers to vendor-hosted data storage.

Cloud services can be less expensive for districts than maintaining their own infrastructure. Their developers with google cloud architect training use it.  Using Cloud services, schools can integrate new technologies and store more data without having to update or purchase additional hardware.

The adoption of mobile learning and an increased focus on learning analytics are also driving the market for cloud computing, the analysts say. Cloud computing can help schools and districts to manage big data. Their developers with google cloud architect training use it.  Instructional software hosted in the cloud often can track and analyze student’s performance, providing the driving engine for personalized learning programs.

Technavio says that Google Cloud Platform has market with manufacturers, suppliers, and industry experts.

Cloud computing provides the foundation for modern enterprises that span start-ups to mega corporations and the government. Developers with google cloud architect training use it.  The cloud computing is a cheaper alternative to scale data center compute and storage, but evolved into a range of services. In a span of more than a decade, the cloud has evolved into three distinct areas that include Infrastructure as a service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).  There are many developers that use cloud computing.

Google Cloud Platform(GCP), embroiled in an intense battle with Amazon Web Services  and Microsoft’s Azure made several recent moves to expand its total addressable market and offer a potential distinction from the other IaaS offerings. Google Cloud Platform is needed for many google cloud developers.

Verimatrix (the specialist in securing and enhancing revenue for network) connected devices and services, today announced its approach to the emerging internet of things (IoT) applications space with Vtegrity. This new Verimatrix solution addresses the critical security gaps that exist with many current IoT services that fail to ensure the integrity of connected devices. Vtegrity provides the fundamental elements to secure the device software, device communications, and threat detection. These elements are essential to protect IoT-based revenue streams. Their developers with google cloud architect training use it.

Verimatrix has established security technologies and ecosystem partnerships, Verimatrix has created a progressive IoT solution that extends the benefits of the same hardware. Their developers with google cloud architect training use it.  Their developers with google cloud architect training use it.

The IoT market can be characterized as a large number of business applications that rely on device-to-cloud communication to generate value for the customer and revenue streams for the service provider. As the market matures, the critical nature of overall application integrity has become more apparent. All revenue streams must be underpinned by a comprehensive approach to security. Their developers with google cloud architect training use it.

Verimatrix has built Vtegrity to address the core security elements required to support an IoT service. Working in concert, these elements protect revenue streams and maintain consumer confidence. Their developers with google cloud architect training use it.

Verimatrix has been able to leverage much of its existing partner ecosystem to support the IoT market, including device manufacturers, code update services, IoT cloud application providers, such as Amazon Web Services (AWS) and system-on-chip (SoC) providers. Plus, Verimatrix has begun collaborating with leading SoC providers that are excited to extend the relationship.

Verimatrix specializes in securing and enhancing revenue for network-connected devices and services around the world and is recognized as the global number one in revenue security for IP-based video services. Developers with google cloud architect training use it.

AWS dominates the cloud market. Oracle is fully committed to gunning for the exploding cloud marketplace. AWS took exception to his comments and decided to issue a public rebuke. Developers with google cloud architect training use it.

AWS’s cloud is not at all elastic, but AWS clusters can resize  when you want.

AWS is a technology provider for companies such as Tesla and Uber. AWS created the market it now dominates. It certainly dominates perceptions in the market, which seems more important these days. That makes AWS a target for companies such as Oracle. Developers with google cloud architect training use it.

They solved real-life enterprise problems such as data migration, security, and porting of old and poorly designed applications. These developers with google cloud architect training developed it to resolve these problems.

The cloud providers seem to focus on services such as machine learning, serverless, and containers, when the enterprises are just trying to make it to next year’s budget planning with enough migrated workloads to simply justify the use of cloud computing. Developers with google cloud architect training use it.   This is the new technology cloud revolution. The failure to ensure the adoption of the cloud on a widespread basis will stop that revolution.

These companies want the data and applications be placed in public clouds, and working well the first time. This means vendors need to focus on the daily grind as the services mentioned above. Developers with google cloud architect training use it.

Google cloud bootcamp of Bigdaaguys offers qualify courses of Google Cloud Platform (GCP) to acquire a job as google cloud developer in industries Google or any other company. The best way to learn about Google Cloud Platfor (GCP) is to take a course with us. Google cloud architect training covers the basic theory and practical examples.

Actually, being a google cloud engineers is a great opportunity to develop new applications. Indeed, the salary for a Google cloud engineers is of $120,736 per year.

CURRICULUM

Role of the Cloud Architect.
Learn about Solution Domains as an approach to design.
Lab: Console and Cloud Shell.

Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules.
Subnetworks for resource management instead of physical network topology.
Lab: Virtual Networking.

GCE, tags, VM options, V CPUs, disk options, images, and special features of persistent disks for VMs.
Essential Cloud Infrastructure: Core Services

Members, roles, organizations, account administration, service accounts.
Lab: Cloud IAM.

Billing, Quotas, Labels, Names, Cloud Resource Manager.
Lab: Lab Billing.

Cloud Storage, Datastore, Bigtable, Cloud SQL.
Lab: Cloud Storage.
Lab: Cloud SQL.

VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS.
Lab: VPN and Cloud Router.
Elastic Cloud Infrastructure: Scaling and Automation

Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager, Cloud Launcher.
Lab: Hadoop Cluster Maker.
Lab: Virtual Machine.

Load Balancing, Instance Groups, Autoscaler.
Lab: Autoscaling.

Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging.
Lab: Resource Monitoring (Stackdriver).

Containers, Google Container Engine (GKE), and Container Registry.

Learn about Google’s layered security strategy that uses a multifaceted approach to provide platform security services and benefits.

Dataproc, Dataflow, BigQuery, Datalab.
Lab: BigQuery and Datalab.
Elastic Cloud Infrastructure: Containers and Services

App Engine, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions.

Google App Engine (GAE), Dev Tools, Cloud Source Repos.
Lab: App Engine Development.

Containers, Google Container Engine (GKE), and Container Registry.
Lab: Kubernetes Load Balancing.

Online: $1,499
Next Batch: On Demand

In Class: $2,999
Locations: New York City, D.C., Bay Area
Next Batch: starts from Nov 25th 2017

COURSE HIGHLIGHTS

Skill level: Intermediate
Language: English
Certificate: No
Assessments: Self
Prerequisites: Basic Python programming

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FAQ'S

Advanced Course like Cloud Architect Google Certification Platform duration largely depends on trainee requirements, it is always recommended to consult one of our advisors for specific course duration

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.

You will work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready

Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

The Cloud Architect Google Certification Platform duration by BigdataGuys will not only increase your CV potential but will offer you a global exposure with enormous growth potential.

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INSTRUCTORS

John Doe
Learning Scientist & Master Trainer 
John Doe has been a professional educator
for the past 20 years. He’s taught, tutored,
and coached over 1000 students, and he
holds degrees in Physics and Literature
from Northwestern University. He has
spent the last 4 years studying how
people learn to code and develop applications.

Lamar George
Learning Scientist & Master Trainer 
He has been a professional educator for
the past 20 years. He’s taught, tutored,
and coached over 1000 students, and
he holds degrees in Physics and Literature
from Northwestern University. He has
spentthe last 4 years studying how
people learn to code and develop applications.

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Telephone No.202-897-1944
Area
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Description
Cloud Architect Google Certification boot camp will give you the knowledge about: google cloud architecture, google cloud solution infrastructure, security, implementations of cloud architecture, and so on.