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3 John 2017

9 labākie mācību kursi ar Google Cloud platformu

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rakstīja

Izmantojot Google Cloud platformu, jūs varat izgatavot, pārbaudīt un izvietot lietojumprogrammas Google pārāk pielāgojamā un uzticamā veidā jūsu tīmekļa, portatīvās un aizmugures režīmā.

Mākoņa platforma piedāvā pilnu mākoņa priekšmetu un administrāciju klāstu datoram, krājumu veidošanai, organizēšanai, milzīgai informācijai, mašīnmācībai, operācijām, un tas ir tikai aisberga gals.

Google Cloud Platform resursi

Cloud Platform sastāv no fizisko resursu izvietojuma, piemēram, datoriem un cieto disku diskiem, kā arī virtuāliem resursiem, piemēram, virtuālām mašīnām (VM), kas Google serveru saimniecībās ir plaši un plašs. Katrs serveru fermas lauks atrodas visā pasaulē. Apgabali ietver Centrālameriku, Rietumeiropu un Austrumāziju. Katrs apgabals ir zonu uzkrāšanās, kas tiek nošķirtas viena no otras vietnes iekšienē. Katru zonu atzīst ar nosaukumu, kas apvieno burta identifikatoru ar apgabala nosaukumu. Piemēram, zona a Austrumāzijas apgabalā ir nosaukta kā Āzija-austrumi1-a.

Šī aktīvu nodošana dod dažas priekšrocības, ietverot atkārtošanos, ja tiek sagrauts vilšanās un samazināta ineritāte, meklējot aktīvus tuvāk klientiem. Šajā aprakstā papildus ir izklāstīti daži standarti par to, kā aktīvus var izmantot kopā.

Turpmākie ir labākie apmācības kursi un sertifikāti Google Cloud platformā:

  • Solution Developer Step 1 platformas pamati (CP100A)
  • Solution Developer Step 2 Google Cloud risinājumu izstrāde (CPD200)
  • Google konteineru dzinējs un Gubernets
  • Google Cloud Platform sistēmas operāciju speciālistiem
  • Google mākoņa platforma risinājumu arhitektiem - CPA200
  • Google mākoņa platformas lielo datu un mašīntulkošana
  • Google Cloud Platform - kvalificēts datu analītiķis (CPE201)
  • Google Cloud datu plūsmas plānošana un Pub / Sub
  • Google lielais datu analītiķu vaicājums (CPB200)

 

  1. GOOGLE CLOUD PLATFORMAS PAMATI - CP100A

Šajā klasē tiek iepazīstināti dalībnieki ar Google Cloud Platform vienumiem un administrācijām. Izmantojot pedagogu kombināciju, prezentācijas, demonstrējumi un praktiskās laboratorijas aizveda, Google Analytics mārketinga platformas novērtējums un to, kā apvienot mākoņa arhitektūru uz uzņēmējdarbības metodoloģiju.

audience

Šī klase tiek piedāvāta pasākumu izstrādātājiem, struktūru darbības ekspertiem un vienošanās izstrādātājiem, kuri vēlas izvietot lietojumprogrammas un iesniegt pieteikumu situācijas Google Cloud platformā. Šī kategorija ir piemērota arī ierēdņiem un uzņēmumu vadītājiem, kuri novērtē Google Cloud platformas spēju pielāgoties viņu biznesa vajadzībām.

Priekšzināšanas

Nav. Daba ar lietojumprogrammu pilnveidošanu, Linux darba shēmas, ietvara operācijas un informācijas izpēte / mašīntulkošana ir noderīga, lai izprastu nodrošināto jauninājumu.

Mērķi

Ceļā uz šī vienas dienas kursa beigām dalībnieki varēs:

  • Atšķiriet katra Google Cloud Platform vienuma un administrācijas iemeslu un novērtējumu
  • Noskaidrot atšķirību starp Iaas un PaaS
  • Norādiet metodes, kā izveidot savienojumu ar Google Cloud Platform administrācijām
  • Aprakstiet kursus, kuros klienti ir izmantojuši Google Cloud Platform, lai uzlabotu viņu organizācijas
  • Uzziniet, kā izvēlēties piemērotu lietotnes izvietošanas vidi Google Cloud platformā: Google App Engine, Google konteineru dzinējs vai Google Compute Engine
  • Izvietojiet lietojumprogrammu: Google App Engine, Google Container Engine un Google Compute Engine
  • Padomājiet par Google Cloud Platform rezerves alternatīvām: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable un Google Cloud Datastore.
  • Izvietojiet lietojumprogrammu, kas izmanto Google Cloud Datastore un Google Cloud Storage, lai saglabātu informāciju
  • Ieliekiet informāciju pakalpojumā BigQuery un uzdodiet jautājumu
  1. GOOGLE CLOUD PLATFORMAS (CPD200) RISINĀJUMU ATTĪSTĪBA

Šī klase iepazīstina dalībniekus ar Google Cloud Platform platformas izstrādes risinājumu. Izmantojot pedagogu kombināciju, tika prezentācijas, izstādes un praktiskās laboratorijas, pētnieki saprata, kā izveidot mākoņa arhitektūras lietojumprogrammas, izmantojot Google App Engine, Google Cloud Datastore un Google Cloud mēdiji.

audience

Paredzams, ka šī klase būs pieredzējušiem lietojumprogrammu inženieriem, kuriem jāapzinās, kā pārvietot lietojumprogrammas uz mākoņu vietām vai izveidot vietējās mākoņa arhitektūras lietojumprogrammas Google Cloud platformai.

Priekšzināšanas

Pirms došanās uz šo kursu dalībniekiem vajadzētu būt:

  • Pāriet uz CP100A - Google Cloud platformas pamati (vai proporcionāla pieredze)
  • Būtiska iespēja ar maksas līniju instrumentiem un linux darba struktūras situācijām
  • Sastopas lietojumprogrammu un API veidošana, izmantojot tipisku programmēšanas dialektu, piemēram, Java vai Python
  • Agrāka notikumu uzlabošana, kas notiek gan telpās, gan atklātā mākoņa vidē

Mērķi

Ceļā uz šī kursa beigām biedriem būs iespēja:

  • Pārraudzīt Google Cloud Source krātuves, izmantojot Google Cloud platformas konsoli
  • Pārbaudiet App Engine lietojumprogrammu, izmantojot App Engine SDK
  • Atveriet App Engine attīstības servera konsoli
  • Veidojiet API, izmantojot Google mākoņa gala punktus
  • Pārbaudiet Cloud Endpoint API, izmantojot API Explorer
  • Lietojumprogrammas Dinamiskā lietojumprogramma, izmantojot App Engine SDK
  • Konfigurēt, strukturēt un konfigurēt lietojumprogrammu App Engine, izmantojot dažādas administrācijas
  • Veidojiet klienta ID, izmantojot Google Cloud platformas konsoli
  • Drošas App Engine administrācijas un Cloud Endpoints API, kas izmanto verifikāciju
  • Configure and transfer new forms of App Engine administrations
  • Incorporate Google Cloud Logging into App Engine applications
  • Survey amount utilization in a Google Cloud Platform extend
  • Coordinate diverse sorts of capacity with App Engine applications
  • Make and execute an information display for use with Google Cloud Datastore
  • Execute an assortment of inquiries in Google Cloud Datastore
  • Overhaul the list arrangement in Google Cloud Datastore
  • Execute exchanges utilizing Google Cloud Datastore
  • Audit Google Cloud Trace reports in the Google Cloud Platform Console
  • Coordinate the Memcache API into an App Engine application to expand execution
  • Configure, run and audit the yield of Google Cloud Security Scanner
  • Configure the scaling conduct of individual App Engine Services
  • Make App Engine handlers for Push Task Queues
  • Send email from an App Engine application utilizing the Mail API
  • Plan Tasks in App Engine utilizing the Cron Service
  • Overhaul the setup of the Cron Service
  • Secure Task Push, and Cron Service handlers
  • Send out Google Cloud Platform information from a venture
  • Erase Google Cloud Platform tasks and assets
  1. GOOGLE CONTAINER ENGINE AND KUBERNETES – CP306A

This class acquaints members with Google Container Engine (GKE) and Kubernetes. Through a mix of teacher drove presentations, showings, and hands-on labs, understudies take in the key ideas and practices for deploying and keeping up applications utilizing Google Container Engine.

audience

This class is planned for arrangements designers, frameworks operations experts, arrangement modelers, and improvement operations experts who create, move, and deploy compartment construct applications with respect to Google Cloud Platform (GCP).

Priekšzināšanas

Pirms došanās uz šo kursu dalībniekiem vajadzētu būt:

  • Gone to CP100A – Google Cloud Platform Fundamentals (or equal understanding)
  • Essential capability with charge line apparatuses and linux working framework situations
  • Earlier frameworks operations or advancement operations encounter, either on-premises or in an open cloud environment
  • Nature with compartments and holder based advancements, for example, Docker

Mērķi

Toward the end of this one-day class, members will have the capacity to:

  • Distinguish the motivation behind and utilize cases for Google Container Engine and Kubernetes
  • Clarify the capacity of the holder group segments: cases, marks, replication controllers, and administrations
  • Distinguish the reason for and utilize cases for Google Container Registry
  • Make a Docker picture and send it to the Google Container Registry
  • Clarify the capacity of the bunch segments: the ace occasion and group hubs
  • Utilize the Cloud Platform Console to make a holder bunch
  • Utilize the Google Cloud SDK summon line devices and the kubectl order line utility to communicate with compartment bunches
  • Characterize a case utilizing a JSON format
  • Deploy the case to a Container Engine bunch
  • Make a Container Engine bunch to have a progressively scaled gathering of Redis occasions
  • Finish an arrangement document which characterizes a replication controller and the case setup that it oversees
  • In the wake of making a replication controller and units, rescale the gathering
  • Deploy a compartment based application utilizing YAML documents that characterize administrations, replication controllers, cases
  • Characterize firewall principles and load balancers to uncover an administration for a compartment based application
  1. GOOGLE CLOUD PLATFORM FOR SYSTEMS OPERATIONS PROFESSIONALS CPO200

This class acquaints members with the usage of use situations and open cloud framework utilizing Google Cloud Platform. Through a mix of educator drove presentations and hands-on labs, understudies figure out how to deploy cloud foundation parts, for example, systems, frameworks, and applications. This course is intended to give members a strong hands-on understanding and is fundamentally lab-centered.

audience

This class is planned for Systems Operations experts and Systems Administrators utilizing Google Cloud Platform to make or move application situations and foundation

Priekšzināšanas

Pirms došanās uz šo kursu dalībniekiem vajadzētu būt:

  • Go to CP100A – Google Cloud Platform Fundamentals (or comparable experience)
  • Būtiska iespēja ar maksas līniju instrumentiem un linux darba struktūras situācijām
  • Earlier frameworks operations encounter, either on-premises or utilizing an open cloud

Mērķi

Toward the end of this four-day course, members will have the capacity to:

  • Comprehend the center occupants to be considered when planning and deploying to a cloud
  • Utilize the Google Developers Console to make and deal with different undertakings
  • Utilize benefit records and authorizations to share see level access between activities
  • Make Google Compute Engine examples
  • Make a non-default system and audit your system arrangement
  • Look at default and non-default systems
  • Make firewall-rules with and without labels
  • Make and utilize a tweaked Compute Engine picture
  • Set approval scopes for a Compute Engine case
  • Hold an outside IP address for an occurrence
  • Preview a Compute Engine example
  • Preview an information circle
  • Make a picture utilizing a boot diligent circle
  • Transfer a picture to Google Container Registry
  • Make a Compute Engine occasion assemble with examples
  • Make a Cloud SQL occasion utilizing the Cloud SDK
  • Deploy and test a web application
  • Include occasion and venture metadata
  • Question occurrence and venture metadata utilizing the Cloud SDK
  • Make an occurrence utilizing a startup script in metadata and Google Cloud Storage
  • Make an occurrence with a shutdown script and introduce the Cloud Logging operator
  • Utilize the API Explorer to inquiry an API ask
  • Run test code that uses the Google API Client Library
  • Test and fabricate a holder that uses the Cloud SQL APIs
  • Make a case format and oversaw occurrence gather
  • Configure an oversaw case bunch for autoscaling
  • Make different autoscaled oversaw case bunches
  • Configure blame tolerant HTTP stack adjusting
  • Test wellbeing checks for use with HTTP stack adjusting
  • Oversee application deployment utilizing Jinja and Python layouts with Google Cloud Deployment Manager
  • Erase Google Cloud Platform activities and assets
  1. GOOGLE CLOUD PLATFORM ARCHITECT FUNDAMENTALS CPA200

audience

The target group is individuals will’s identity outlining arrangements utilizing Google Cloud Platform however who don’t have a ton of involvement with planning cloud-based arrangements.

Mērķi

Toward the end of this one-day class, members will have the capacity to:

  • Comprehend the center occupants to be considered when outlining and deploying to a cloud
  • Be sufficiently certain to influence what Google Cloud Platform offers without concentrating on undifferentiated hard work
  • See how to begin on Google Cloud Platform
  • Have the capacity to recognize the fitting Google Cloud Platform items to use for prevalent design designs
  1. GOOGLE CLOUD PLATFORM BIG DATA & MACHINE LEARNING FUNDAMENTALS CPB100

Kursa apraksts

This  class acquaints members with the Big Data and Machine Learning abilities of Google Cloud Platform. It gives a brisk outline of the Google Cloud Platform and a more profound plunge of the information preparing abilities.

audience

This class is expected for Data investigators, Data researchers and Business examiners. It is additionally appropriate for IT chiefs assessing Google Cloud Platform for use by information researchers.

This class is for individuals who do the accompanying with enormous information:

  • Separating, Loading, Transforming, cleaning, and approving information for use in examination
  • Outlining pipelines and models for information preparing
  • Making and keeping up machine learning and factual models
  • Questioning datasets, imagining inquiry comes about and making reports

Priekšzināšanas

Before going to this course, members ought to have approximately one (1) year of involvement with at least one of the accompanying:

  • A typical question dialect, for example, SQL
  • Separate, change, stack exercises
  • Information displaying
  • Machine learning and additionally insights
  • Programming in Python

Mērķi

Ceļā uz šī vienas dienas kursa beigām dalībnieki varēs:

  • Distinguish the reason and estimation of the key Big Data and Machine Learning items in the Google Cloud Platform
  • Utilize CloudSQL and Cloud Dataproc to relocate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Utilize BigQuery and Cloud Datalab to do intuitive information investigation
  • Pick between Cloud SQL, BigTable and Datastore
  • Prepare and utilize a neural system utilizing TensorFlow
  • Pick between various information handling items on the Google Cloud Platform
  1. Google Cloud Platform - kvalificēts datu analītiķis (CPE201)

The Google Cloud Platform Qualified Data Analyst exam is planned for Data Analysts and Data Scientists in charge of:

  • Breaking down and imagining enormous information
  • Actualizing cloud-based huge information arrangements
  • Deploying or moving huge information applications to the general population cloud
  • Executing and keeping up expansive scale information stockpiling situations
  • Changing/preparing enormous information
  1. Google Cloud datu plūsmas plānošana un Pub / Sub

This instructor-led class introduces participants to Google Dataflow. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to use Dataflow to extract, transform, and load data from multiple data sources and into Google BigQuery for analysis.

Mērķi

  • Incorporate Dataflow into a major information handling system
  • Program bunch and spilling Dataflow pipelines utilizing the SDK
  • Change information with PCollections
  • Execute and screen Dataflow employments
  • Test and troubleshoot Dataflow pipelines

 

  1. GOOGLE BIGQUERY FOR DATA ANALYSTS – CPB200

This course gives hands-on abilities in ingesting, breaking down, changing and picturing information utilizing BigQuery and getting the best execution when utilizing it at scale. This course expands on the wide subjects shrouded in CPB101 by diving further into the decisions and tradeoffs.

audience

This class is proposed for information experts and information researchers in charge of: investigating and picturing huge information, actualizing cloud-based huge information arrangements, deploying or moving huge information applications to people in general cloud, executing and keeping up expansive scale information stockpiling situations, and changing/handling huge information.

Priekšzināšanas

Pirms došanās uz šo kursu dalībniekiem vajadzētu būt:

  • Gone to CP100A – Google Cloud Platform Fundamentals OR CPB100 – Google Cloud Platform Big Data and Machine Learning Fundamentals (or proportional experience)
  • Encounter utilizing a SQL-like inquiry dialect to investigate information

Mērķi

Ceļā uz šī kursa beigām biedriem būs iespēja:

  • Comprehend the reason for and utilize cases for Google BigQuery
  • Depict routes in which clients have utilized Google BigQuery to enhance their organizations
  • Comprehend the engineering of BigQuery and how questions are prepared
  • Associate with BigQuery utilizing the web UI and summon line interface
  • Distinguish the reason and structure of BigQuery mappings and information sorts
  • Comprehend the reason for and focal points of BigQuery goals tables and storing
  • Utilize BigQuery occupations
  • Change and load information into BigQuery
  • Trade information from BigQuery
  • Store question brings about a goal table
  • Make a unified inquiry
  • Send out log information to BigQuery and inquiry it
  • Comprehend the BigQuery estimating structure and assess components for controlling question and capacity costs
  • Recognize best practices for improving question execution
  • Investigate normal blunders in BigQuery
  • Utilize different BigQuery capacities
  • Utilize outside apparatuses, for example, spreadsheets to associate with BigQuery
  • Picture BigQuery information
  • Utilize get to controls to limit access to BigQuery information
  • Question Google Analytics Premium information sent out to BigQuery

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